{
  "meta": {
    "name": "Online Income Knowledge Base",
    "version": "1.1.0",
    "generated": "2026-10-17",
    "content_updated": "2026-10-13",
    "entries": 76,
    "sources": 136,
    "case_studies": 49,
    "licence_note": "Data from aitrainer.work is used under CC BY 4.0. Founder interviews are summarised in our own words with attribution; we don't republish transcripts.",
    "confidence_scale": {
      "A": "Confirmed by an official/primary source in this review",
      "B": "Reputable press/research/aggregator with method, or official source older than 30–90 days",
      "C": "Community/self-reported consensus, a single aggregator, or a podcast claim",
      "D": "Single weak source, vendor/marketing content, or seeded and not yet verified"
    },
    "fact_kinds": {
      "official": "Stated by the platform itself",
      "reported": "Reported by press/aggregator/research",
      "community": "Self-reported by workers/founders/creators",
      "claim": "Marketing or host/guest claim, not independently checked",
      "estimate": "Our own derived estimate"
    },
    "rungs": {
      "1": {
        "name": "Paid tasks",
        "short": "Paid tasks",
        "blurb": "The platform finds the work and sets the pay. Fastest first money, lowest ceiling."
      },
      "2": {
        "name": "Sell your skill",
        "short": "Your skill",
        "blurb": "You set your price and win clients, students or employers through a marketplace or network."
      },
      "3": {
        "name": "Run a service",
        "short": "Service",
        "blurb": "You own the client relationship and package your work into clear offers."
      },
      "4": {
        "name": "Build an asset",
        "short": "Asset",
        "blurb": "A product or audience that earns without your hours. Slow start, no ceiling."
      },
      "5": {
        "name": "Own a business",
        "short": "Ownership",
        "blurb": "Buy or run something with capital, staff or premises."
      }
    },
    "editorial_fields": [
      "description",
      "how_it_works",
      "pros",
      "cons",
      "steps",
      "tips",
      "red_flags",
      "trust_signals",
      "one_liner",
      "examples"
    ],
    "editorial_note": "one_liner, description, how_it_works, pros, cons, steps, tips, red_flags, trust_signals and examples are editorial guidance written from the entry's listed sources. Only `facts` (and the earnings/time/cost numbers) are claims; each fact carries its own sources, kind, confidence and as_of date."
  },
  "entries": [
    {
      "id": "affiliate_content",
      "name": "Affiliate & referral content",
      "kind": "platform",
      "category": "creator_audience",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Earn commissions by recommending products you actually use — works only with trust, disclosure and real comparisons.",
      "description": "Recommend products you actually use and earn a commission or referral fee per signup or sale. It only works with trust: real comparisons, clear disclosure, and rankings that aren't driven by commission.",
      "how_it_works": [
        "Pick products you use and an audience that needs them",
        "Join the programs and read their terms (allowed channels, brand use)",
        "Publish comparisons or tutorials with clearly labeled links",
        "Track conversions and update content when terms change"
      ],
      "who_its_for": [
        "creator",
        "marketer",
        "professional"
      ],
      "skills": [
        "writing",
        "seo",
        "content_creation",
        "research"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "unknown",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": true,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "commission per sale/lead",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          3000
        ],
        "ceiling": "high",
        "stability": 2,
        "note": "Referral programs vary: e.g., Mercor pays 20% of a referee's earnings up to 4x their hourly rate."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          30,
          365
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 2,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "No product to build",
        "Scales with content"
      ],
      "cons": [
        "Programs change commission terms unilaterally",
        "Needs an audience or search traffic"
      ],
      "red_flags": [
        "Must label affiliate links clearly (EU/Germany: 'Werbung'/'Anzeige' or marked link next to it; US: FTC)",
        "Ranking products by commission destroys trust"
      ],
      "trust_signals": [],
      "steps": [
        "Read each program's rules (e.g., Mercor forbids impersonating Mercor or recruiters)",
        "In the EU, label links as advertising right next to the link"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Disclosure (Germany/EU)",
          "value": "The commercial purpose must be recognizable where readers click: a notice only at the end of a text is not enough, and teasers leading to affiliate content must be labeled too (LG München I, 9 Jul 2024, I HK O 12576/23, § 5a (4) UWG; not final at publication). Abmahnung risk.",
          "sources": [
            "rosepartner-affiliate",
            "paffpro-de-affiliate"
          ],
          "as_of": "2024-08-08",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Mercor referral economics",
          "value": "20% of referee earnings up to 4x referee hourly rate",
          "sources": [
            "mercor-docs-referrals"
          ],
          "as_of": "2026-10-17",
          "confidence": "A",
          "kind": "official",
          "note": ""
        }
      ],
      "sources": [
        "paffpro-de-affiliate",
        "mercor-docs-referrals",
        "rosepartner-affiliate"
      ],
      "related": [
        "newsletter",
        "niche_directory"
      ],
      "leads_to": [],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 1500.0,
        "first_dollar_min_days": 30,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T5": 1,
          "T1": 1,
          "T2": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "afterquery",
      "name": "AfterQuery",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://experts.afterquery.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 45,
      "one_liner": "Fast-growing YC startup paying working professionals to document how they reason through real cases.",
      "description": "Experts write teaching-style material: the conclusion, reasoning, rejected alternatives, missing information and novice mistakes. Valued ~$3.2B (reported, Sept 2026) with a $100M run-rate (April 2026).",
      "how_it_works": [
        "Apply as a working professional in your field",
        "Write structured expert material: the conclusion, your reasoning, rejected alternatives, missing information and typical novice mistakes",
        "Weekly payout via Stripe (reported) in ~95 countries"
      ],
      "who_its_for": [
        "professional",
        "senior_professional",
        "clinician",
        "lawyer",
        "phd_academic"
      ],
      "skills": [
        "medicine",
        "law",
        "finance",
        "consulting",
        "engineering",
        "writing",
        "analysis",
        "domain_expertise"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "practitioner-level expertise",
        "experience": "working professional",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "~95 Stripe payout countries",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "limited",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": "~95 Stripe payout countries"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly or per task",
        "advertised": null,
        "realistic": [
          50,
          150,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          50,
          150
        ],
        "monthly_potential": null,
        "ceiling": "high",
        "stability": 2,
        "note": "Median listed $87/h (n=172)."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async, part-time",
        "first_dollar_days": [
          14,
          45
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 4,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "High median listed pay ($87/h)",
        "Uses real professional judgment, not generic rating",
        "Weekly Stripe payouts (reported)"
      ],
      "cons": [
        "Volume depends on lab demand in your field",
        "IP terms may license your methodology broadly"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Apply in the field where you have the most years of practice",
        "Prepare a few anonymized case walk-throughs",
        "Read the IP and confidentiality terms before signing"
      ],
      "tips": [
        "Check your employment contract for outside-work restrictions",
        "Never use real client/patient data",
        "Read IP terms: you may grant a perpetual licence to your methodology"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pay & payout",
          "value": "Median $87/h (n=172); weekly via Stripe; 95 payout countries",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Company",
          "value": "Reported $3.2B valuation (Sept 2026); $100M run-rate (Apr 2026); YC W25",
          "sources": [
            "metaintro-afterquery"
          ],
          "as_of": "2026-10-13",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-dataset",
        "metaintro-afterquery"
      ],
      "related": [
        "mercor",
        "ethos"
      ],
      "leads_to": [
        {
          "id": "expert_archive_tool",
          "why": "You already document how experts reason; package that reasoning as a tool for your field.",
          "curated": true
        },
        {
          "id": "expert_networks",
          "why": "Uses the same skills: medicine, law, finance.",
          "curated": false
        },
        {
          "id": "micro_acquisitions",
          "why": "Uses the same skills: finance, analysis, domain expertise.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 100.0,
        "monthly_mid": null,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2026-11-27",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": [
          2150,
          6450
        ],
        "source_tiers": {
          "T3": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "agent_connectors",
      "name": "Connectors & plugins for personal agents (Meta Muse, OpenAI Dots, ChatGPT apps)",
      "kind": "business_model",
      "category": "agent_economy",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 60,
      "one_liner": "Expose a real-world service to personal agents (court bookings, repair dispatch, supplier leads, grocery lists) and earn per booking, lead or subscription.",
      "description": "Personal-agent platforms opened developer programs in 2026 (Muse connectors via API or MCP with Meta review; OpenAI Dots plugins; 'Sign in with ChatGPT' lets users spend their own token allowance in your app, so a free core app costs you no inference). Ideas from the sources: lead gen for B2B suppliers (100 customers × $99/mo), appliance-repair dispatch (~$100 per booking), local padel court/match finder, family dinner → shoppable grocery list, 'real-world APIs' of vetted specialists (permit expediters, customs brokers) for a transaction fee, and analytics for agent discovery.",
      "how_it_works": [
        "Pick a service agents need mid-request (bookings, quotes, leads)",
        "Write one customer outcome; build quote and availability first",
        "Expose it via API or MCP; handle auth, idempotency and edge cases",
        "Submit to platform directories; distribute via creators and partners"
      ],
      "who_its_for": [
        "developer",
        "founder"
      ],
      "skills": [
        "software_engineering",
        "coding",
        "product",
        "sales"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 3,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per booking / lead / subscription / transaction fee",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          10000
        ],
        "ceiling": "very_high",
        "stability": 2,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 10,
        "flexibility": "async",
        "first_dollar_days": [
          30,
          180
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 4,
        "skill_barrier": 4,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "emerging",
        "note": "Distribution inside agent directories is unproven; plan your own channel (creators, product-led sharing, marketplaces)."
      },
      "pros": [
        "An early 'app-store moment'",
        "Platform distribution"
      ],
      "cons": [
        "Platform review and policy risk",
        "Economics are unclear while platforms evolve"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Test a manual sample (e.g., a small batch of leads) before building",
        "Test awkward cases (expired quote, double booking) before submitting"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Muse connector ideas & pricing",
          "value": "Supplier lead gen 100 × $99/mo; repair dispatch ~$100/booking; padel finder booking fee; Instacart shoppable lists",
          "sources": [
            "gi-muse-connectors"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "DevDay launches (per podcast)",
          "value": "Dots personal agent platform w/ plugins; Decisions API; Agents API w/ computer use; Sign in with ChatGPT using user's token allowance",
          "sources": [
            "gi-devday"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-muse-connectors",
        "gi-devday",
        "gi-selling-to-agents"
      ],
      "related": [
        "agent_conversion_agency",
        "niche_data_refinery"
      ],
      "leads_to": [],
      "comes_from": [
        "agent_conversion_agency"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 5000.0,
        "first_dollar_min_days": 30,
        "startup_min": 0,
        "needs_review_by": "2026-12-12",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 3
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "agent_conversion_agency",
      "name": "WebMCP / agent-conversion agency & 'agent mystery shopper'",
      "kind": "business_model",
      "category": "agent_economy",
      "rung": 3,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 90,
      "one_liner": "Make boring business websites usable by visitors' AI agents (WebMCP tools for quotes/bookings) and sell monthly 'can an agent complete the job?' test reports.",
      "description": "WebMCP (Google + Microsoft, experimental in Chrome since ~Feb 2026) lets a site expose tools (search, compare, add to cart, book) to the user's own agent inside the browser session — no API keys. Offers: setup for law firms, HVAC, med spas, dentists ($200–10,000) + $500–700/mo monitoring; or 'agent mystery shopper' reports ($100–few hundred/mo) testing key journeys.",
      "how_it_works": [
        "Pick boring businesses with quote or booking flows",
        "Expose tools (quote, booking, search) via WebMCP, MCP and structured data",
        "Test with agents and fix where they fail",
        "Monthly monitoring and evals retainer"
      ],
      "who_its_for": [
        "developer",
        "freelancer",
        "founder"
      ],
      "skills": [
        "software_engineering",
        "coding",
        "ux",
        "seo",
        "ai_tools"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 3,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "setup + monitoring retainer",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          500,
          10000
        ],
        "ceiling": "high",
        "stability": 2,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 8,
        "flexibility": "async",
        "first_dollar_days": [
          30,
          120
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 4,
        "skill_barrier": 4,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "emerging",
        "note": "Standard still experimental; first-mover upside, adoption risk."
      },
      "pros": [
        "Early market with little competition",
        "Clear before/after demos"
      ],
      "cons": [
        "Experimental standard (WebMCP shipped behind a Chrome flag in 2026)",
        "Buyers may not feel urgency yet"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Build a demo site with WebMCP tools",
        "Offer 'agent mystery shopper' reports as a door-opener"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pricing ideas",
          "value": "$200–10,000 setup + ~$500–700/mo monitoring; mystery shopper $100–few hundred/mo",
          "sources": [
            "gi-webmcp"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-webmcp",
        "gi-selling-to-agents"
      ],
      "related": [
        "agent_readiness_geo",
        "agent_connectors"
      ],
      "leads_to": [
        {
          "id": "micro_saas",
          "why": "Uses the same skills: software engineering, coding, seo.",
          "curated": false
        },
        {
          "id": "plugins_extensions",
          "why": "Uses the same skills: software engineering, coding, seo.",
          "curated": false
        },
        {
          "id": "agent_connectors",
          "why": "Uses the same skills: software engineering, coding.",
          "curated": false
        }
      ],
      "comes_from": [
        "fde_career",
        "toptal"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 5250.0,
        "first_dollar_min_days": 30,
        "startup_min": 0,
        "needs_review_by": "2027-01-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "agent_infrastructure_startup",
      "name": "Agent infrastructure startup (identity, inboxes, wallets, receipts)",
      "kind": "business_model",
      "category": "agent_economy",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "Build what agents need and humans didn't: inboxes, identity & permissions, spend controls, audit receipts, agent analytics — venture-scale, technical.",
      "description": "Agents need things humans didn't: inboxes, identities and permissions, spend controls, receipts and audit trails, agent analytics and capability manifests. This is venture-scale, technical work that competes with funded startups and large platforms (e.g., Stripe agent wallets).",
      "how_it_works": [
        "Pick one primitive agents struggle with",
        "Ship an API/SDK developers can adopt in minutes",
        "Win developer distribution (docs, MCP, examples)",
        "Usage-based pricing"
      ],
      "who_its_for": [
        "developer",
        "founder"
      ],
      "skills": [
        "software_engineering",
        "cybersecurity",
        "product"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 3,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "usage-based SaaS / API",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          50000
        ],
        "ceiling": "very_high",
        "stability": 1,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 40,
        "flexibility": "async",
        "first_dollar_days": [
          90,
          365
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 5,
        "skill_barrier": 5,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Large upside if it works",
        "Every agent builder is a potential customer"
      ],
      "cons": [
        "Competes with funded startups and platforms",
        "Long time to revenue"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Build it for your own agents first; open-source parts for distribution"
      ],
      "tips": [],
      "examples": [
        "AgentMail — email inbox API for agents (YC)",
        "Stripe agent wallets — spend caps, approvals, audit trail"
      ],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Category ideas",
          "value": "Agent SEO agency, identity/permissions, receipts/audit trails, agent-ready docs generator, agent inbox security, agent-readable pricing pages, MCP servers for franchises, sandbox for agents to test SaaS",
          "sources": [
            "gi-selling-to-agents"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-selling-to-agents",
        "gi-13-businesses"
      ],
      "related": [
        "agent_connectors"
      ],
      "leads_to": [],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 25000.0,
        "first_dollar_min_days": 90,
        "startup_min": 0,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "agent_readiness_geo",
      "name": "Agent readiness / AI-search visibility (AEO/GEO) service",
      "kind": "business_model",
      "category": "ai_services",
      "rung": 3,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "Show a business what ChatGPT & co. say about it (missing, wrong price, competitor recommended), then fix its 'agent-readable source of truth' and re-measure monthly.",
      "description": "Run 20–50 buyer-intent prompts across major AI assistants for one vertical; screenshot the errors ('you're not selling the future, you're selling the screenshot'); fix with llms.txt, structured docs, parseable pricing, honest comparison pages, structured FAQs, schema markup, product feeds, changelog, optional MCP/search endpoint. Venture money confirms the category (Profound: $1.8B valuation, Sept 2026) — the opening for individuals is vertical depth.",
      "how_it_works": [
        "Pick a vertical and write 20–50 buyer-intent prompts",
        "Run them across major AI assistants and screenshot the errors",
        "Fix the source of truth (llms.txt, docs, parseable pricing, comparisons, FAQs, schema, feeds)",
        "Re-run the prompts monthly and report changes"
      ],
      "who_its_for": [
        "marketer",
        "consultant",
        "developer",
        "freelancer"
      ],
      "skills": [
        "seo",
        "marketing",
        "content_creation",
        "writing",
        "ai_tools",
        "analysis"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "audit + cleanup project + monthly measurement",
        "advertised": [
          3000,
          20000,
          "project",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          2000,
          20000
        ],
        "ceiling": "high",
        "stability": 3,
        "note": "$3k–10k audits for SMB/B2B; $10–20k for larger B2B (source's suggested pricing)."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 8,
        "flexibility": "async",
        "first_dollar_days": [
          14,
          60
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 3,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "rising",
        "note": ""
      },
      "pros": [
        "A visible, demonstrable problem ('the screenshot')",
        "Recurring measurement retainer",
        "Growing, funded category"
      ],
      "cons": [
        "AI answers are volatile, so results are hard to attribute",
        "Funded tools compete for the horizontal market"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Audit 3 businesses in one vertical for free to build examples",
        "Package an audit + cleanup offer",
        "Sell monthly re-measurement"
      ],
      "tips": [
        "Go vertical: generic AEO is crowded with funded players"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Suggested pricing",
          "value": "$3k–10k audit + cleanup; $10–20k larger B2B; monthly re-run of prompts",
          "sources": [
            "gi-cloudflare"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Category funding",
          "value": "Profound $96M (Feb 2026), $180M Series D at $1.8B (Sept 2026)",
          "sources": [
            "tnw-profound"
          ],
          "as_of": "2026-09-15",
          "confidence": "A",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "gi-cloudflare",
        "gi-selling-to-agents",
        "tnw-profound",
        "gi-marketing-engineer"
      ],
      "related": [
        "agent_conversion_agency",
        "marketing_engineer_career"
      ],
      "leads_to": [
        {
          "id": "micro_saas",
          "why": "Uses the same skills: seo, marketing, ai tools.",
          "curated": false
        },
        {
          "id": "micro_acquisitions",
          "why": "Uses the same skills: seo, marketing, analysis.",
          "curated": false
        },
        {
          "id": "paid_community",
          "why": "Uses the same skills: marketing, content creation, writing.",
          "curated": false
        }
      ],
      "comes_from": [
        "marketing_engineer_career"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 11000.0,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 3,
          "T2": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "ai_automation_builds",
      "name": "AI automation & workflow builds (n8n, Make, Zapier, Claude skills)",
      "kind": "business_model",
      "category": "ai_services",
      "rung": 3,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Fix a broken process, then automate it: project fees from ~$1.5k, process redesigns ~$3k+, maintenance retainers.",
      "description": "Two lessons recur in the sources: (1) redesign before automating — a 16-step process should become 7 before AI touches it; (2) use deterministic code for 'if X then Y' steps and LLMs only where judgment is needed (cheaper, more reliable). Deliverables: process maps, automations, knowledge systems (e.g., a custom GPT answering the 5 questions buyers always ask), Claude skills packs with maintenance.",
      "how_it_works": [
        "Map the current process with the client",
        "Redesign it: delete steps before automating",
        "Use plain code or no-code for deterministic steps and LLMs only for judgment",
        "Hand over with documentation and offer a maintenance retainer"
      ],
      "who_its_for": [
        "freelancer",
        "consultant",
        "developer",
        "professional",
        "career_changer"
      ],
      "skills": [
        "automation",
        "no_code",
        "ai_tools",
        "operations",
        "project_management",
        "coding"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 2,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "projects + retainers",
        "advertised": [
          40,
          250,
          "hour",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": [
          40,
          150
        ],
        "monthly_potential": [
          1000,
          10000
        ],
        "ceiling": "high",
        "stability": 3,
        "note": "Upwork n8n specialists commonly $40–100/h; senior AI-agent/API integrators $125–250+/h (reported)."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          60
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 3,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 2,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Strong demand on marketplaces and locally",
        "Clear deliverables",
        "Maintenance retainers"
      ],
      "cons": [
        "Scope creep",
        "Automations break when connected tools change"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Build 2–3 demo automations for one industry",
        "Offer a fixed-price first project",
        "Write every result up as a case study"
      ],
      "tips": [
        "Price by value (hours saved × the client's hourly cost), not by your hours"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Freelance rates",
          "value": "n8n specialists $40–100/h; senior AI agent/API integration $125–250+/h; AI automation consulting avg ~$50/h (ZipRecruiter)",
          "sources": [
            "layer3-automation"
          ],
          "as_of": "2026-09-02",
          "confidence": "C",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Example project prices",
          "value": "Process redesign $3k–3.5k; Zapier build ~$1.5k; knowledge system (custom GPT for a business broker)",
          "sources": [
            "gi-1000-hour"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "layer3-automation",
        "gi-1000-hour",
        "gi-marketing-agents-2",
        "gi-fde-course"
      ],
      "related": [
        "ai_tools_assessment",
        "vertical_agent_service",
        "fde_career"
      ],
      "leads_to": [
        {
          "id": "vertical_agent_service",
          "why": "Once you've automated the same workflow three times, productize it for one niche.",
          "curated": true
        },
        {
          "id": "local_business_software",
          "why": "Uses the same skills: automation, no code, ai tools.",
          "curated": false
        },
        {
          "id": "micro_saas",
          "why": "Uses the same skills: no code, ai tools, coding.",
          "curated": false
        }
      ],
      "comes_from": [
        "ai_automation_specialist_job",
        "fde_career",
        "malt",
        "upwork"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 95.0,
        "monthly_mid": 5500.0,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": [
          1720,
          6450
        ],
        "source_tiers": {
          "T4": 4
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "ai_automation_specialist_job",
      "name": "AI automation specialist (employed)",
      "kind": "career_path",
      "category": "ai_careers",
      "rung": 2,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Salaried role building internal automations and agents; US listings ~$115–140k for remote AI automation specialists.",
      "description": "Salaried roles building internal automations and agents (n8n/Make/Zapier, APIs, LLM workflows). Remote US listings were ~$115–140k in 2026; job titles vary (AI automation specialist or engineer, operations automation).",
      "how_it_works": [
        "Build a portfolio of automations with measurable results",
        "Apply to operations and automation roles",
        "Show the time or cost you saved"
      ],
      "who_its_for": [
        "professional",
        "career_changer",
        "developer",
        "consultant"
      ],
      "skills": [
        "automation",
        "no_code",
        "ai_tools",
        "operations",
        "coding",
        "project_management"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": true
      },
      "earnings": {
        "model": "salary",
        "advertised": [
          65000,
          140000,
          "year",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": [
          35,
          70
        ],
        "monthly_potential": [
          5000,
          12000
        ],
        "ceiling": "high",
        "stability": 5,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 40,
        "flexibility": "full-time",
        "first_dollar_days": [
          30,
          120
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 3,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 2,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Stable salary",
        "Growing demand"
      ],
      "cons": [
        "Competitive remote market",
        "Inconsistent job titles"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Document projects as before/after case studies",
        "Learn one automation platform plus one programming language"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Salary data",
          "value": "AI Automation Specialist (remote US) ~$115–140k; AI Automation Engineer ~$136k (Glassdoor); broad $65–140k",
          "sources": [
            "layer3-automation"
          ],
          "as_of": "2026-09-02",
          "confidence": "C",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "layer3-automation"
      ],
      "related": [
        "ai_automation_builds",
        "fde_career"
      ],
      "leads_to": [
        {
          "id": "ai_automation_builds",
          "why": "Internal automation work is a portfolio for client projects.",
          "curated": true
        },
        {
          "id": "local_business_software",
          "why": "Uses the same skills: automation, no code, ai tools.",
          "curated": false
        },
        {
          "id": "micro_saas",
          "why": "Uses the same skills: no code, ai tools, coding.",
          "curated": false
        }
      ],
      "comes_from": [
        "invisible_meridial",
        "mindrift",
        "sme_careers"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 52.5,
        "monthly_mid": 8500.0,
        "first_dollar_min_days": 30,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": [
          1505,
          3010
        ],
        "source_tiers": {
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "ai_concierge",
      "name": "AI concierge retainer (done-with-you AI coaching)",
      "kind": "business_model",
      "category": "ai_services",
      "rung": 3,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Two 45-minute screen-share sessions a month building the client's own AI skills/workflows, plus async chat — $1.2–2k/month per client.",
      "description": "After an assessment, offer a monthly retainer: session 1 sets up the client's AI workspace (connect tools, context files, global instructions, a scheduled task, a first skill); later sessions run 'AOA' — audit, optimize, automate — on one workflow at a time. Keep an inventory of wins in a shared hub and define a 90-day win at onboarding.",
      "how_it_works": [
        "Start after an assessment or with warm clients",
        "Session 1: connect tools, context files, global instructions, a scheduled task, a first skill",
        "Later sessions: audit, optimize, automate (AOA) one workflow at a time",
        "Track wins in a shared hub; define a 90-day win at onboarding"
      ],
      "who_its_for": [
        "consultant",
        "professional",
        "teacher",
        "freelancer",
        "career_changer"
      ],
      "skills": [
        "ai_tools",
        "teaching",
        "consulting",
        "automation",
        "prompting",
        "project_management"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": true
      },
      "earnings": {
        "model": "monthly retainer",
        "advertised": [
          1200,
          2000,
          "month_per_client",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          1200,
          12000
        ],
        "ceiling": "high",
        "stability": 4,
        "note": "5 of first 6 prospects closed; $8k MRR in 10 days; capped at 6 clients ≈ $1,000/h effective (self-reported)."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 3,
        "flexibility": "scheduled sessions",
        "first_dollar_days": [
          7,
          60
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 3,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Recurring revenue",
        "High effective hourly rate with few clients",
        "Clients build lasting skills"
      ],
      "cons": [
        "Capacity is capped by your own time",
        "Requires constant AI-tool fluency"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Pitch it to clients who already bought an assessment",
        "Use scarcity pricing: first spots cheaper, then raise the price"
      ],
      "tips": [
        "Cap the number of clients to protect quality"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pricing ladder",
          "value": "$1,200 → $1,500 → $1,800 → $2,000/month; 2×45-min calls + async voice chat (12 business-hour SLA)",
          "sources": [
            "gi-1000-hour"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "gi-1000-hour"
      ],
      "related": [
        "ai_tools_assessment",
        "ai_workshops"
      ],
      "leads_to": [
        {
          "id": "local_business_software",
          "why": "Uses the same skills: ai tools, automation.",
          "curated": false
        },
        {
          "id": "ai_rollup_holdco",
          "why": "Uses the same skills: ai tools, automation.",
          "curated": false
        }
      ],
      "comes_from": [
        "ai_tools_assessment"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 6600.0,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "ai_mobile_app",
      "name": "Niche consumer AI mobile app",
      "kind": "business_model",
      "category": "software_apps",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 90,
      "one_liner": "One 'gotcha' AI feature for a passionate niche, sold via creators and short-form video; subscriptions via RevenueCat.",
      "description": "Playbook from a 19-year-old non-coder (Wrestle AI ~100k downloads, ~$200k revenue): build for a niche you live in, one feature explainable in 3 seconds (photo → calories; upload match → feedback), onboarding that educates + personalizes + creates FOMO before the paywall, then distribution through niche creators at low CPMs and paid ads cloned from the Meta Ad Library. RevenueCat 2026 benchmarks: hard paywalls convert trials ~5x better than freemium; AI apps earn 41% more per user but churn ~36% faster.",
      "how_it_works": [],
      "who_its_for": [
        "creator",
        "founder",
        "early_career",
        "student",
        "sales_person"
      ],
      "skills": [
        "product",
        "social_media",
        "content_creation",
        "sales",
        "no_code",
        "ai_tools",
        "design"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 1,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": "Comfort pitching creators; sales/social skills matter more than code"
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "subscriptions (IAP)",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          10000
        ],
        "ceiling": "very_high",
        "stability": 1,
        "note": "Target ARPU ≥ $2 per download in month 1 (George). Wide variance: a 1.8M-view campaign once produced $35."
      },
      "costs": {
        "startup": [
          500,
          3000
        ],
        "fees": "Apple/Google 15–30%",
        "tools": "App builder (e.g., Rork/Swift), RevenueCat, creator fees (~$1–2 CPM negotiated), optional VA ~$800/mo"
      },
      "time": {
        "min_hours_week": 10,
        "flexibility": "async",
        "first_dollar_days": [
          21,
          120
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 4,
        "skill_barrier": 2,
        "sales": 3,
        "audience": 1,
        "on_camera": 1,
        "people_facing": 0,
        "creativity": 3
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "One feature can carry an app",
        "Creator marketing can be cheap per view when negotiated",
        "Subscription tooling (RevenueCat) is mature"
      ],
      "cons": [
        "Hit-driven: most apps flop",
        "AI app subscribers churn faster",
        "App-store fees of 15–30%"
      ],
      "red_flags": [
        "Buying followers to look established violates platform terms (mentioned in source; don't)"
      ],
      "trust_signals": [],
      "steps": [
        "Scroll your niche's feed 15 min/day: who watches, what problem, how could a creator show the app in 5 seconds?",
        "Build core + branding in ~14 days, then perfect onboarding",
        "Hard paywall + short trial; measure trial→paid and ARPU",
        "Sign 5–10 niche creators; clone winning ad formats; add useful non-viral features to fix churn"
      ],
      "tips": [
        "Target ≥ $2 revenue per download in month 1",
        "Hard paywalls convert trials far better than freemium (10.7% vs 2.1% median)"
      ],
      "examples": [
        "Wrestle AI: ~100k downloads, ~$200k revenue (self-reported)",
        "Cut Coach (combat-athlete weight cutting): $20k/mo",
        "MonAI expense tracker: $35k/mo with one influencer",
        "Locked (gamified fitness) by a 14-year-old: $14k/mo",
        "Journable AI calorie counter: $100k/mo, 80% Android via Google Ads",
        "Prayer Lock: $20k/mo via TikTok UGC + Spark Ads"
      ],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Trial conversion",
          "value": "Hard paywall D35 trial→paid median 10.7% vs freemium 2.1%",
          "sources": [
            "revenuecat-2026"
          ],
          "as_of": "2026-03-19",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "AI app economics",
          "value": "Year-1 realized LTV $30.16 vs $21.37 (+41%); AI monthly plans retain 36% worse",
          "sources": [
            "revenuecat-2026"
          ],
          "as_of": "2026-03-19",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Annual plan churn",
          "value": "~72% of annual subscribers cancel in year 1 (up from ~56%)",
          "sources": [
            "revenuecat-2026"
          ],
          "as_of": "2026-03-19",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Creator pricing anecdote",
          "value": "3M-follower creator: 4 videos + 4 stories for $2,500 (~$1 CPM)",
          "sources": [
            "gi-tjmaxx-app"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Founder case (podcast)",
          "value": "Wrestle AI: ~100k downloads, ~$200k revenue; built by a 19-year-old non-coder",
          "sources": [
            "gi-tjmaxx-app"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Validate before building (AbMax playbook)",
          "value": "Faceless TikTok slideshows 3–4×/day with a 'comment app and I'll send it' call to action; build only if comments arrive within about 7 days; ship in 7 days or less",
          "sources": [
            "ss-t-abmax"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Growth path (AbMax, self-reported)",
          "value": "Big-influencer UGC at thousands per video ran at 5–10% margins; an equity deal with one fitness influencer, then Meta ads (~2–2.5× ROAS) and the same creatives on TikTok ads (~4–5× ROAS) took it to ~$55k/month",
          "sources": [
            "ss-t-abmax",
            "ss-s-ugc-mistake"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Founder-led content (Maxed AI, self-reported)",
          "value": "Filmed 5–10 videos a day, then ran the best organic ones as ads (~$250/day on Meta); about a third of revenue from X followers; $24.99/year upfront pricing",
          "sources": [
            "ss-t-maxed"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Creator pay (app founders)",
          "value": "Micro-creators: ~$100 for 10 test videos; 'in 90% of cases don't pay more than $20 a video' when formats are fully scripted",
          "sources": [
            "ss-t-abmax",
            "ss-s-20-per-video"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Tool stack costs (self-reported)",
          "value": "AI coding ~$200/month (top tier), product analytics ~$20, database ~$20–35, app updates ~$100, plus subscription tooling",
          "sources": [
            "ss-s-80k-stack",
            "ss-t-maxed"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Scale example",
          "value": "~80,000 videos across ~500 accounts in a year (~8B views) behind a ~$150k MRR fitness app",
          "sources": [
            "ss-s-500-accounts"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Ship rough, then rebuild (AbMax)",
          "value": "Two months prompting a prototype in one AI app builder, rebuilt in another in one month; just over $7,000 revenue in the first month after launch",
          "sources": [
            "ss-t-abmax",
            "ss-s-lovable-prototype"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Finding the niche (AbMax)",
          "value": "Search an app-intelligence tool for niches where many apps consistently earn over $10k/month, then build a sharper version for a sub-niche",
          "sources": [
            "ss-t-abmax",
            "ss-s-60k-5-tools"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "revenuecat-2026",
        "gi-tjmaxx-app",
        "rosetta-starterstory",
        "gi-sip-live",
        "ss-t-abmax",
        "ss-s-ugc-mistake",
        "ss-t-maxed",
        "ss-s-20-per-video",
        "ss-s-80k-stack",
        "ss-s-500-accounts",
        "ss-s-lovable-prototype",
        "ss-s-60k-5-tools"
      ],
      "related": [
        "micro_saas",
        "ugc_creator"
      ],
      "leads_to": [],
      "comes_from": [
        "contra",
        "fiverr",
        "ugc_creator"
      ],
      "landscape": {
        "cases_total": 19,
        "cases_12m": 19,
        "latest_case": "2026-05-17",
        "median_claim_monthly_usd": 80000,
        "claims_with_dashboard": 2,
        "evidence": "strong"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 5000.0,
        "first_dollar_min_days": 21,
        "startup_min": 500,
        "needs_review_by": "2027-01-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 13,
        "monthly_at_10h": null,
        "source_tiers": {
          "T3": 1,
          "T4": 11
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "ai_native_service_firm",
      "name": "AI-native service firm (agents do ~90%, you approve)",
      "kind": "business_model",
      "category": "ai_services",
      "rung": 3,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Package one repeat deliverable buyers already purchase (ad creatives, localized franchise campaigns, product demo videos) and fulfil it with AI pipelines + human QA.",
      "description": "Find repeatedly-bought deliverables on Upwork/Fiverr/agency sites; build intake (messy brief → structured job), a model router, QA against the brief, spend/repair caps and an audit log. Filters: budget already exists; obvious unit; work repeats; concrete definition of 'correct'. 'Creative surface, boring operational core.' Claimed gross margins 70–95% vs 10–15% net for traditional agencies (speaker's claim, sponsored episode).",
      "how_it_works": [
        "Find a deliverable that's bought again and again on Upwork/Fiverr/agency sites",
        "Build intake: messy brief → structured job with missing-input checks",
        "Route to creative models, QA against the brief, repair",
        "Add controls: spend caps, repair caps, approval gates, audit log",
        "Start with one package and 5 customers; log every revision and margin leak"
      ],
      "who_its_for": [
        "creative",
        "marketer",
        "founder",
        "freelancer"
      ],
      "skills": [
        "design",
        "video",
        "marketing",
        "ai_tools",
        "automation",
        "operations",
        "performance_marketing"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per deliverable / sprint / monthly package",
        "advertised": [
          500,
          5000,
          "project",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          1000,
          20000
        ],
        "ceiling": "very_high",
        "stability": 3,
        "note": "Example offers: ad 'sprint' for one SKU $750–1,500 then weekly creative packs; franchise localization ~$500/mo pilots priced per location."
      },
      "costs": {
        "startup": [
          100,
          1000
        ],
        "fees": "",
        "tools": "Creative model APIs (one gateway API for many image/video models), orchestration LLM"
      },
      "time": {
        "min_hours_week": 10,
        "flexibility": "async",
        "first_dollar_days": [
          14,
          60
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 3,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 3
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "High margins if the pipeline works",
        "Clients buy outcomes they already budget for"
      ],
      "cons": [
        "Quality control is the whole business",
        "Clients may distrust AI output"
      ],
      "red_flags": [
        "Episode sponsored by an API vendor; margin claims unverified",
        "Client rights/licensing of AI-generated assets must be clear"
      ],
      "trust_signals": [],
      "steps": [
        "Pick one package (e.g., weekly ad creatives for one SKU)",
        "Send 3 watermarked concepts + a 90-second Loom as outreach",
        "Sell a paid sprint, then a monthly pack"
      ],
      "tips": [],
      "examples": [
        "'Friday Ads': weekly creative pack per SKU for e-com brands (prospect via Meta Ad Library)",
        "Franchise campaign localization for 20–200-location brands",
        "Industrial catalog → demo videos & sales graphics for manufacturers (ThomasNet, trade-show exhibitor lists)"
      ],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Offer & prospecting",
          "value": "Ad sprint $750–1,500 per SKU; 3 watermarked concepts + 90-sec Loom as outreach",
          "sources": [
            "gi-solo-ai-firm"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Selection filters",
          "value": "Existing budget, obvious unit, repeat work, concrete definition of correct",
          "sources": [
            "gi-solo-ai-firm"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Margin claim (sponsored episode)",
          "value": "AI-native firms 70–95% gross margin vs 10–15% net for traditional creative agencies (speaker's own builds)",
          "sources": [
            "gi-solo-ai-firm"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-solo-ai-firm",
        "gi-13-businesses"
      ],
      "related": [
        "productized_micro_services",
        "marketing_agent_service"
      ],
      "leads_to": [
        {
          "id": "niche_ecommerce_brand",
          "why": "Uses the same skills: design, marketing, performance marketing.",
          "curated": false
        },
        {
          "id": "ai_rollup_holdco",
          "why": "Uses the same skills: ai tools, automation, operations.",
          "curated": false
        },
        {
          "id": "offline_experience_business",
          "why": "Uses the same skills: marketing, operations.",
          "curated": false
        }
      ],
      "comes_from": [
        "fiverr",
        "marketing_engineer_career"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 10500.0,
        "first_dollar_min_days": 14,
        "startup_min": 100,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 3,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "ai_rollup_holdco",
      "name": "AI roll-up / one-person holding company",
      "kind": "business_model",
      "category": "ownership",
      "rung": 5,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Serve a fragmented service industry with AI first (e.g., bookkeeping cleanup), earn owners' trust, then buy a retiring owner's firm and run it on a shared agent layer.",
      "description": "Funds are doing this at scale (Thrive Holdings: $12B valuation, >70 accounting & IT firms; TaxAI 7,000+ returns at 98% accuracy, prep time -30% — company-reported). The solo version targets firms too small for funds (e.g., a $2M/year bookkeeping firm), promotes an existing senior employee to GM with real upside, and runs intake → preparer → reviewer agents where the reviewer can block but never send; a human approves every client deliverable. Key artefacts: global rules, per-firm rules, corrections log turned into tests.",
      "how_it_works": [
        "Pick one fragmented service industry (e.g., bookkeeping)",
        "Sell a service into it for 6–12 months (cleanup work, document chasing)",
        "Build the agent layer: intake → preparer → reviewer (can block, never send) → human approval",
        "Buy a retiring owner's firm and promote a senior employee to GM with upside",
        "Change nothing visible for 30 days, then move the back office onto the shared layer"
      ],
      "who_its_for": [
        "senior_professional",
        "founder",
        "consultant"
      ],
      "skills": [
        "accounting",
        "finance",
        "operations",
        "business_strategy",
        "ai_tools",
        "automation",
        "domain_expertise"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": true
      },
      "earnings": {
        "model": "ownership cash flow",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          5000,
          100000
        ],
        "ceiling": "very_high",
        "stability": 4,
        "note": ""
      },
      "costs": {
        "startup": [
          50000,
          2000000
        ],
        "fees": "",
        "tools": "SBA/seller financing common in the US"
      },
      "time": {
        "min_hours_week": 40,
        "flexibility": "full-time",
        "first_dollar_days": [
          180,
          720
        ],
        "ramp": "Serve-then-own path: 6–12 months of service work first"
      },
      "profile": {
        "risk": 5,
        "skill_barrier": 5,
        "sales": 3,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 3,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Real cash flows",
        "Margin expansion if the AI layer works",
        "Large supply of retiring owners"
      ],
      "cons": [
        "Capital and financing needed",
        "Staff and client attrition risk",
        "Regulated work needs careful review"
      ],
      "red_flags": [
        "Overpaying and integrating too fast are the classic roll-up failures"
      ],
      "trust_signals": [],
      "steps": [
        "Choose an industry you know",
        "Run a weekly cadence: metrics, GM calls, corrections log → rules and tests, deal sourcing"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Thrive Holdings",
          "value": ">$2B raised at $12B valuation (Aug 2026); >70 businesses; 'Current' >50 accounting firms; TaxAI 7,000+ returns at 98% accuracy (company-reported)",
          "sources": [
            "tnw-thrive"
          ],
          "as_of": "2026-08-13",
          "confidence": "A",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Solo holdco structure",
          "value": "Thesis folder; shared agents/rules/golden set/runbooks; per-firm clients/people/rules/corrections log; reviewer can block, never send",
          "sources": [
            "gi-ai-rollups"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "TaxAI results (company-reported)",
          "value": "7,000+ returns at 98% accuracy; preparation time −30%",
          "sources": [
            "tnw-thrive"
          ],
          "as_of": "2026-08-12",
          "confidence": "B",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Solo holdco target size",
          "value": "Firms too small for funds, e.g., a $2M/year bookkeeping firm",
          "sources": [
            "gi-ai-rollups"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "tnw-thrive",
        "gi-ai-rollups",
        "gi-fde-course"
      ],
      "related": [
        "micro_acquisitions",
        "ai_tools_assessment",
        "fde_career"
      ],
      "leads_to": [],
      "comes_from": [
        "ai_concierge",
        "ai_native_service_firm",
        "ai_tools_assessment",
        "ethos",
        "expert_networks",
        "personal_agent_setup",
        "vertical_agent_service"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 52500.0,
        "first_dollar_min_days": 180,
        "startup_min": 50000,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 4,
        "monthly_at_10h": null,
        "source_tiers": {
          "T2": 1,
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "ai_tools_assessment",
      "name": "AI tools assessment for small businesses ($999 'prescription')",
      "kind": "business_model",
      "category": "ai_services",
      "rung": 3,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "45-minute discovery call → report prescribing 3–7 off-the-shelf AI/SaaS tools that save 5–10 h/week, with a money-back guarantee; it's the door to implementation work.",
      "description": "Corey Ganim's playbook: ICP = businesses with 2–20 employees and $500k–$5M revenue. Record the discovery call, run the transcript through a Claude skill that researches tools, human-QA the picks, deliver a simple templated report (exec summary, effort/impact matrix, pain→tool table, 4-day quick-start plan, financial impact = hours × hourly rate − tool cost), then a 30-min review call with three closing questions. ~50–60% of clients ask for implementation.",
      "how_it_works": [
        "Discovery (don't prescribe on call 1): walk me through yesterday; what do you dread; where does work pile up; magic wand?",
        "AI analysis of the transcript + human QA (swap enterprise tools for SMB-appropriate ones)",
        "Report (template at audittemplate.ai)",
        "Review call: most urgent? DIY or help? timeline?",
        "Upsell: process redesign, automations, knowledge systems, Claude skills, AI concierge retainer"
      ],
      "who_its_for": [
        "consultant",
        "professional",
        "career_changer",
        "freelancer",
        "marketer",
        "founder"
      ],
      "skills": [
        "consulting",
        "ai_tools",
        "automation",
        "no_code",
        "business_strategy",
        "sales",
        "public_speaking",
        "domain_expertise"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 1,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": "You must know the AI/SaaS tool landscape; no coding needed"
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": true
      },
      "earnings": {
        "model": "fixed-fee audit + project upsells + retainers",
        "advertised": [
          999,
          999,
          "assessment",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          1000,
          10000
        ],
        "ceiling": "high",
        "stability": 3,
        "note": "Avg client saves ~7 h/week with ~$60/mo of tools. Upsells: process redesign $3–3.5k, simple automation ~$1.5k, full implementation ~$8k."
      },
      "costs": {
        "startup": [
          0,
          200
        ],
        "fees": "",
        "tools": "Notetaker (Fathom etc.), Claude, report template"
      },
      "time": {
        "min_hours_week": 5,
        "flexibility": "scheduled client calls",
        "first_dollar_days": [
          7,
          45
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 3,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 3,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Low cost, no coding",
        "Fast first revenue",
        "Natural path to implementation work"
      ],
      "cons": [
        "Requires sales comfort",
        "The tool landscape changes monthly, so research must stay fresh"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Pick a local geography or a vertical you know",
        "Run 3 free 15-min mini-audits with people in your network",
        "Host a local 'AI for business' meetup or co-working office hours",
        "Partner with accountants/insurance agents for referrals (referral fee)",
        "Door-knock local service businesses (listener result: 30 doors → 5 meetings → 2 clients)"
      ],
      "tips": [
        "Credit the $999 toward implementation (after marking implementation up)",
        "Niche by geography ('the AI person in Charlotte') or industry (financial services)",
        "EU: be careful with recording calls and client data (GDPR) — ask consent"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Offer & results",
          "value": "$999; ~15 sold in 2026 (by mid-year); 50–60% want implementation; avg 7 h/week saved; avg tool cost ~$60/mo",
          "sources": [
            "gi-1000-hour"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Acquisition channels",
          "value": "Local meetups, door-knocking, local LinkedIn DMs, free mini-audits, referral partners, co-working office hours, posting wins",
          "sources": [
            "gi-1000-hour"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Ideal client profile",
          "value": "Small businesses with 2–20 employees and $500k–$5M revenue",
          "sources": [
            "gi-1000-hour"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "gi-1000-hour",
        "gi-fde-course",
        "gi-agents-saas"
      ],
      "related": [
        "ai_concierge",
        "ai_automation_builds",
        "vertical_agent_service"
      ],
      "leads_to": [
        {
          "id": "ai_concierge",
          "why": "Assessment clients are the natural buyers of a monthly retainer.",
          "curated": true
        },
        {
          "id": "local_business_software",
          "why": "Uses the same skills: ai tools, automation, no code.",
          "curated": false
        },
        {
          "id": "ai_rollup_holdco",
          "why": "Uses the same skills: ai tools, automation, business strategy.",
          "curated": false
        }
      ],
      "comes_from": [
        "ethos",
        "mercor",
        "outlier"
      ],
      "landscape": {
        "cases_total": 1,
        "cases_12m": 1,
        "latest_case": "2026",
        "median_claim_monthly_usd": 8000,
        "claims_with_dashboard": 0,
        "evidence": "thin"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 5500.0,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 3,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 3
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "ai_workshops",
      "name": "AI workshops, meetups & office hours (SMBs, teams, seniors)",
      "kind": "business_model",
      "category": "ai_services",
      "rung": 3,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Teach practical AI in person or live online — local business meetups, co-working office hours, senior-living sessions — and convert attendees into clients.",
      "description": "Low-tech, trust-heavy route: host a monthly 'AI for business' meetup at a co-working space, run free weekly office hours, or teach seniors to use assistants (suggested ~$50/person per 30-min session). Older adults are under-served and don't see themselves as 'old' — market accordingly.",
      "how_it_works": [
        "Pick an audience (local SMBs, teams, seniors)",
        "Host free meetups or office hours, or paid workshops",
        "Teach one practical workflow per session",
        "Follow up within 24 hours and convert attendees into clients"
      ],
      "who_its_for": [
        "teacher",
        "consultant",
        "professional",
        "retiree",
        "career_changer"
      ],
      "skills": [
        "teaching",
        "public_speaking",
        "ai_tools",
        "community",
        "domain_expertise"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": true
      },
      "earnings": {
        "model": "ticketed workshops / corporate sessions / lead gen for services",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          300,
          5000
        ],
        "ceiling": "medium",
        "stability": 3,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 3,
        "flexibility": "scheduled events",
        "first_dollar_days": [
          14,
          60
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 2,
        "sales": 2,
        "audience": 0,
        "on_camera": 1,
        "people_facing": 3,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Builds trust and local reputation",
        "Low cost",
        "Feeds a consulting pipeline"
      ],
      "cons": [
        "Event logistics",
        "Ticket revenue alone is modest"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Ask co-working spaces to host (barter: a free talk for their members)",
        "Run it monthly, collect emails, follow up"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Channel results",
          "value": "Office hours: 10 spaces asked, 2 yes, 11 attendees, 2 follow-ups; meetups compound like SEO",
          "sources": [
            "gi-1000-hour"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Seniors idea",
          "value": "~$50 per person for a 30-min ChatGPT session at senior living facilities",
          "sources": [
            "gi-sip-live"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-1000-hour",
        "gi-sip-live"
      ],
      "related": [
        "ai_tools_assessment",
        "ai_concierge",
        "personal_agent_setup"
      ],
      "leads_to": [
        {
          "id": "paid_community",
          "why": "Uses the same skills: public speaking, community, domain expertise.",
          "curated": false
        },
        {
          "id": "local_business_software",
          "why": "Uses the same skills: ai tools, domain expertise.",
          "curated": false
        },
        {
          "id": "expert_archive_tool",
          "why": "Uses the same skills: ai tools, domain expertise.",
          "curated": false
        }
      ],
      "comes_from": [
        "preply"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 2650.0,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "alignerr",
      "name": "Alignerr (Labelbox)",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://www.alignerr.com",
      "status": {
        "state": "active_turbulent",
        "note": "In Breaking Even's July 2026 tally of community posts, account removals were the most common complaint.",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 30,
      "one_liner": "Labelbox's expert network: a wide advertised pay range, a low median listed rate in aitrainer.work's data, and payment-delay complaints in community forums.",
      "description": "Labelbox's expert network for AI-training work (coding, STEM, languages, voice). The advertised range is very wide ($10–280/h), but the median listed rate was $23/h in October 2026, and community posts in July 2026 focused on account removals.",
      "how_it_works": [
        "Apply to a role and complete its assessments",
        "Get onboarded to a project; rates are set per project",
        "Weekly payment via Deel (reported)"
      ],
      "who_its_for": [
        "professional",
        "developer",
        "multilingual"
      ],
      "skills": [
        "coding",
        "writing",
        "finance",
        "law",
        "languages",
        "voice"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "varies; credential checks for specialist tracks",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": true,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "worldwide, subject to role requirements",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": true,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly / per task",
        "advertised": [
          10,
          280,
          "hour",
          "USD"
        ],
        "realistic": [
          15,
          60,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          15,
          60
        ],
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 1,
        "note": "Median listed $23/h (n=60). Voice work advertised per finished hour can work out far lower."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          14,
          45
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 4,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Wide range of specialist roles",
        "Weekly pay via Deel (reported)"
      ],
      "cons": [
        "Median listed pay far below the advertised range",
        "Removals without explanation reported by the community"
      ],
      "red_flags": [
        "Community posts (2026) describe account removals without explanation and disputes over unpaid hours; we can't verify individual cases",
        "Per-finished-hour voice work can pay a fraction of the headline"
      ],
      "trust_signals": [],
      "steps": [
        "Judge roles by their actual listed rate, not the advertised maximum",
        "Keep screenshots of accepted hours and rates",
        "Keep at least one other platform active"
      ],
      "tips": [
        "For voice projects, calculate pay per hour of your time, not per finished audio hour"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pay",
          "value": "Stated $10–280/h; median listed $23/h (n=60); weekly via Deel",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Community signal",
          "value": "Breaking Even's tally: 103 posts in July 2026; top tag account removals (29); none tagged positive",
          "sources": [
            "breakeven-july"
          ],
          "as_of": "2026-08-09",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-dataset",
        "breakeven-july",
        "breakeven-tier"
      ],
      "related": [
        "outlier",
        "dataannotation"
      ],
      "leads_to": [
        {
          "id": "expert_networks",
          "why": "Uses the same skills: finance, law.",
          "curated": false
        },
        {
          "id": "translation_marketplaces",
          "why": "Uses the same skills: law, languages.",
          "curated": false
        },
        {
          "id": "elevenlabs_voice",
          "why": "Uses the same skills: languages, voice.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 37.5,
        "monthly_mid": null,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2026-11-12",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": [
          645,
          2580
        ],
        "source_tiers": {
          "T3": 1,
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "appen_crowdgen",
      "name": "Appen / CrowdGen",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://crowdgen.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 90,
      "one_liner": "One of the oldest AI-data vendors; huge country coverage, low pay, inconsistent project flow.",
      "description": "Appen's CrowdGen community offers data collection, annotation and rating tasks in 170+ countries. Pay is low and project flow is inconsistent, but the coverage is unusually broad.",
      "how_it_works": [],
      "who_its_for": [
        "multilingual",
        "student",
        "caregiver_part_time"
      ],
      "skills": [
        "languages",
        "transcription",
        "research"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "170+ countries",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": true,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly / per task",
        "advertised": null,
        "realistic": [
          5,
          20,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          5,
          20
        ],
        "monthly_potential": null,
        "ceiling": "low",
        "stability": 2,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          21,
          90
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Available in 170+ countries",
        "Many language-specific projects"
      ],
      "cons": [
        "Trustpilot 1.5/5 (July 2026 snapshot)",
        "Many pass tests but never get projects"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Complete your profile, including languages and devices",
        "Apply to several projects at once; expect waits"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pay & coverage",
          "value": "$10–20/h (some specialist higher); 170+ countries; PayPal/Payoneer/bank; monthly",
          "sources": [
            "airankings-guide"
          ],
          "as_of": "2026-08-16",
          "confidence": "C",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "airankings-guide",
        "aitrainer-dataset",
        "chatgpt-dr-2"
      ],
      "related": [
        "telus_ai",
        "oneforma"
      ],
      "leads_to": [],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 12.5,
        "monthly_mid": null,
        "first_dollar_min_days": 21,
        "startup_min": 0,
        "needs_review_by": "2027-01-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": [
          215,
          860
        ],
        "source_tiers": {
          "T3": 2,
          "T5": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "cambly",
      "name": "Cambly",
      "kind": "platform",
      "category": "teaching",
      "rung": 2,
      "url": "https://www.cambly.com",
      "status": {
        "state": "needs_verification",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "seeded_needs_verification",
      "last_verified": "2026-10-13",
      "review_every_days": 90,
      "one_liner": "Casual English conversation tutoring, no degree needed; low per-minute pay, instant start.",
      "description": "Cambly offers casual English conversation practice and doesn't require a degree; tutors log in and take calls on demand. Pay is per minute and low (historically ~$0.17/min). This still needs verification.",
      "how_it_works": [],
      "who_its_for": [
        "multilingual",
        "student",
        "caregiver_part_time",
        "retiree"
      ],
      "skills": [
        "languages",
        "teaching"
      ],
      "domains": [],
      "languages": [
        "en (native or near-native)"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per minute",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": [
          6,
          12
        ],
        "monthly_potential": null,
        "ceiling": "low",
        "stability": 3,
        "note": "Historically ~$0.17/min (~$10/h) — needs verification."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "log in whenever",
        "first_dollar_days": [
          3,
          21
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 2,
        "people_facing": 3,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Quick to start",
        "No lesson planning"
      ],
      "cons": [
        "Low pay",
        "Per-minute pay makes income unpredictable"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Check current per-minute rates and payout terms on Cambly's tutor page before applying"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [],
      "sources": [],
      "related": [
        "preply"
      ],
      "leads_to": [
        {
          "id": "paid_community",
          "why": "Conversation practice works in groups too; a membership scales beyond 1:1 minutes.",
          "curated": true
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 9.0,
        "monthly_mid": null,
        "first_dollar_min_days": 3,
        "startup_min": 0,
        "needs_review_by": "2027-01-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 0,
        "monthly_at_10h": [
          258,
          516
        ],
        "source_tiers": {},
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "clickworker",
      "name": "Clickworker (and UHRS)",
      "kind": "platform",
      "category": "microtasks_research",
      "rung": 1,
      "url": "https://www.clickworker.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "German microtask marketplace in 136 countries: tagging, short writing, data collection; UHRS access adds Microsoft rating tasks.",
      "description": "Clickworker is a German microtask platform active in 136 countries: tagging, categorization, short texts, surveys and data collection. Access to UHRS (Microsoft's rating platform) is possible after a separate qualification.",
      "how_it_works": [
        "Register and complete assessments to unlock task types",
        "Pick tasks from the job list; pay is per task",
        "Optional: qualify for UHRS projects",
        "Weekly payout via PayPal, Payoneer or bank transfer"
      ],
      "who_its_for": [
        "student",
        "caregiver_part_time",
        "retiree",
        "multilingual"
      ],
      "skills": [
        "languages",
        "writing",
        "research"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "136 countries",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per task",
        "advertised": null,
        "realistic": [
          3,
          15,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          3,
          15
        ],
        "monthly_potential": null,
        "ceiling": "low",
        "stability": 3,
        "note": "Many tasks pay cents; UHRS needs separate qualification."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "fully async",
        "first_dollar_days": [
          3,
          21
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Available in 136 countries",
        "No schedule",
        "Weekly payouts"
      ],
      "cons": [
        "Many tasks pay cents",
        "Effective hourly pay is often in single digits"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Take every relevant assessment to unlock more task types",
        "Track your effective hourly rate and drop task types that fall below your floor"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Coverage & payout",
          "value": "136 countries; weekly via PayPal/Payoneer/bank",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Pay snapshot",
          "value": "$5–15/h; micro-tasks pay cents",
          "sources": [
            "airankings-guide"
          ],
          "as_of": "2026-08-16",
          "confidence": "C",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-dataset",
        "airankings-guide",
        "chatgpt-dr-1"
      ],
      "related": [
        "prolific",
        "mturk"
      ],
      "leads_to": [],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 9.0,
        "monthly_mid": null,
        "first_dollar_min_days": 3,
        "startup_min": 0,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": [
          129,
          645
        ],
        "source_tiers": {
          "T3": 2,
          "T5": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "clipping",
      "name": "Clipping (paid per view)",
      "kind": "platform",
      "category": "creator_audience",
      "rung": 1,
      "url": "https://whop.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 30,
      "one_liner": "Cut short clips from streamers', podcasts' and brands' videos and get paid per 1,000 verified views through campaign marketplaces such as Whop Content Rewards.",
      "description": "Brands and creators fund 'bounties' with a budget and a rate per 1,000 views; clippers post short clips on their own accounts and get paid for verified views after a review window. Rates and earnings figures come mostly from clipping-tool vendors, so treat them as rough. The work is real but volatile: budgets run out first come, first served; platforms can ban accounts for low-originality reposts; and the campaign's view count wins disputes.",
      "how_it_works": [
        "Join a clipping marketplace and pick a funded campaign",
        "Cut short clips from the campaign's source videos",
        "Post them on your own accounts and submit the links",
        "Get paid per 1,000 verified views after review, while the budget lasts"
      ],
      "who_its_for": [
        "student",
        "creator",
        "early_career"
      ],
      "skills": [
        "video_editing",
        "social_media",
        "content_creation",
        "ai_tools"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global where Stripe or bank payouts work",
        "excluded": [],
        "work_auth": "",
        "note": "Clippers without Stripe support reportedly struggle to cash out"
      },
      "geo": {
        "scope": "limited",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": "Stripe or bank payout countries; harder without Stripe support"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": true,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per 1,000 verified views (campaign budget)",
        "advertised": [
          0.2,
          6,
          "1k_views",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          100,
          3000
        ],
        "ceiling": "medium",
        "stability": 1,
        "note": "Vendor guides: beginners ~$100–500/month, consistent daily clippers ~$1–3k/month; typical mid-2026 campaigns $0.50–1.50 per 1,000 views."
      },
      "costs": {
        "startup": [
          0,
          50
        ],
        "fees": "Withdrawal processing fee reportedly in the high single digits (%)",
        "tools": "Editing app or AI clipping tool, several social accounts"
      },
      "time": {
        "min_hours_week": 5,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          30
        ],
        "ramp": "Views must verify and budgets must last; expect weeks to find formats that stick"
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 1,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 2
      },
      "ai_outlook": {
        "trend": "volatile",
        "note": "AI clipping tools lower the skill barrier and raise competition."
      },
      "pros": [
        "No audience needed to start",
        "Fast to try",
        "Teaches you what goes viral"
      ],
      "cons": [
        "Volatile pay; budgets run out",
        "Account bans for repetitive reposts",
        "Low per-view rates on most campaigns"
      ],
      "red_flags": [
        "Budgets can run out before your views verify",
        "The best-paying campaigns are often gambling or crypto; check legality where you live",
        "Posting other people's content outside a licensed campaign is copyright infringement"
      ],
      "trust_signals": [],
      "steps": [
        "Pick campaigns with a payout track record and budget left",
        "Screenshot your analytics after 24 hours, 72 hours and 7 days in case of disputes",
        "Plan conservatively: some of your views will never pay"
      ],
      "tips": [
        "Use what you learn about formats to grow your own page or product later"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pay rates (vendor guides)",
          "value": "$0.20–6 per 1,000 views, average around $1; typical mid-2026 live campaigns $0.50–1.50",
          "sources": [
            "openclip-rates",
            "opus-whop"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "reported",
          "note": "Both sources sell clipping tools"
        },
        {
          "claim": "Typical earnings (vendor guide)",
          "value": "Beginners ~$100–500/month; consistent daily clippers ~$1–3k/month; top earners run many accounts",
          "sources": [
            "openclip-rates"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "How payouts work",
          "value": "Brands set budget, rate and per-clip caps; ~72-hour review window; paid on verified views; budgets end first come, first served",
          "sources": [
            "opus-whop"
          ],
          "as_of": "2026-08-12",
          "confidence": "D",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Founder signal",
          "value": "App founders describe clipping as exploding in 2026 and use it for international downloads",
          "sources": [
            "ss-t-maxed"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "openclip-rates",
        "opus-whop",
        "ss-t-maxed"
      ],
      "related": [
        "ugc_creator",
        "tiktok_creator",
        "topic_media_page"
      ],
      "leads_to": [
        {
          "id": "topic_media_page",
          "why": "Clipping teaches what goes viral; point that skill at a page you own.",
          "curated": true
        },
        {
          "id": "daily_web_game",
          "why": "Knowing why things get shared is the hard part of a viral web game.",
          "curated": true
        },
        {
          "id": "ugc_creator",
          "why": "Uses the same skills: video editing, social media, content creation.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 1550.0,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2026-11-12",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 4,
        "monthly_at_10h": null,
        "source_tiers": {
          "T5": 2,
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "content_engine_service",
      "name": "Founder content engine / AI-assisted ghostwriting ('company brain as a service')",
      "kind": "business_model",
      "category": "ai_services",
      "rung": 3,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Interview founders and teams weekly, turn transcripts into a library of their own approved language, and let AI remix it into daily posts — not AI slop.",
      "description": "Nicolas Cole (Ship 30 for 30; ghostwrote for 300+ founders): content is commodity, personality or original. AI should repeat and remix a person's approved language, not invent it. Service: weekly interviews → insight extraction → posts scheduled across team accounts → performance data back into the loop. Greg calls 'company brains as a service' a home-run B2B idea.",
      "how_it_works": [
        "Weekly interviews with founders and team members",
        "Extract insights into a library of their approved language (a 'digital brain')",
        "Draft posts in their voice; a human edits",
        "Schedule across accounts, feed performance back, remix winners every ~90 days"
      ],
      "who_its_for": [
        "creative",
        "marketer",
        "professional",
        "freelancer",
        "consultant"
      ],
      "skills": [
        "writing",
        "editing",
        "copywriting",
        "content_creation",
        "social_media",
        "research",
        "public_speaking"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "monthly retainers",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          1500,
          15000
        ],
        "ceiling": "high",
        "stability": 4,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 8,
        "flexibility": "async",
        "first_dollar_days": [
          14,
          60
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 2,
        "creativity": 3
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Recurring retainers",
        "Hard to replace because it's built on proprietary insight",
        "Natural path for writers moving into AI"
      ],
      "cons": [
        "Needs client time every week",
        "Quality depends on your interviewing skill"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Run the engine for yourself first",
        "Offer a 30-day pilot to one founder"
      ],
      "tips": [
        "AI should repeat and remix the client's own language, not invent opinions for them"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Framework",
          "value": "Commodity → personality → original content; 'robots repeating me, not writing for me'",
          "sources": [
            "gi-write-with-ai"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Organic LinkedIn engine",
          "value": "Interviews → insights → LLM drafts → multi-account scheduling with analytics → remix winners every ~90 days",
          "sources": [
            "gi-marketing-agents-2"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-write-with-ai",
        "gi-marketing-agents-2",
        "gi-marketing-engineer"
      ],
      "related": [
        "marketing_agent_service",
        "newsletter"
      ],
      "leads_to": [
        {
          "id": "paid_community",
          "why": "Uses the same skills: writing, content creation, social media.",
          "curated": false
        },
        {
          "id": "topic_media_page",
          "why": "Uses the same skills: copywriting, content creation, social media.",
          "curated": false
        },
        {
          "id": "youtube_partner",
          "why": "Uses the same skills: content creation, public speaking.",
          "curated": false
        }
      ],
      "comes_from": [
        "mercor",
        "rev_transcription"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 8250.0,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 3
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "contra",
      "name": "Contra",
      "kind": "platform",
      "category": "freelance_marketplaces",
      "rung": 2,
      "url": "https://contra.com",
      "status": {
        "state": "needs_verification",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "seeded_needs_verification",
      "last_verified": "2026-10-13",
      "review_every_days": 60,
      "one_liner": "Commission-free portfolio + contracting network popular with designers, no-code and AI builders.",
      "description": "Contra positions itself as a commission-free network for independents (designers, no-code and AI builders), built around portfolio pages and contracts. Paid-plan pricing couldn't be verified in October 2026.",
      "how_it_works": [],
      "who_its_for": [
        "creative",
        "freelancer",
        "developer"
      ],
      "skills": [
        "design",
        "ux",
        "no_code",
        "video_editing",
        "ai_tools"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "projects / hourly",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": [
          25,
          100
        ],
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 2,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "No commission on earnings (positioning); paid plans exist but prices not public (conflicting reports)",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          30
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Commission-free positioning for freelancers",
        "Portfolio-first profiles"
      ],
      "cons": [
        "Smaller client base than the big marketplaces",
        "Plan pricing unclear"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Build a portfolio with 3–5 case studies before applying to projects"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [],
      "sources": [
        "toolradar-contra",
        "chatgpt-dr-3"
      ],
      "related": [
        "upwork",
        "fiverr"
      ],
      "leads_to": [
        {
          "id": "productized_micro_services",
          "why": "Uses the same skills: design, ux, video editing.",
          "curated": false
        },
        {
          "id": "ai_mobile_app",
          "why": "Uses the same skills: design, no code, ai tools.",
          "curated": false
        },
        {
          "id": "digital_products",
          "why": "Uses the same skills: design, no code.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 62.5,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2026-12-12",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 0,
        "monthly_at_10h": [
          1075,
          4300
        ],
        "source_tiers": {
          "T5": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "daily_web_game",
      "name": "Shareable daily web game (Wordle-style)",
      "kind": "business_model",
      "category": "software_apps",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 90,
      "one_liner": "A tiny daily game for one niche (sports geography, music, trivia) that players share in group chats; earns from ads plus a pro tier.",
      "description": "Non-coders now ship these in a weekend with AI coding tools. The pattern behind the 2026 hit GeoSports: a five-question daily round, zero tutorial, a score worth sharing, and spin-offs of the same mechanic for other niches. Revenue comes mostly from programmatic ads once daily players are in the hundreds of thousands, plus a small pro subscription. Small niches can work too: a niche music game reportedly earns over $100k a year from a few hundred active users. It's hit-driven: most games never spread.",
      "how_it_works": [
        "Pick a niche you know and a mechanic people already enjoy (map guessing, five daily questions)",
        "Build the smallest playable daily round with AI coding tools",
        "Make the result shareable: a score card people paste into group chats",
        "Add ads once daily traffic is large, and a pro tier for extras",
        "Spin the same mechanic off into neighboring niches"
      ],
      "who_its_for": [
        "creator",
        "developer",
        "founder",
        "career_changer",
        "student"
      ],
      "skills": [
        "coding",
        "ai_tools",
        "gaming",
        "content_creation",
        "social_media",
        "product"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 1,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": "Ship with AI coding tools; a sense for what people share"
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "programmatic ads + pro subscription",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          5000
        ],
        "ceiling": "very_high",
        "stability": 1,
        "note": "Hit-driven. GeoSports (~$40k/month, ~$1,200/day in programmatic ads, 1,800 pro subs) is an outlier, not the typical result."
      },
      "costs": {
        "startup": [
          0,
          300
        ],
        "fees": "Ad network revenue share; payment processing on subscriptions",
        "tools": "AI coding subscription, web hosting, a map or game library, a leaderboard store (e.g., Redis), Stripe"
      },
      "time": {
        "min_hours_week": 5,
        "flexibility": "async",
        "first_dollar_days": [
          14,
          120
        ],
        "ramp": "Weeks to learn whether players share; ads only pay at scale"
      },
      "profile": {
        "risk": 4,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 1,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 3
      },
      "ai_outlook": {
        "trend": "rising_competition",
        "note": "AI makes building trivial, so the share mechanic and niche taste are the moat."
      },
      "pros": [
        "Weekend-sized build",
        "Built-in virality through shared scores",
        "A daily habit brings players back"
      ],
      "cons": [
        "Hit-driven: most games never spread",
        "Ad income needs very large traffic",
        "Easy to copy"
      ],
      "red_flags": [
        "Programmatic ad income swings with traffic spikes"
      ],
      "trust_signals": [],
      "steps": [
        "Play the games your niche already loves and note what makes people share",
        "Block one uninterrupted day to build the first version",
        "Launch to friends first and watch whether they share without being asked",
        "Invite niche personalities to 'host' a day's questions; they share it with their audience"
      ],
      "tips": [
        "Web first: no install means people can play straight from a post or a group chat",
        "If the game needs a tutorial, simplify it"
      ],
      "examples": [
        "GeoSports / Geo Games: daily sports-geography game, ~$40k/month (self-reported)",
        "Arpeggia: niche game, >$100k/year from a few hundred active users (self-reported)"
      ],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "GeoSports metrics (self-reported, dashboards shown)",
          "value": "~$40k/month; ~700k monthly active users; ~$1,200/day programmatic ads; ~1,800 pro subscribers; 53% of daily players share their score",
          "sources": [
            "ss-t-geosports"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Build and launch",
          "value": "Built in a weekend by a non-technical founder with Claude; >1M unique players in under a month; ~98% of traffic from word of mouth",
          "sources": [
            "ss-t-geosports",
            "ss-s-40k-weekend-game"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Small-audience game",
          "value": "A niche game (Arpeggia) reportedly generates over $100k a year from a few hundred active users",
          "sources": [
            "ss-s-arpeggia"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "ss-t-geosports",
        "ss-s-arpeggia",
        "ss-s-13k-game-stack",
        "ss-s-40k-weekend-game"
      ],
      "related": [
        "ai_mobile_app",
        "micro_saas",
        "topic_media_page"
      ],
      "leads_to": [],
      "comes_from": [
        "clipping",
        "productized_micro_services"
      ],
      "landscape": {
        "cases_total": 2,
        "cases_12m": 2,
        "latest_case": "2026",
        "median_claim_monthly_usd": 40000,
        "claims_with_dashboard": 1,
        "evidence": "some"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 2500.0,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2027-01-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 3,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 4
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "dataannotation",
      "name": "DataAnnotation (Surge AI)",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://www.dataannotation.tech",
      "status": {
        "state": "active_turbulent",
        "note": "2026 community posts dominated by empty queues and requalification.",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 30,
      "one_liner": "Pick-your-own-hours AI tasks with fast PayPal withdrawals; one unpaid entry assessment decides whether you get work.",
      "description": "Run by Surge AI. After a single Starter Assessment (no retakes, no feedback), accepted workers see projects in a dashboard and log time. Coding, STEM and professional tracks pay more. Known for reliable payment but long dry spells.",
      "how_it_works": [
        "Apply and take the Starter Assessment (unpaid, one attempt, no feedback)",
        "If accepted, projects appear in your dashboard and you pick what to work on",
        "Log time per task; the rate is set per project (coding/STEM tracks pay more)",
        "Approved work becomes withdrawable to PayPal (approval takes about 7 days)"
      ],
      "who_its_for": [
        "recent_grad",
        "professional",
        "developer",
        "student",
        "multilingual"
      ],
      "skills": [
        "writing",
        "editing",
        "research",
        "critical_thinking",
        "coding",
        "math",
        "languages"
      ],
      "domains": [
        "RLHF",
        "coding",
        "STEM",
        "languages"
      ],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "bachelor's or equivalent experience (reported)",
        "experience": "",
        "credentials": [],
        "technical": 1,
        "equipment": [
          "computer"
        ],
        "kyc": true,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "US, Canada, UK, Ireland, Australia, New Zealand (reported; not published)",
        "excluded": [],
        "work_auth": "",
        "note": "Others can register to be notified."
      },
      "geo": {
        "scope": "allowlist",
        "countries": [
          "US",
          "CA",
          "GB",
          "IE",
          "AU",
          "NZ"
        ],
        "excluded": [],
        "requires_work_auth": null,
        "note": "reported, not published"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": true,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly",
        "advertised": [
          20,
          150,
          "hour",
          "USD"
        ],
        "realistic": [
          14,
          45,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          14,
          45
        ],
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 2,
        "note": "Base ~$20/h, coding ~$40+/h; contributor-reported generalist effective $14–20/h."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "none",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "fully async",
        "first_dollar_days": [
          3,
          30
        ],
        "ramp": "1–2 h unpaid Starter Assessment; decision can take days to weeks"
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Pays reliably; withdraw on demand via PayPal",
        "No meetings, no monitoring app",
        "Higher tracks for coders and STEM"
      ],
      "cons": [
        "One attempt only, no feedback",
        "Dry spells of weeks",
        "PayPal only"
      ],
      "red_flags": [],
      "trust_signals": [
        "Operated by Surge AI (reported $1.2B revenue in 2024)"
      ],
      "steps": [
        "Take the Starter Assessment when rested; write carefully and cite reasoning",
        "If accepted, do qualification tasks quickly — they unlock paid projects"
      ],
      "tips": [
        "Write assessment answers like a careful editor: explain why, check facts, follow the format exactly",
        "There's no retake; don't open a second account (terms violation, ban risk)",
        "Expect dry spells; treat it as one income stream among several"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Advertised pay",
          "value": "$20/h base, $40+/h coding; listings $25–150",
          "sources": [
            "aitrainer-da",
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Effective pay (self-reported)",
          "value": "$14–20/h generalist",
          "sources": [
            "airankings-da"
          ],
          "as_of": "2026-08-17",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Countries",
          "value": "US, UK, Canada, Australia, NZ, Ireland (reported)",
          "sources": [
            "aitrainer-da",
            "airankings-da"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Payment",
          "value": "PayPal; tasks approved ~7 days after submission",
          "sources": [
            "airankings-da"
          ],
          "as_of": "2026-10-13",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Community signal (Reddit, July 2026)",
          "value": "718 posts; top tags empty queue (163), work drought (119)",
          "sources": [
            "breakeven-july"
          ],
          "as_of": "2026-08-09",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Operator size",
          "value": "Surge AI reportedly made $1.2B revenue in 2024 (Forbes, via The AI Rankings)",
          "sources": [
            "airankings-da"
          ],
          "as_of": "2026-08-17",
          "confidence": "C",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-da",
        "aitrainer-dataset",
        "airankings-da",
        "breakeven-july",
        "breakeven-tier"
      ],
      "related": [
        "outlier",
        "alignerr"
      ],
      "leads_to": [
        {
          "id": "vertical_agent_service",
          "why": "Writing careful rubrics and test cases is how you build the 50-example eval set an agent business needs.",
          "curated": true
        },
        {
          "id": "niche_data_refinery",
          "why": "Uses the same skills: research, coding.",
          "curated": false
        },
        {
          "id": "fde_career",
          "why": "Uses the same skills: coding.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 29.5,
        "monthly_mid": null,
        "first_dollar_min_days": 3,
        "startup_min": 0,
        "needs_review_by": "2026-11-12",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 6,
        "monthly_at_10h": [
          602,
          1935
        ],
        "source_tiers": {
          "T3": 3,
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "digital_products",
      "name": "Sell digital products (templates, guides, prompts, mini-courses)",
      "kind": "platform",
      "category": "digital_products",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-14",
      "review_every_days": 180,
      "one_liner": "Package what you know into a file people pay for; choose a merchant-of-record storefront so EU VAT is handled for you.",
      "description": "Package what you know into templates, guides, prompt packs or mini-courses and sell them through a storefront. For EU sellers, merchant-of-record platforms handle VAT. Fees range from ~3% plus processing (Whop) to ~13% (Gumroad direct), or 30% through Gumroad Discover.",
      "how_it_works": [
        "Pick a problem you've solved repeatedly",
        "Build the smallest useful product",
        "Sell through a merchant-of-record storefront",
        "Launch to an audience and iterate on feedback"
      ],
      "who_its_for": [
        "creator",
        "professional",
        "teacher",
        "creative",
        "marketer"
      ],
      "skills": [
        "writing",
        "design",
        "teaching",
        "content_creation",
        "no_code"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "unknown",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "product sales",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          3000
        ],
        "ceiling": "high",
        "stability": 2,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          200
        ],
        "fees": "Gumroad 10% + $0.50 + card/PayPal processing (~13% effective), Discover 30%; Lemon Squeezy 5% + $0.50 incl. processing (+1.5% intl, +1.5% PayPal, +0.5% subscriptions; MoR); Whop 3% + processing (third-party figure)",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          14,
          180
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 2,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 2
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Near-zero marginal cost",
        "Can be built in days"
      ],
      "cons": [
        "Hard to sell without an audience",
        "Easy to copy"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Validate with a pre-sale or waitlist",
        "Price for the outcome, not the page count"
      ],
      "tips": [
        "EU sellers: a merchant of record (Gumroad, Lemon Squeezy, Paddle) files VAT on your behalf",
        "Distribution beats product: launch to an existing audience or community"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Storefront fees (official)",
          "value": "Gumroad: 10% + $0.50 per direct sale (card/PayPal processing not included), 30% via Discover, merchant of record. Lemon Squeezy: 5% + $0.50 incl. processing, +1.5% international, +1.5% PayPal, +0.5% subscriptions; covers taxes",
          "sources": [
            "gumroad-pricing",
            "gumroad-help-fees",
            "lemonsqueezy-fees"
          ],
          "as_of": "2026-10-14",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Whop fees and effective Gumroad cost (third party)",
          "value": "Whop 3% + processing (2.7% + $0.30); Gumroad ~13% effective once processing is added",
          "sources": [
            "fungies-fees"
          ],
          "as_of": "2026-04-30",
          "confidence": "D",
          "kind": "reported",
          "note": "Published by a competing platform"
        }
      ],
      "sources": [
        "fungies-fees",
        "rosetta-starterstory",
        "gumroad-pricing",
        "gumroad-help-fees",
        "lemonsqueezy-fees"
      ],
      "related": [
        "newsletter",
        "micro_saas"
      ],
      "leads_to": [],
      "comes_from": [
        "contra",
        "italki"
      ],
      "landscape": {
        "cases_total": 1,
        "cases_12m": 1,
        "latest_case": "2026-02-01",
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "thin"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 1500.0,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2027-04-12",
        "days_since_verified": 3,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T5": 1,
          "T4": 1,
          "T1": 3
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "elevenlabs_voice",
      "name": "ElevenLabs Voice Marketplace",
      "kind": "platform",
      "category": "licensing_likeness",
      "rung": 4,
      "url": "https://elevenlabs.io/voice-library",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "A",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "Clone your voice once (Professional Voice Clone) and earn royalties whenever people use it; creators have earned $22M+ in total.",
      "description": "You record high-quality samples, create a Professional Voice Clone, set licensing terms (allowed uses, price tier, notice period up to two years) and publish it to the Voice Library after a safety review. Earnings depend on usage — most voices earn little, a few earn a lot.",
      "how_it_works": [
        "Record clean samples (quiet room, good microphone, one consistent style)",
        "Create a Professional Voice Clone and verify that it's your voice",
        "Set allowed uses, price tier and notice period (up to 2 years)",
        "Publish to the Voice Library after a safety review; earn when people use your voice"
      ],
      "who_its_for": [
        "actor_model",
        "creative",
        "creator",
        "multilingual",
        "teacher"
      ],
      "skills": [
        "voice",
        "acting",
        "audio",
        "languages"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [
          "good microphone",
          "quiet room"
        ],
        "kyc": true,
        "age": 18,
        "other": "Voice verification; safety/policy review"
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "limited",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": "Payout-provider countries"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "royalty per usage",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          1000
        ],
        "ceiling": "medium",
        "stability": 2,
        "note": "Platform total >$22M across 10,400+ creators (≈$2k average lifetime, highly skewed)."
      },
      "costs": {
        "startup": [
          0,
          300
        ],
        "fees": "",
        "tools": "Mic + paid plan may be needed to create a PVC (verify)"
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "one-time setup, passive afterwards",
        "first_dollar_days": [
          14,
          90
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 2
      },
      "ai_outlook": {
        "trend": "rising",
        "note": ""
      },
      "pros": [
        "Passive after setup",
        "You control use cases and can set notice periods"
      ],
      "cons": [
        "Income is unpredictable",
        "Your voice may be used in content you dislike within allowed categories"
      ],
      "red_flags": [],
      "trust_signals": [
        "Platform-reported payouts: >$22M to 10,400+ creators"
      ],
      "steps": [
        "Follow ElevenLabs' current recording guide; recording quality decides everything",
        "Pick a distinctive niche (language, accent, age, tone)",
        "Point creators who need that kind of voice to your listing"
      ],
      "tips": [
        "Distinct, well-recorded voices in under-served languages/accents stand out",
        "Restrict sensitive use cases if you work in advertising/acting (conflicts with union or agency contracts)"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Total paid to voice creators",
          "value": ">$22M (doubled from $11M in Nov 2025); 10,400+ creators",
          "sources": [
            "elevenlabs-22m"
          ],
          "as_of": "2026-10-14",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Creator controls",
          "value": "Allowed use cases, price tier, notice period up to 2 years; safety review before going live",
          "sources": [
            "elevenlabs-22m"
          ],
          "as_of": "2026-10-13",
          "confidence": "A",
          "kind": "official",
          "note": ""
        }
      ],
      "sources": [
        "elevenlabs-22m"
      ],
      "related": [
        "synthesia_actor",
        "footage_licensing"
      ],
      "leads_to": [],
      "comes_from": [
        "alignerr",
        "synthesia_actor"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 500.0,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T1": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "ethos",
      "name": "Ethos",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://www.ethos.ai",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 45,
      "one_liner": "London-based AI expert network (a16z-backed): one voice interview builds your profile; matched to expert calls, surveys and AI-data work.",
      "description": "London-based expert network backed by a16z ($22.75M Series A, May 2026). One AI voice interview builds your expert profile, which is then matched to paid expert calls, surveys and AI-data projects.",
      "how_it_works": [
        "Sign up and complete one AI voice interview about your experience",
        "Ethos builds your profile and matches you to engagements",
        "Accept calls, surveys or AI projects that fit your availability"
      ],
      "who_its_for": [
        "senior_professional",
        "professional",
        "lawyer",
        "engineer"
      ],
      "skills": [
        "consulting",
        "finance",
        "accounting",
        "law",
        "business_strategy",
        "engineering",
        "medicine",
        "product",
        "sales",
        "domain_expertise"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "professional experience",
        "experience": "mid to senior",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "unknown",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly / per engagement",
        "advertised": null,
        "realistic": [
          60,
          225,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          60,
          225
        ],
        "monthly_potential": null,
        "ceiling": "high",
        "stability": 2,
        "note": "Median listed $80/h (n=289); company claims earning experts average £4,500/month extra (top 10% > £7,000)."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async + scheduled calls",
        "first_dollar_days": [
          14,
          60
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 4,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 1,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Low-effort onboarding (one interview)",
        "Mix of expert calls and AI work",
        "High median listed pay ($80/h)"
      ],
      "cons": [
        "Engagements are irregular",
        "The company's earnings claim (avg £4,500/month) is self-reported and only covers experts who earn"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Prepare a crisp career story: companies, roles, markets, products",
        "Never share confidential information about current or former employers"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Funding",
          "value": "$22.75M Series A led by a16z (2026-05-06)",
          "sources": [
            "tnw-ethos"
          ],
          "as_of": "2026-10-13",
          "confidence": "A",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Earnings claim",
          "value": "Avg £4,500/month additional income for earning experts; top 10% > £7,000",
          "sources": [
            "tnw-ethos"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Median listed pay",
          "value": "$80/h (n=289)",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "tnw-ethos",
        "aitrainer-dataset"
      ],
      "related": [
        "expert_networks",
        "afterquery",
        "mercor"
      ],
      "leads_to": [
        {
          "id": "expert_networks",
          "why": "Uses the same skills: consulting, finance, accounting.",
          "curated": false
        },
        {
          "id": "ai_rollup_holdco",
          "why": "Uses the same skills: finance, accounting, business strategy.",
          "curated": false
        },
        {
          "id": "ai_tools_assessment",
          "why": "Uses the same skills: consulting, business strategy, sales.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 142.5,
        "monthly_mid": null,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2026-11-27",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 3,
        "monthly_at_10h": [
          2580,
          9675
        ],
        "source_tiers": {
          "T2": 1,
          "T3": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "expert_archive_tool",
      "name": "Expert archive → agent tool (with a creator partner)",
      "kind": "business_model",
      "category": "data_assets",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Turn a creator's or expert's years of videos/newsletters into ONE job-specific tool (e.g., cold-email critique citing their lessons) sold to their audience.",
      "description": "Transcribe, clean and TAG the archive by job, topic, framework and outcome (not just a vector dump). Build one workflow, e.g., 'paste your cold email → critique with the expert's principles, cite lessons, rewrite, score, suggest a test'. Price $19–50/month, bundle in a community, or license to agencies; later per-request. The creator brings distribution.",
      "how_it_works": [
        "Partner with a creator or expert who has a deep archive",
        "Transcribe, clean, and tag it by job, topic, framework and outcome",
        "Build ONE job-specific workflow",
        "Sell to their audience ($19–50/month) or license it to agencies"
      ],
      "who_its_for": [
        "developer",
        "founder",
        "creator"
      ],
      "skills": [
        "coding",
        "product",
        "ai_tools",
        "content_creation",
        "sales",
        "domain_expertise"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "subscriptions / revenue share with creator",
        "advertised": [
          19,
          50,
          "month_per_user",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          20000
        ],
        "ceiling": "high",
        "stability": 3,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 8,
        "flexibility": "async",
        "first_dollar_days": [
          30,
          120
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 3,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "The partner brings distribution",
        "Proprietary content is the moat"
      ],
      "cons": [
        "Depends on the partner relationship",
        "Needs clear rights and revenue-share terms"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Pitch one creator with a working demo built on a small sample of their content",
        "Agree the revenue share in writing"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pricing",
          "value": "$19–50/month; bundles; licensing",
          "sources": [
            "gi-cloudflare"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-cloudflare",
        "gi-write-with-ai"
      ],
      "related": [
        "niche_data_refinery",
        "content_engine_service"
      ],
      "leads_to": [],
      "comes_from": [
        "afterquery",
        "ai_workshops",
        "expert_networks",
        "micro1",
        "productized_micro_services",
        "vertical_agent_service"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 10000.0,
        "first_dollar_min_days": 30,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "expert_networks",
      "name": "Expert networks (GLG, AlphaSights, Guidepoint, Third Bridge, Arbolus …)",
      "kind": "platform",
      "category": "expert_networks",
      "rung": 2,
      "url": "https://glg.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Paid 30–60 min calls and surveys for investors and consultants who need your industry knowledge; senior niche expertise earns $300–1,000+/h.",
      "description": "Register with several networks, keep your profile (employers, roles, topics) precise, and accept projects that match. Compliance rules forbid sharing confidential information from current employers.",
      "how_it_works": [],
      "who_its_for": [
        "senior_professional",
        "professional",
        "clinician",
        "engineer",
        "lawyer",
        "retiree"
      ],
      "skills": [
        "business_strategy",
        "finance",
        "accounting",
        "medicine",
        "engineering",
        "law",
        "sales",
        "operations",
        "consulting",
        "product",
        "analysis",
        "domain_expertise"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none formal; experience is what counts",
        "experience": "usually 5+ years in a niche",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": "Compliance training; no confidential info"
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": true
      },
      "earnings": {
        "model": "per consultation (hourly rate you propose/negotiate)",
        "advertised": [
          100,
          1000,
          "hour",
          "USD"
        ],
        "realistic": [
          100,
          400,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          100,
          400
        ],
        "monthly_potential": null,
        "ceiling": "high",
        "stability": 1,
        "note": "Standard calls $100–300/h; senior/specialised $300–800; elite $800–1,000+; surveys $40–150."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "scheduled calls, sporadic",
        "first_dollar_days": [
          7,
          120
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 4,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 3,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Best hourly rate for experienced people",
        "No ongoing commitment"
      ],
      "cons": [
        "Irregular requests",
        "Current employees may be restricted by employer policy"
      ],
      "red_flags": [
        "Never share material non-public information; compliance checks exist for a reason"
      ],
      "trust_signals": [
        "Large established firms (GLG, AlphaSights, Guidepoint, Third Bridge)"
      ],
      "steps": [
        "Register on 3–5 networks (GLG, AlphaSights, Guidepoint, Third Bridge, Arbolus, Ethos)",
        "List specific companies, products and markets you know",
        "Set a rate and raise it after good feedback"
      ],
      "tips": [
        "Precise beats prestigious: list exact companies, products, regions and years",
        "Set your rate the way a professional would bill; networks expect to negotiate",
        "Decline calls that touch your current employer's confidential matters"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Rate bands",
          "value": "Standard $100–300/h; senior $300–800/h; elite $800–1,000+/h; surveys $40–150",
          "sources": [
            "arbolus-rates"
          ],
          "as_of": "2026-08-13",
          "confidence": "D",
          "kind": "claim",
          "note": "Published by an expert network (vendor)"
        },
        {
          "claim": "Practitioner view",
          "value": "Expert networks pay from about $100 to well over $1,000 per hour; no official cap at GLG",
          "sources": [
            "expertopp-rates"
          ],
          "as_of": "2023-09-22",
          "confidence": "C",
          "kind": "community",
          "note": "Practitioner with 200+ expert calls; older page"
        }
      ],
      "sources": [
        "arbolus-rates",
        "tnw-ethos",
        "chatgpt-dr-3",
        "expertopp-rates"
      ],
      "related": [
        "ethos",
        "afterquery"
      ],
      "leads_to": [
        {
          "id": "expert_archive_tool",
          "why": "The knowledge investors pay for by the hour can become a product that sells while you sleep.",
          "curated": true
        },
        {
          "id": "micro_acquisitions",
          "why": "Deep industry knowledge is the best diligence tool when buying a small business in that industry.",
          "curated": true
        },
        {
          "id": "ai_rollup_holdco",
          "why": "Uses the same skills: business strategy, finance, accounting.",
          "curated": false
        }
      ],
      "comes_from": [
        "afterquery",
        "alignerr",
        "ethos",
        "handshake_ai",
        "mercor",
        "micro1"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 250.0,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": [
          4300,
          17200
        ],
        "source_tiers": {
          "T5": 2,
          "T2": 1,
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "fde_career",
      "name": "Forward-deployed engineer (FDE)",
      "kind": "career_path",
      "category": "ai_careers",
      "rung": 2,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "Embed with a company, map how work really happens, and ship agents inside their systems of record — the hottest AI role of 2026 ($150–288k base in the US).",
      "description": "Three skills in one: business reality (interviews, process mining, exceptions, politics), engineering (production code, audit trails, failure handling) and AI judgment (which steps to delete, code, give to agents or keep human; evals; model choice). Sort every step into delete / plain code / agentic / human decision. Build inside Salesforce/NetSuite/Slack — never force a migration. Also available as consulting: start with a paid (or first-time free) audit — call it a 'sprint'.",
      "how_it_works": [
        "Map processes (interviews, process mining, existing docs)",
        "Sort every step: delete / plain code / agentic / human decision",
        "Build inside systems of record, with evals and a shadow mode",
        "Measure against the baseline at 3 and 6 months"
      ],
      "who_its_for": [
        "developer",
        "engineer",
        "consultant",
        "career_changer"
      ],
      "skills": [
        "software_engineering",
        "coding",
        "consulting",
        "operations",
        "analysis",
        "ai_tools",
        "automation",
        "public_speaking"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "CS degree not required, but production coding is",
        "experience": "2+ years engineering or consulting typical",
        "credentials": [],
        "technical": 3,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "Concentrated in SF/NYC (83% of tracked roles); remote and EU roles exist",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "limited",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": "Concentrated in SF/NYC; remote/EU roles exist"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": true
      },
      "earnings": {
        "model": "salary + equity (or consulting)",
        "advertised": [
          150000,
          288000,
          "year_base",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": [
          75,
          200
        ],
        "monthly_potential": [
          8000,
          25000
        ],
        "ceiling": "very_high",
        "stability": 4,
        "note": "AI-lab total comp $350–550k mid/senior; claims of $1M/yr exist but are outliers."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 40,
        "flexibility": "full-time, often on-site",
        "first_dollar_days": [
          30,
          120
        ],
        "ramp": "30-day self-study plan: week 1 agent with tools/guardrails/memory/audit trail; week 2 schemas + failure modes; week 3 evals + cost; week 4 defend it like a VP and pitch SMBs"
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 5,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 3,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Among the best-paid AI roles in 2026 recruiting data",
        "Close to business value",
        "Also works as consulting"
      ],
      "cons": [
        "Requires both coding and business skills",
        "Roles concentrated in SF/NYC and often on-site"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Follow a 30-day plan: a real back-office agent with an audit trail → failure handling → evals and cost → defend it",
        "Offer one workflow to an SMB (free if needed) as your first case study"
      ],
      "tips": [
        "Start with one model and one agent platform; benchmark others later"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Demand",
          "value": "Postings +1,165% YoY (Bloomberry, 1,000 jobs); +350% YoY on Paraform (Q1'25→Q1'26)",
          "sources": [
            "paraform-fde"
          ],
          "as_of": "2026-04-22",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Compensation",
          "value": "Base $150–217k (mid $183k); founding up to $266k; staff up to $288k; AI-lab total comp $350–550k",
          "sources": [
            "paraform-fde"
          ],
          "as_of": "2026-04-22",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Method",
          "value": "Interviews + process mining + docs → bucket steps (delete/code/agent/human) → build in systems of record → evals → shadow mode → autonomy",
          "sources": [
            "gi-fde-course",
            "gi-fde-explained"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "paraform-fde",
        "gi-fde-course",
        "gi-fde-explained"
      ],
      "related": [
        "ai_automation_builds",
        "vertical_agent_service",
        "marketing_engineer_career"
      ],
      "leads_to": [
        {
          "id": "vertical_agent_service",
          "why": "Deployment experience inside companies is exactly what an agent business sells.",
          "curated": true
        },
        {
          "id": "ai_automation_builds",
          "why": "Uses the same skills: coding, operations, ai tools.",
          "curated": false
        },
        {
          "id": "agent_conversion_agency",
          "why": "Uses the same skills: software engineering, coding, ai tools.",
          "curated": false
        }
      ],
      "comes_from": [
        "dataannotation",
        "invisible_meridial",
        "mindrift",
        "outlier",
        "sme_careers",
        "turing"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 137.5,
        "monthly_mid": 16500.0,
        "first_dollar_min_days": 30,
        "startup_min": 0,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 3,
        "monthly_at_10h": [
          3225,
          8600
        ],
        "source_tiers": {
          "T3": 1,
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "fiverr",
      "name": "Fiverr",
      "kind": "platform",
      "category": "freelance_marketplaces",
      "rung": 2,
      "url": "https://www.fiverr.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "Productized 'gig' marketplace: buyers come to you, but Fiverr keeps 20% of every order.",
      "description": "Fiverr is a gig marketplace: you list fixed-price packages (basic/standard/premium) and buyers find you through search. Fiverr keeps 20% of every order, so price your packages with that in mind.",
      "how_it_works": [
        "Create gigs with three packages and clear deliverables",
        "Buyers order and you deliver inside Fiverr",
        "Funds clear after a 14-day period (shorter for Top Rated, Seller Plus and Pro), then you withdraw"
      ],
      "who_its_for": [
        "freelancer",
        "creative",
        "early_career",
        "multilingual"
      ],
      "skills": [
        "design",
        "video_editing",
        "voice",
        "copywriting",
        "translation",
        "social_media",
        "no_code",
        "ai_tools"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [
          "CU",
          "IR",
          "KP",
          "SY"
        ],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "fixed-price gigs",
        "advertised": null,
        "realistic": [
          10,
          100,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          10,
          100
        ],
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 3,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "20% seller commission on every order (ToS)",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          60
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 1,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Buyers come to you through marketplace search",
        "Productized offers are easy to repeat"
      ],
      "cons": [
        "20% commission on every order",
        "New sellers struggle to rank without reviews"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Pick one narrow, searchable service (e.g., 'Shopify product video', 'n8n automation')",
        "Write the gig title for search and show the result in the thumbnail",
        "Use the basic package as a low-risk entry point",
        "Ask satisfied buyers for reviews"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Seller commission",
          "value": "Freelancers receive 80% of the client's cleared payment (20% fee)",
          "sources": [
            "fiverr-help-freelancers",
            "fiverr-tos-20"
          ],
          "as_of": "2026-10-13",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Clearing period",
          "value": "14 days before funds can be withdrawn; shorter for Top Rated, Seller Plus and Fiverr Pro",
          "sources": [
            "fiverr-help-freelancers"
          ],
          "as_of": "2026-10-14",
          "confidence": "A",
          "kind": "official",
          "note": ""
        }
      ],
      "sources": [
        "fiverr-tos-20",
        "chatgpt-dr-3",
        "fiverr-help-freelancers"
      ],
      "related": [
        "upwork",
        "ugc_creator"
      ],
      "leads_to": [
        {
          "id": "ai_native_service_firm",
          "why": "A gig that sells repeatedly is a deliverable you can pipeline with AI and sell at volume.",
          "curated": true
        },
        {
          "id": "ai_mobile_app",
          "why": "Uses the same skills: design, social media, no code.",
          "curated": false
        },
        {
          "id": "productized_micro_services",
          "why": "Uses the same skills: design, video editing, ai tools.",
          "curated": false
        }
      ],
      "comes_from": [
        "rws_trainai"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 55.0,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": [
          430,
          4300
        ],
        "source_tiers": {
          "T3": 1,
          "T5": 1,
          "T1": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "footage_licensing",
      "name": "License unused video footage to AI companies",
      "kind": "platform",
      "category": "licensing_likeness",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Brokers (e.g., Troveo, Calliope Networks) buy raw or unpublished footage for model training at ~$1–4 per minute.",
      "description": "AI companies buy large volumes of video to train models. Brokers such as Troveo and Calliope Networks license creators' unused or unpublished footage, typically at $1–4 per minute, with premiums for 4K, drone and 3D footage.",
      "how_it_works": [
        "Inventory your raw footage (hours, resolution, subjects)",
        "Apply to a broker, who checks rights and quality",
        "Sign a licence (exclusivity, likeness, usage limits)",
        "Upload and get paid per accepted minute"
      ],
      "who_its_for": [
        "creator",
        "creative",
        "actor_model"
      ],
      "skills": [
        "video",
        "photography",
        "content_creation"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per minute of footage",
        "advertised": [
          1,
          4,
          "footage_minute",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          5000
        ],
        "ceiling": "medium",
        "stability": 1,
        "note": "Regular content ~$1–2/min; 4K, drone and 3D higher. One creator earned $33k in a year from ~1,000 hours of footage."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "one-off deals",
        "first_dollar_days": [
          30,
          120
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Monetizes footage that otherwise earns nothing",
        "One-off and passive"
      ],
      "cons": [
        "Rights must be clean (music, faces, locations)",
        "Per-minute rates are low for regular footage"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Start with B-roll you own outright"
      ],
      "tips": [
        "Check exclusivity and likeness clauses (no digital doubles)",
        "Only license footage you fully own (no third-party music, faces without releases)"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Rates",
          "value": "$1–4 per minute; brokers Troveo, Calliope Networks",
          "sources": [
            "decoder-footage"
          ],
          "as_of": "2026-10-13",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Earnings examples",
          "value": "Troveo paid a handful of creators >$1M each; Peter Hollens ~$33k/yr for ~1,000 hours",
          "sources": [
            "semafor-footage"
          ],
          "as_of": "2025-10-31",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "decoder-footage",
        "semafor-footage"
      ],
      "related": [
        "elevenlabs_voice",
        "youtube_partner"
      ],
      "leads_to": [],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 2500.0,
        "first_dollar_min_days": 30,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T2": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "handshake_ai",
      "name": "Handshake AI Fellowship",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://joinhandshake.com",
      "status": {
        "state": "active_turbulent",
        "note": "Community payment complaints, and a proposed class action (July 2026) alleging misclassification that is still pending.",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 30,
      "one_liner": "AI training projects for US-based students, grads and PhDs via the Handshake careers network.",
      "description": "Handshake recruits students and recent graduates (and some professionals) into paid AI projects. Rates are shown per project. US work authorization required. A proposed class action filed in July 2026 alleges that fellows were misclassified as contractors; the claims haven't been decided.",
      "how_it_works": [
        "Create or complete your Handshake profile (US students, grads, PhDs)",
        "Apply to an AI Fellowship project in your field",
        "Pass identity verification, background check and onboarding",
        "Work async within the project's hour caps; weekly pay via Stripe (reported)"
      ],
      "who_its_for": [
        "student",
        "recent_grad",
        "phd_academic"
      ],
      "skills": [
        "writing",
        "research",
        "math",
        "coding",
        "finance",
        "medicine",
        "engineering",
        "architecture_cad"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "current students, graduates, PhD candidates",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": true,
        "age": 18,
        "other": "Identity verification + background check"
      },
      "availability": {
        "regions": "US only",
        "excluded": [],
        "work_auth": "Valid US work authorization (F-1 CPT/OPT; STEM OPT excluded per reports)",
        "note": ""
      },
      "geo": {
        "scope": "allowlist",
        "countries": [
          "US"
        ],
        "excluded": [],
        "requires_work_auth": "US",
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": true,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly",
        "advertised": [
          40,
          125,
          "hour",
          "USD"
        ],
        "realistic": [
          30,
          125,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          30,
          125
        ],
        "monthly_potential": null,
        "ceiling": "high",
        "stability": 2,
        "note": "Median listed $80/h (n=210); physician/psychiatrist listings $200+/h."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async; some weekly hour caps",
        "first_dollar_days": [
          14,
          45
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "High hourly rates for students and PhDs",
        "Field-specific projects (STEM, finance, medicine, CAD)",
        "Weekly pay (reported)"
      ],
      "cons": [
        "US only, with work-authorization limits",
        "Unpaid onboarding and hour caps alleged in a 2026 lawsuit",
        "Project availability varies by field"
      ],
      "red_flags": [
        "Proposed class action (filed 2026-07-20, N.D. Cal.) alleging misclassification, unpaid onboarding and hour caps; allegations only, not decided"
      ],
      "trust_signals": [],
      "steps": [
        "Check eligibility: US-based with valid work authorization (STEM OPT reportedly excluded)",
        "Complete your profile with degree, field and relevant coursework",
        "Apply to fellowships in your strongest field",
        "Track your onboarding time; it may be unpaid"
      ],
      "tips": [
        "International students: confirm CPT/OPT rules with your school's international office before starting"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Eligibility",
          "value": "US-based bachelor's, master's and doctoral students/graduates with work authorization",
          "sources": [
            "handshake-support"
          ],
          "as_of": "2026-10-17",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Pay",
          "value": "$40–125/h stated; median $80/h; weekly via Stripe",
          "sources": [
            "aitrainer-handshake",
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-01",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Lawsuit",
          "value": "Proposed class action filed 2026-07-20 alleging misclassification (pending; allegations not proven)",
          "sources": [
            "aitrainer-handshake"
          ],
          "as_of": "2026-10-01",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "handshake-support",
        "aitrainer-handshake",
        "aitrainer-dataset",
        "breakeven-july"
      ],
      "related": [
        "mercor",
        "outlier"
      ],
      "leads_to": [
        {
          "id": "micro_saas",
          "why": "Students with AI-training income can fund and test a small product on the side.",
          "curated": true
        },
        {
          "id": "expert_networks",
          "why": "Uses the same skills: finance, medicine, engineering.",
          "curated": false
        },
        {
          "id": "niche_data_refinery",
          "why": "Uses the same skills: research, coding.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 77.5,
        "monthly_mid": null,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2026-11-12",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 3,
        "monthly_at_10h": [
          1290,
          5375
        ],
        "source_tiers": {
          "T1": 1,
          "T3": 2,
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "invisible_meridial",
      "name": "Meridial (Invisible Technologies)",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://www.meridial.ai",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "partially_verified",
      "last_verified": "2026-10-13",
      "review_every_days": 45,
      "one_liner": "Invisible's contributor brand for RLHF/SFT and expert work; many listings, very low median listed rate in Oct 2026.",
      "description": "Meridial is Invisible Technologies' contributor brand for RLHF, SFT and expert projects. In October 2026 it had the most tracked listings (489) but a median listed rate of only $8/h, so pay varies enormously between listings.",
      "how_it_works": [],
      "who_its_for": [
        "professional",
        "multilingual"
      ],
      "skills": [
        "writing",
        "languages",
        "research",
        "coding"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "unknown",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "project-based / hourly",
        "advertised": null,
        "realistic": [
          8,
          50,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          8,
          50
        ],
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 2,
        "note": "Median listed $8/h across 489 listings (Oct 2026) — check each listing's rate."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "varies by project",
        "first_dollar_days": [
          14,
          45
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Large number of open roles"
      ],
      "cons": [
        "Very low median listed rate",
        "Paid every two weeks"
      ],
      "red_flags": [
        "ChatGPT research claimed it was 'founded by Sam Altman' — false; verify claims about this company"
      ],
      "trust_signals": [],
      "steps": [
        "Filter listings by rate and skip anything below your floor",
        "Check company claims against official pages"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Listings & pay",
          "value": "489 roles, median $8/h, paid every two weeks",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-dataset",
        "chatgpt-dr-1"
      ],
      "related": [
        "outlier",
        "mindrift"
      ],
      "leads_to": [
        {
          "id": "niche_data_refinery",
          "why": "Uses the same skills: research, coding.",
          "curated": false
        },
        {
          "id": "fde_career",
          "why": "Uses the same skills: coding.",
          "curated": false
        },
        {
          "id": "ai_automation_specialist_job",
          "why": "Uses the same skills: coding.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 29.0,
        "monthly_mid": null,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2026-11-27",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": [
          344,
          2150
        ],
        "source_tiers": {
          "T3": 1,
          "T5": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "italki",
      "name": "italki",
      "kind": "platform",
      "category": "teaching",
      "rung": 2,
      "url": "https://www.italki.com",
      "status": {
        "state": "needs_verification",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "seeded_needs_verification",
      "last_verified": "2026-10-13",
      "review_every_days": 90,
      "one_liner": "Language marketplace with community tutors and professional teachers; flat commission, no tiers.",
      "description": "italki connects language learners with community tutors and professional teachers. Its commission is reported to be flat (~15–21%), which could be cheaper than tiered models at the start. This still needs verification.",
      "how_it_works": [],
      "who_its_for": [
        "teacher",
        "multilingual"
      ],
      "skills": [
        "teaching",
        "languages",
        "tutoring"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": true
      },
      "earnings": {
        "model": "per lesson",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": [
          8,
          35
        ],
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 3,
        "note": "Commission reported ~15–21% (needs verification)."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "scheduled lessons",
        "first_dollar_days": [
          7,
          45
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 2,
        "people_facing": 3,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "No commission tiers to climb (reported)"
      ],
      "cons": [
        "Commission and earnings not yet verified"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Decide between 'community tutor' and 'professional teacher' (teaching credentials required)"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [],
      "sources": [
        "pensight-preply"
      ],
      "related": [
        "preply"
      ],
      "leads_to": [
        {
          "id": "digital_products",
          "why": "Turn the lessons you repeat into a course or workbook.",
          "curated": true
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 21.5,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-01-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 0,
        "monthly_at_10h": [
          344,
          1505
        ],
        "source_tiers": {
          "T5": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "local_business_software",
      "name": "Software for local service businesses, sold in person",
      "kind": "business_model",
      "category": "software_apps",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "A simple tool that wins local businesses more jobs (online booking widget, missed-call text-back), sold door to door with a tablet demo.",
      "description": "Trades, mechanics, salons and clinics lose jobs because customers can't book or get an answer outside opening hours. A small embed or automation that fixes one money problem is easy to explain in person and easy to prove. The 2026 example Avenue (a booking widget for trades and mechanics, also listed on Google Business profiles) grew to about AUD 85k a month by walking into shops with an iPad and a printed brochure, then used the small customers as proof to land bigger ones. Sell before you build: if a shop owner asks 'how much?', you have something.",
      "how_it_works": [
        "Walk into local businesses and find one money leak (missed calls, no online booking)",
        "Build a simple tool that plugs into what they already use (website, Google profile, SMS)",
        "Demo it on a tablet in person and leave a printed one-pager",
        "Charge monthly; use early customers as proof for bigger ones"
      ],
      "who_its_for": [
        "founder",
        "sales_person",
        "developer",
        "freelancer",
        "consultant"
      ],
      "skills": [
        "sales",
        "product",
        "coding",
        "no_code",
        "automation",
        "ai_tools",
        "customer_support",
        "domain_expertise"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 2,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": "Comfort with in-person selling; reliable support for non-technical customers"
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": true
      },
      "earnings": {
        "model": "monthly subscription per business (+ usage such as SMS or AI voice)",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          10000
        ],
        "ceiling": "high",
        "stability": 4,
        "note": "B2B retention is good when the tool pays for itself; usage costs (SMS, AI voice) grow with customers."
      },
      "costs": {
        "startup": [
          100,
          3000
        ],
        "fees": "Payment processing; SMS and AI-voice usage passed through or absorbed",
        "tools": "Hosting, SMS provider, AI voice credits, lead lists, AI coding tools"
      },
      "time": {
        "min_hours_week": 15,
        "flexibility": "scheduled, on site",
        "first_dollar_days": [
          30,
          120
        ],
        "ramp": "Months of in-person selling before word of mouth"
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 3,
        "sales": 3,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 3,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "rising",
        "note": "Local businesses adopt AI slowly; an in-person seller with a working tool has an edge."
      },
      "pros": [
        "Clear return on investment is easy to explain",
        "Sticky monthly revenue",
        "Few competitors are willing to sell in person"
      ],
      "cons": [
        "In-person selling is slow and draining",
        "Support load from non-technical customers",
        "Usage costs (SMS, AI voice) grow with you"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Sell before you build: show a mockup and ask for a price commitment",
        "Visit every kind of local business at first; let the most responsive vertical choose you",
        "Pick one vertical and adapt the product to its words and workflow"
      ],
      "tips": [
        "Trades owners give blunt feedback; use it",
        "Businesses refer each other once a few of them use it"
      ],
      "examples": [
        "Avenue: booking widget for trades and mechanics, ~AUD 85k/month (self-reported)"
      ],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Avenue revenue and growth (self-reported, Stripe shown)",
          "value": "~AUD 85k/month; from ~AUD 597 in one August to ~AUD 63k a year later",
          "sources": [
            "ss-t-avenue"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "How it was sold",
          "value": "Door to door with iPads and printed brochures; small local customers first, which later convinced bigger clients",
          "sources": [
            "ss-t-avenue"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Running costs at scale (self-reported)",
          "value": "SMS ~$4,000/month and AI voice ~$500/month were among the biggest tool costs",
          "sources": [
            "ss-t-avenue"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "ss-t-avenue",
        "ss-s-door-to-door",
        "ss-s-85k-widget"
      ],
      "related": [
        "vertical_agent_service",
        "ai_tools_assessment",
        "micro_saas"
      ],
      "leads_to": [],
      "comes_from": [
        "ai_automation_builds",
        "ai_automation_specialist_job",
        "ai_concierge",
        "ai_tools_assessment",
        "ai_workshops",
        "marketing_agent_service",
        "personal_agent_setup",
        "vertical_agent_service"
      ],
      "landscape": {
        "cases_total": 1,
        "cases_12m": 1,
        "latest_case": "2026",
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 1,
        "evidence": "thin"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 5000.0,
        "first_dollar_min_days": 30,
        "startup_min": 100,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 3,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 3
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "malt",
      "name": "Malt",
      "kind": "platform",
      "category": "freelance_marketplaces",
      "rung": 2,
      "url": "https://www.malt.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-14",
      "review_every_days": 120,
      "one_liner": "Europe's leading freelance marketplace (strong in France, Germany, Spain, Benelux); low 5% freelancer fee, day-rate culture.",
      "description": "Malt is Europe's leading freelance marketplace, strongest in France, Germany, Spain and Benelux. Clients book 'missions' at day rates, and the freelancer fee is 5% (it can start at 10% for some projects in France, Spain and Belgium).",
      "how_it_works": [
        "Create a profile with skills, day rate and references",
        "Clients contact you about missions",
        "Agree a quote; payment runs through Malt"
      ],
      "who_its_for": [
        "freelancer",
        "professional",
        "developer",
        "marketer",
        "consultant"
      ],
      "skills": [
        "software_engineering",
        "data_science",
        "marketing",
        "design",
        "consulting",
        "project_management",
        "product"
      ],
      "domains": [],
      "languages": [
        "fr",
        "de",
        "es",
        "nl",
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "EU-focused (e.g., FR, DE, ES, BE, NL, CH, UK)",
        "excluded": [],
        "work_auth": "",
        "note": "Needs a registered freelance business"
      },
      "geo": {
        "scope": "allowlist",
        "countries": [
          "FR",
          "DE",
          "ES",
          "BE",
          "NL",
          "CH",
          "GB",
          "LU",
          "AT",
          "IT"
        ],
        "excluded": [],
        "requires_work_auth": null,
        "note": "EU-focused; approximate list — verify"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": true
      },
      "earnings": {
        "model": "day rate / project",
        "advertised": null,
        "realistic": [
          300,
          900,
          "day",
          "EUR"
        ],
        "hourly_equiv": [
          40,
          110
        ],
        "monthly_potential": null,
        "ceiling": "high",
        "stability": 4,
        "note": "Day-rate ranges are typical market estimates (needs verification per field)."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "5% excl. VAT (10% initial tier for some FR/ES/BE projects, dropping to 5% after 6 months)",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "client-scheduled missions",
        "first_dollar_days": [
          14,
          90
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 3,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 2,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Low 5% freelancer fee",
        "European clients and a day-rate culture",
        "Good fit for EU-based freelancers"
      ],
      "cons": [
        "Mostly local-language markets",
        "Missions often need scheduled availability"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Write your profile in your clients' language (German for DACH)",
        "Collect recommendations from past clients",
        "Set a realistic day rate and adjust it after your first missions"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Freelancer fee",
          "value": "5% excl. tax; may start at 10% for certain FR/ES/BE projects, dropping to 5% after 6 months",
          "sources": [
            "malt-commission"
          ],
          "as_of": "2026-10-14",
          "confidence": "A",
          "kind": "official",
          "note": ""
        }
      ],
      "sources": [
        "malt-commission"
      ],
      "related": [
        "upwork"
      ],
      "leads_to": [
        {
          "id": "ai_automation_builds",
          "why": "European clients on Malt are the same companies that need AI workflows built.",
          "curated": true
        },
        {
          "id": "micro_saas",
          "why": "Uses the same skills: software engineering, marketing, product.",
          "curated": false
        },
        {
          "id": "vertical_agent_service",
          "why": "Uses the same skills: software engineering, product.",
          "curated": false
        }
      ],
      "comes_from": [
        "turing"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 75.0,
        "monthly_mid": null,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2027-02-11",
        "days_since_verified": 3,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": [
          1720,
          4730
        ],
        "source_tiers": {
          "T1": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "marketing_agent_service",
      "name": "Done-for-you marketing agent systems (signal-based outbound, ad loops, content engines)",
      "kind": "business_model",
      "category": "ai_services",
      "rung": 3,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "Build and run code-based marketing agents for clients: LinkedIn-engagement → enrichment → outbound, Meta-ads creative loops, founder content engines.",
      "description": "Cold email is saturated; signals win. Example 'SDR in a box': scrape engagers of 10–20 niche LinkedIn creators daily (Apify), ICP check with an LLM, waterfall enrichment (GetLeads → Apollo → others), verify emails, send from separate burner domains (~$100/mo infra for ~10k emails + ~$97/mo sending tool), agent handles replies and books calls. Ads loop: research pain points on Reddit → generate statics/UGC → publish via Marketing API (writes only) → kill losers → feed winners back; inject new 'DNA' (competitor ads, transcripts) to avoid sameness.",
      "how_it_works": [
        "Unify data (ads, analytics, CRM, payments) in a warehouse",
        "Write agent job specs with schedules, filters and approval points",
        "Run loops: outbound signals, ad creative tests, content",
        "Report business metrics (qualified replies, demos), not activity"
      ],
      "who_its_for": [
        "marketer",
        "sales_person",
        "developer",
        "freelancer"
      ],
      "skills": [
        "performance_marketing",
        "marketing",
        "sales",
        "automation",
        "coding",
        "copywriting",
        "data_science"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 2,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "retainers",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          2000,
          30000
        ],
        "ceiling": "very_high",
        "stability": 3,
        "note": ""
      },
      "costs": {
        "startup": [
          200,
          1000
        ],
        "fees": "",
        "tools": "Scraping API, enrichment credits, inboxes/domains, sending tool, data warehouse (Airbyte + ClickHouse open source), hosting"
      },
      "time": {
        "min_hours_week": 10,
        "flexibility": "async",
        "first_dollar_days": [
          14,
          60
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 3,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Clients pay agency-level retainers",
        "Measurable outcomes"
      ],
      "cons": [
        "Technical setup and data plumbing",
        "Deliverability problems and platform bans if done carelessly"
      ],
      "red_flags": [
        "EU/GDPR: B2B cold email and scraped contact data are far more restricted than in the US — get legal advice before outbound in Europe",
        "Never let an LLM freely control an ad account; use API writes only with rules"
      ],
      "trust_signals": [],
      "steps": [
        "Start with one engine (e.g., LinkedIn-engagement outbound) for one niche",
        "Run it for your own business first and publish the results"
      ],
      "tips": [
        "Inject fresh inputs (competitor ads, transcripts) so the agent doesn't converge on the same ideas"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Infra costs (US)",
          "value": "~$100/mo inbox infra for ~10k cold emails + ~$97/mo sending software",
          "sources": [
            "gi-marketing-agents-2"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": "Guest runs an agency selling this"
        },
        {
          "claim": "Philosophy",
          "value": "Agent = code + thinking loop + live data; pay inference only where judgment is needed",
          "sources": [
            "gi-marketing-agents-2"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-marketing-agents-1",
        "gi-marketing-agents-2",
        "gi-loops"
      ],
      "related": [
        "marketing_engineer_career",
        "ai_native_service_firm"
      ],
      "leads_to": [
        {
          "id": "niche_data_refinery",
          "why": "Uses the same skills: sales, coding, data science.",
          "curated": false
        },
        {
          "id": "local_business_software",
          "why": "Uses the same skills: sales, automation, coding.",
          "curated": false
        },
        {
          "id": "micro_saas",
          "why": "Uses the same skills: marketing, coding.",
          "curated": false
        }
      ],
      "comes_from": [
        "marketing_engineer_career"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 16000.0,
        "first_dollar_min_days": 14,
        "startup_min": 200,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 3
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "marketing_engineer_career",
      "name": "Marketing engineer / AI growth operator",
      "kind": "career_path",
      "category": "ai_careers",
      "rung": 2,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "The person who turns market signal into pipeline using agents, data, code and taste — in-house, as a consultant ($5–30k/month embeds) or as a productized service.",
      "description": "First build a 'growth OS' folder: customer truth (calls, tickets, churn notes), founder voice, outbound (ICP, triggers, banned language), creative tests, agent job specs. Then six systems: customer-truth memo ('what the market is telling us'), founder content engine, outbound signal engine, creative testing engine, AI-search visibility, weekly growth cockpit. Measure business results (qualified replies, demos), not activity.",
      "how_it_works": [
        "Build a growth OS folder (customer truth, voice, outbound, tests, agent specs)",
        "Ship one machine (e.g., an outbound signal engine)",
        "Measure qualified replies and demos",
        "Turn it into a case study → job, embed or productized service"
      ],
      "who_its_for": [
        "marketer",
        "sales_person",
        "creator",
        "consultant",
        "career_changer"
      ],
      "skills": [
        "marketing",
        "performance_marketing",
        "copywriting",
        "content_creation",
        "automation",
        "ai_tools",
        "analysis",
        "sales",
        "seo"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 2,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "salary / consulting embeds / productized service",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": [
          50,
          200
        ],
        "monthly_potential": [
          4000,
          30000
        ],
        "ceiling": "very_high",
        "stability": 3,
        "note": "Host's projection: $250k–$1M roles (speculative). Consulting embeds $5–30k/month (claim)."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 20,
        "flexibility": "async",
        "first_dollar_days": [
          30,
          90
        ],
        "ramp": "30-day plan: audit a real company → growth repo → one machine → results case study"
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 3,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 2,
        "creativity": 3
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "High demand from AI-native companies",
        "Several ways to monetize"
      ],
      "cons": [
        "Needs semi-technical skills plus marketing judgment",
        "Pay projections are speculative"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Audit a real company (market map)",
        "Build one machine in week 3",
        "Publish results with concrete numbers (messages sent, warm replies, calls)"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Role & systems",
          "value": "Growth OS repo + 6 systems; agents with job specs and approval points",
          "sources": [
            "gi-marketing-engineer"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Market signal",
          "value": "Upwork: AI-augmented professional services earnings +22% YoY; AI-using freelancers +34%/h",
          "sources": [
            "upwork-fwi-2026"
          ],
          "as_of": "2026-07-14",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "gi-marketing-engineer",
        "gi-marketing-agents-1",
        "gi-marketing-agents-2",
        "upwork-fwi-2026",
        "tnw-profound"
      ],
      "related": [
        "marketing_agent_service",
        "agent_readiness_geo",
        "fde_career"
      ],
      "leads_to": [
        {
          "id": "marketing_agent_service",
          "why": "The growth systems you build in-house become a retainer offer.",
          "curated": true
        },
        {
          "id": "ai_native_service_firm",
          "why": "Uses the same skills: marketing, performance marketing, automation.",
          "curated": false
        },
        {
          "id": "agent_readiness_geo",
          "why": "Uses the same skills: marketing, content creation, ai tools.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 125.0,
        "monthly_mid": 17000.0,
        "first_dollar_min_days": 30,
        "startup_min": 0,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": [
          2150,
          8600
        ],
        "source_tiers": {
          "T4": 3,
          "T2": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "mercor",
      "name": "Mercor",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://mercor.com",
      "status": {
        "state": "active_turbulent",
        "note": "Growing fast. In 2026 a reported data breach was followed by proposed class actions (pending), and large project offboardings were reported.",
        "as_of": "2026-10-13"
      },
      "confidence": "A",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 14,
      "one_liner": "The largest expert marketplace for AI labs: hourly contracts for professionals, from generalists to doctors, lawyers and senior engineers.",
      "description": "Mercor matches vetted people to project-based contracts for AI labs and enterprises (writing and grading model outputs, building rubrics and benchmarks, domain evaluations). Matching runs on your profile, an AI interview and assessments; a strong, complete profile can trigger 'instant offers' without applying. Work is contract-based and can end abruptly when a client project ends.",
      "how_it_works": [
        "Create a profile and upload a text-based PDF CV (1–2 pages)",
        "Apply to listings in Explore or wait for instant offers",
        "Complete the AI interview and role assessments (passed assessments are reused)",
        "Sign the contract, install the Insightful desktop app, set up Stripe or Wise",
        "Log hours; pay is released weekly"
      ],
      "who_its_for": [
        "professional",
        "senior_professional",
        "phd_academic",
        "clinician",
        "lawyer",
        "developer",
        "multilingual",
        "recent_grad"
      ],
      "skills": [
        "writing",
        "research",
        "analysis",
        "critical_thinking",
        "software_engineering",
        "coding",
        "medicine",
        "law",
        "finance",
        "math",
        "physics",
        "chemistry",
        "biology",
        "languages",
        "prompting"
      ],
      "domains": [
        "AI evaluation",
        "RLHF",
        "benchmarks",
        "coding",
        "medicine",
        "law",
        "finance",
        "STEM",
        "languages"
      ],
      "languages": [
        "en",
        "multilingual roles exist"
      ],
      "requirements": {
        "education": "varies by listing; top rates need graduate degree, license or senior industry experience",
        "experience": "from generalist roles to 10+ years specialists",
        "credentials": [
          "MD/JD/CFA etc. for specialist tracks"
        ],
        "technical": 1,
        "equipment": [
          "desktop or laptop with Chrome",
          "camera + microphone",
          "Insightful desktop app (no Chromebook/iPad/phone)"
        ],
        "kyc": true,
        "age": 18,
        "other": "Work authorization verified; legal name must match ID"
      },
      "availability": {
        "regions": "global (Stripe Connect countries; Wise as fallback)",
        "excluded": [
          "sanctioned countries"
        ],
        "work_auth": "verified per application",
        "note": "Some listings are region-locked; listings without a location default to US/CA/UK/EU (referral policy)."
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [
          "CU",
          "IR",
          "KP",
          "SY"
        ],
        "requires_work_auth": null,
        "note": "Stripe Connect countries; Wise fallback; some listings region-locked"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": true,
        "unpaid_screening": true,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly (some per-task / one-time listings)",
        "advertised": [
          20,
          250,
          "hour",
          "USD"
        ],
        "realistic": [
          16,
          150,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          16,
          150
        ],
        "monthly_potential": null,
        "ceiling": "high",
        "stability": 2,
        "note": "Advertised 'average contracted rate' oscillated ~$80–141/h in 2026 (≈$108 on 2026-10-04). Realized pay depends on hour caps, project length and per-task rates."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "None for talent; instant payout 1% (optional)",
        "tools": "Desktop + Chrome"
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async (some projects set weekly caps or minimums)",
        "first_dollar_days": [
          7,
          60
        ],
        "ramp": "Days to weeks from application to first contract; first Stripe payout has a 7-day hold"
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 3,
        "sales": 0,
        "audience": 0,
        "on_camera": 1,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "rising",
        "note": "Demand for expert data grows with frontier AI spending (Mercor run-rate >$2B per CEO, July 2026), but individual projects are volatile."
      },
      "pros": [
        "Highest expert rates in the category",
        "Weekly pay via Stripe/Wise",
        "Passed assessments are reused across similar roles",
        "Instant offers can arrive without applying"
      ],
      "cons": [
        "Projects can end without notice; large offboardings were reported in 2026",
        "Pay can be cut on renewal (Nov 2025: $21/h -> $16/h on a rehire offer)",
        "Monitoring software takes random screenshots",
        "Long waits in the talent pool are common"
      ],
      "red_flags": [
        "2026: a reported data breach via a supply-chain attack on the LiteLLM library was followed by six proposed class actions (pending, allegations not proven). The platform collects ID documents and biometric data for verification, so the stakes of a breach are high",
        "Impersonation scams: real offers only arrive inside the Mercor platform"
      ],
      "trust_signals": [
        "Documented weekly payout process (Stripe, Wise)",
        "$10B valuation (Oct 2025); talks at $20B (Jul 2026)",
        "Public talent documentation incl. machine-readable llms-full.txt"
      ],
      "steps": [
        "Write a keyword-rich summary and quantified bullets (see CV playbook)",
        "Upload a text-based PDF CV (no graphics, <2 MB)",
        "Set accurate availability, location and work authorization",
        "Do the AI interview on desktop Chrome in a quiet room; only the latest attempt counts",
        "Enable notifications so instant offers don't expire"
      ],
      "tips": [
        "Retaking an AI interview resets that application's progress",
        "Hide your profile or request data deletion if you stop using it",
        "Treat each contract as temporary; keep 2–3 platforms warm"
      ],
      "examples": [],
      "referral": {
        "available": true,
        "terms": "Referrer earns 20% of the referee's earnings (incl. bonuses) up to a cap of 4x the referee's hourly rate; 100 link uses per rolling 30 days; must not imply you are Mercor or a recruiter.",
        "source": "mercor-docs-referrals"
      },
      "cv_optimization": true,
      "facts": [
        {
          "claim": "Payout schedule",
          "value": "Hours finalized Fri 11:59 PM IST; processed by end of Wednesday (PST); funds usually land Thursday",
          "sources": [
            "mercor-docs-payouts"
          ],
          "as_of": "2026-10-17",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Payout methods",
          "value": "Stripe primary; Wise where Stripe is unavailable; first Stripe payout has a 7-day hold",
          "sources": [
            "mercor-docs-payouts"
          ],
          "as_of": "2026-10-17",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Referral terms",
          "value": "20% of referee earnings up to 4x referee hourly rate (hourly contracts)",
          "sources": [
            "mercor-docs-referrals"
          ],
          "as_of": "2026-10-17",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Advertised average contracted rate",
          "value": "$108/h (2026-10-04); range ~$80–141/h during 2026",
          "sources": [
            "usagepricing-mercor"
          ],
          "as_of": "2026-10-04",
          "confidence": "B",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Listing pay band",
          "value": "Expert listings roughly $60–250/h (e.g., Spanish tutors $60–65, Software Engineer Expert $100–150, Cybersecurity Research $200–250)",
          "sources": [
            "usagepricing-mercor"
          ],
          "as_of": "2026-10-04",
          "confidence": "B",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Median listed rate across live roles",
          "value": "$75/h (n=1,377 listings with hourly rate)",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Valuation & revenue",
          "value": "$10B (Oct 2025, $350M Series C); talks at $20B; run-rate >$2B (CEO, July 2026)",
          "sources": [
            "tc-mercor-20b"
          ],
          "as_of": "2026-07-09",
          "confidence": "A",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Data breach & lawsuits",
          "value": "Reported breach via a supply-chain attack on the LiteLLM library; 6 proposed class actions filed (pending); Meta reportedly paused work with Mercor",
          "sources": [
            "sia-mercor-breach"
          ],
          "as_of": "2026-04-13",
          "confidence": "A",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Pay cut on project change",
          "value": "Meta-related review project ended Nov 2025; workers offered rehire at $16/h (from $21/h)",
          "sources": [
            "forbes-mercor-paycut"
          ],
          "as_of": "2025-11",
          "confidence": "A",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Resume format",
          "value": "PDF only, OCR-friendly text, 1–2 pages, <2 MB",
          "sources": [
            "mercor-docs-apply"
          ],
          "as_of": "2026-10-17",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Community signal (Reddit, July 2026)",
          "value": "Breaking Even's tally: 519 posts; top tags 'actively hiring', 'work drought', 'account bans'; a large offboarding thread",
          "sources": [
            "breakeven-july"
          ],
          "as_of": "2026-08-09",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "mercor-docs-payouts",
        "mercor-docs-referrals",
        "mercor-docs-instant-offer",
        "mercor-docs-apply",
        "usagepricing-mercor",
        "aitrainer-dataset",
        "tc-mercor-20b",
        "sia-mercor-breach",
        "forbes-mercor-paycut",
        "breakeven-july"
      ],
      "related": [
        "micro1",
        "outlier",
        "handshake_ai",
        "ethos",
        "afterquery"
      ],
      "leads_to": [
        {
          "id": "content_engine_service",
          "why": "Evaluating AI writing every day teaches exactly what separates slop from a person's real voice; companies pay for that.",
          "curated": true
        },
        {
          "id": "ai_tools_assessment",
          "why": "You know where models fail; small businesses need someone who can tell them which tools to trust.",
          "curated": true
        },
        {
          "id": "expert_networks",
          "why": "Uses the same skills: analysis, medicine, law.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 83.0,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2026-10-27",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 11,
        "monthly_at_10h": [
          688,
          6450
        ],
        "source_tiers": {
          "T1": 4,
          "T3": 2,
          "T2": 3,
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "micro1",
      "name": "micro1",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://www.micro1.ai",
      "status": {
        "state": "active",
        "note": "July 2026 Reddit surge (116 -> 984 posts) mostly about the hiring funnel.",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 30,
      "one_liner": "AI-interview-gated talent pool ('Zara') placing experts on AI-lab projects; strong rates for STEM, legal and healthcare.",
      "description": "You apply to a role, take a 20–30 minute proctored AI interview (camera + screen share; integrity score from gaze/tab focus), and on passing enter a talent pool. Placement isn't guaranteed and can take weeks.",
      "how_it_works": [
        "Apply to a specific role (generalist or domain expert)",
        "Take the AI interview with 'Zara' (20–30 min, camera + screen share, integrity-scored)",
        "Pass to enter the talent pool; projects are offered when a client needs your profile",
        "Contract and payment via Deel (twice monthly, reported)"
      ],
      "who_its_for": [
        "professional",
        "phd_academic",
        "clinician",
        "lawyer",
        "developer",
        "multilingual"
      ],
      "skills": [
        "software_engineering",
        "coding",
        "math",
        "physics",
        "chemistry",
        "biology",
        "medicine",
        "law",
        "finance",
        "languages",
        "writing"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "varies; specialist roles need proven expertise",
        "experience": "",
        "credentials": [],
        "technical": 1,
        "equipment": [
          "camera",
          "screen share",
          "stable connection"
        ],
        "kyc": true,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global except ~20 countries",
        "excluded": [
          "China",
          "Russia",
          "Iran",
          "Venezuela",
          "Ukraine (reported)",
          "+ others"
        ],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "denylist",
        "countries": [],
        "excluded": [
          "CN",
          "RU",
          "IR",
          "VE",
          "UA",
          "KP",
          "SY",
          "CU",
          "BY"
        ],
        "requires_work_auth": null,
        "note": "~20 excluded countries reported; partial list"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": true,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly (some per-task)",
        "advertised": null,
        "realistic": [
          25,
          150,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          25,
          150
        ],
        "monthly_potential": null,
        "ceiling": "high",
        "stability": 2,
        "note": "Median listed $65/h; Languages $28, Generalist $35, Business $60, SWE $72.50, STEM $95, Legal $117.50, Healthcare $150."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          14,
          60
        ],
        "ramp": "Interview + up to 30 days pool review"
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 3,
        "sales": 0,
        "audience": 0,
        "on_camera": 1,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "High medians for credentialed fields",
        "No application fees",
        "Paid via Deel in USD"
      ],
      "cons": [
        "One interview attempt counts",
        "Proctoring can fail capable people",
        "Talent-pool limbo, no status dashboard"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Use the practice interview",
        "Prepare 2–3 concrete stories with numbers from your field",
        "Close other tabs; look at the camera"
      ],
      "tips": [
        "Treat the interview like a real expert interview: concrete examples, numbers, clear structure",
        "Test camera, microphone and screen share beforehand; a stable connection matters for proctoring",
        "Check that your country isn't on the exclusion list (~20 countries) before investing time"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": true,
      "facts": [
        {
          "claim": "Median listed pay",
          "value": "$65/h (n=312); field medians: Languages $28 … Healthcare $150",
          "sources": [
            "aitrainer-micro1"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Payout",
          "value": "Twice monthly via Deel (reported)",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Community signal",
          "value": "984 Reddit posts in July 2026 (from 116), 364 about technical/interview issues",
          "sources": [
            "breakeven-july"
          ],
          "as_of": "2026-08-09",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-micro1",
        "aitrainer-dataset",
        "breakeven-july"
      ],
      "related": [
        "mercor",
        "ethos"
      ],
      "leads_to": [
        {
          "id": "expert_archive_tool",
          "why": "If you're hired for domain expertise, the same expertise can become a paid tool in your field.",
          "curated": true
        },
        {
          "id": "expert_networks",
          "why": "Uses the same skills: medicine, law, finance.",
          "curated": false
        },
        {
          "id": "translation_marketplaces",
          "why": "Uses the same skills: medicine, law, languages.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 87.5,
        "monthly_mid": null,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2026-11-12",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 3,
        "monthly_at_10h": [
          1075,
          6450
        ],
        "source_tiers": {
          "T3": 2,
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "micro_acquisitions",
      "name": "Buy a small online business (micro-acquisition)",
      "kind": "business_model",
      "category": "ownership",
      "rung": 5,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Skip zero-to-one: buy a small SaaS, app or content site with verified revenue, then improve distribution and costs with AI.",
      "description": "Marketplaces like TrustMRR show verified (API-synced) revenue and handle escrow (3% marketplace fee + escrow fees). Valuations are usually a multiple of annual profit; diligence (traffic sources, churn, platform risk, support load) matters more than the headline. Example: a $15k/month unblocked-games site monetized with AdSense sold for $120k (self-reported).",
      "how_it_works": [
        "Set criteria (price, category, skills you have)",
        "Browse verified marketplaces and request data",
        "Diligence: traffic sources, churn, platform risk, support load",
        "Buy via escrow, transition, then improve with AI"
      ],
      "who_its_for": [
        "founder",
        "professional",
        "senior_professional"
      ],
      "skills": [
        "business_strategy",
        "finance",
        "analysis",
        "marketing",
        "seo",
        "domain_expertise"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "cash flow + resale",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          500,
          10000
        ],
        "ceiling": "high",
        "stability": 3,
        "note": ""
      },
      "costs": {
        "startup": [
          5000,
          250000
        ],
        "fees": "TrustMRR 3% marketplace fee + escrow",
        "tools": ""
      },
      "time": {
        "min_hours_week": 5,
        "flexibility": "async",
        "first_dollar_days": [
          30,
          120
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 4,
        "skill_barrier": 3,
        "sales": 1,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Skips the zero-to-one phase",
        "Existing revenue and customers",
        "API-verified revenue reduces fraud risk"
      ],
      "cons": [
        "Capital required",
        "Hidden problems (declining traffic, platform risk)"
      ],
      "red_flags": [
        "Revenue screenshots aren't proof; insist on verified data"
      ],
      "trust_signals": [],
      "steps": [
        "Start with a small asset in a category you understand",
        "Get analytics access from the seller during diligence"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "TrustMRR marketplace",
          "value": "Revenue verified via read-only payment API keys (Stripe, LemonSqueezy, Polar, Paddle, RevenueCat, Shopify); 3% fee + Escrow.com",
          "sources": [
            "trustmrr-faq"
          ],
          "as_of": "2026-10-13",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Example exit",
          "value": "Unblocked games site $15k/mo via AdSense, sold for $120k (self-reported)",
          "sources": [
            "rosetta-starterstory"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "trustmrr-faq",
        "rosetta-starterstory"
      ],
      "related": [
        "micro_saas",
        "ai_rollup_holdco"
      ],
      "leads_to": [],
      "comes_from": [
        "afterquery",
        "agent_readiness_geo",
        "expert_networks"
      ],
      "landscape": {
        "cases_total": 1,
        "cases_12m": 1,
        "latest_case": "2026-03-01",
        "median_claim_monthly_usd": 15000,
        "claims_with_dashboard": 0,
        "evidence": "thin"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 5250.0,
        "first_dollar_min_days": 30,
        "startup_min": 5000,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T1": 1,
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "micro_saas",
      "name": "Micro-SaaS (small, focused subscription software)",
      "kind": "business_model",
      "category": "software_apps",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "Build one narrow tool for a specific buyer with AI coding tools; most indie SaaS earn little, a few earn a salary — distribution decides.",
      "description": "AI coding (Claude Code, Codex, Cursor, Bolt, Lovable) makes building cheap; finding customers is the hard part. Verified/self-reported indie data is sobering: the median earning indie SaaS makes ~$145 MRR and only ~6% pass $10k MRR. Winners in 2026 case studies are 'boring' B2B tools, products built on a distribution channel the founder already understood (SEO, Reddit, YouTube search, Discord), or tools sitting next to a painful export/spreadsheet step inside software people already pay for.",
      "how_it_works": [
        "Find a paid workflow with a manual step (search 'I export it', 'does anyone know a workaround' on Reddit)",
        "Build the smallest version that removes that step",
        "Charge from day one with one simple plan",
        "Pick ONE acquisition channel and work it for 90 days"
      ],
      "who_its_for": [
        "developer",
        "founder",
        "professional",
        "career_changer",
        "marketer"
      ],
      "skills": [
        "software_engineering",
        "coding",
        "no_code",
        "product",
        "marketing",
        "seo",
        "ai_tools"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 2,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": "Ability to ship with AI coding tools and talk to customers"
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "subscriptions",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          2000
        ],
        "ceiling": "very_high",
        "stability": 2,
        "note": "Median earning indie SaaS ~$145 MRR; 23.6% ≥ $1k; 6.1% ≥ $10k; 0.58% ≥ $100k (self-reported, survivor-biased)."
      },
      "costs": {
        "startup": [
          50,
          1000
        ],
        "fees": "",
        "tools": "AI coding subscription, hosting, domain, payments (Stripe or a merchant of record)"
      },
      "time": {
        "min_hours_week": 10,
        "flexibility": "async",
        "first_dollar_days": [
          30,
          180
        ],
        "ramp": "Expect 6–18 months to meaningful MRR"
      },
      "profile": {
        "risk": 4,
        "skill_barrier": 3,
        "sales": 2,
        "audience": 1,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 2
      },
      "ai_outlook": {
        "trend": "rising_competition",
        "note": "'Mediocre software is dead in several years' (Allie K. Miller) — commodity tools get vibe-coded; point-of-view products and distribution moats win."
      },
      "pros": [
        "Recurring revenue",
        "Can be sold (TrustMRR marketplace, etc.)",
        "Low cash cost"
      ],
      "cons": [
        "Most projects never reach $1k MRR",
        "Customer acquisition is the job"
      ],
      "red_flags": [
        "Courses promising 'easy MRR' ignore the median: ~$145 MRR among indie SaaS that earn anything"
      ],
      "trust_signals": [],
      "steps": [
        "Search communities for 'I export it', 'I copy this into', 'does anyone know a workaround'",
        "Interview 5–10 people who have the problem",
        "Build the smallest version with AI coding tools",
        "Charge from day one and pick ONE channel (SEO, Reddit, YouTube, creators) for 90 days",
        "Track revenue honestly (e.g., verified via TrustMRR)"
      ],
      "tips": [
        "B2B median MRR ($198) is double B2C ($99) in indie data",
        "Category medians: Sales $640, Marketing $276, Education $208, AI $203, DevTools $68",
        "Avoid building systems before revenue — 'systems are a luxury'"
      ],
      "examples": [
        "$60k/mo browser SaaS for packaging Microsoft Intune apps (~$25/mo)",
        "$16k MRR Pinterest automation (Blog to Pin)",
        "$17k MRR open-source social scheduler (Postiz)",
        "$34k/mo AI SaaS grown on Reddit (Goji Berry)",
        "$14k/mo viral-format research SaaS grown via Discord (Algrow)",
        "$40k MRR social-media API grown via Google search (Late)"
      ],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Indie SaaS MRR distribution",
          "value": "Median $145; 25th pct $29; 75th $894; 90th $5,107; 23.6% ≥ $1k; 6.1% ≥ $10k (n=3,787 earning startups)",
          "sources": [
            "bigideas-indie"
          ],
          "as_of": "2026-07-03",
          "confidence": "B",
          "kind": "reported",
          "note": "Self-reported to TrustMRR network; survivorship bias"
        },
        {
          "claim": "Growth reality",
          "value": "Median month-over-month growth 0%; 64.4% flat or declining",
          "sources": [
            "bigideas-indie"
          ],
          "as_of": "2026-07-03",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "2026 case studies",
          "value": "Founder-reported revenues in Starter Story videos (see examples)",
          "sources": [
            "rosetta-starterstory"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Medians by segment and category",
          "value": "B2B $198 vs B2C $99 MRR; Sales $640, Marketing $276, Education $208, AI $203, Fintech $83, DevTools $68",
          "sources": [
            "bigideas-indie"
          ],
          "as_of": "2026-07-03",
          "confidence": "B",
          "kind": "reported",
          "note": "Self-reported; survivorship bias"
        },
        {
          "claim": "Vugola (self-reported, Stripe shown)",
          "value": "~$11.2k MRR with ~400 paying users; first ~$2–3k MRR from X; then 45 minutes a day copying competitors' proven UGC formats on a new Instagram account (3–6 posts/day; ManyChat ~$15/month)",
          "sources": [
            "ss-t-vugola"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "bigideas-indie",
        "trustmrr-faq",
        "rosetta-starterstory",
        "gi-8-repos",
        "gi-ai-native-co",
        "gi-sip-live",
        "ss-t-vugola"
      ],
      "related": [
        "ai_mobile_app",
        "plugins_extensions",
        "micro_acquisitions"
      ],
      "leads_to": [],
      "comes_from": [
        "agent_conversion_agency",
        "agent_readiness_geo",
        "ai_automation_builds",
        "ai_automation_specialist_job",
        "handshake_ai",
        "malt",
        "marketing_agent_service",
        "productized_micro_services",
        "upwork"
      ],
      "landscape": {
        "cases_total": 16,
        "cases_12m": 16,
        "latest_case": "2026-06-10",
        "median_claim_monthly_usd": 40000,
        "claims_with_dashboard": 1,
        "evidence": "strong"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 1000.0,
        "first_dollar_min_days": 30,
        "startup_min": 50,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 5,
        "monthly_at_10h": null,
        "source_tiers": {
          "T3": 1,
          "T1": 1,
          "T4": 5
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "mindrift",
      "name": "Mindrift (Toloka)",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://mindrift.ai",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 45,
      "one_liner": "Toloka's expert/AI-tutor platform; mid-range pay, biweekly payouts via Payoneer/PayPal.",
      "description": "Toloka's platform for AI tutors and domain experts (writing, coding, STEM, languages). Listed rates are mid-range (median $45/h in Oct 2026), payouts are every two weeks via Payoneer or PayPal, and it's open in almost every country.",
      "how_it_works": [
        "Apply to an open role (AI tutor, domain expert, language specialist)",
        "Pass the project's qualification tasks",
        "Work async; payout every two weeks via Payoneer or PayPal"
      ],
      "who_its_for": [
        "professional",
        "multilingual",
        "phd_academic"
      ],
      "skills": [
        "writing",
        "languages",
        "math",
        "coding",
        "research"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global except 17 sanctioned countries and ~35 territories",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "denylist",
        "countries": [],
        "excluded": [
          "CU",
          "IR",
          "KP",
          "SY",
          "RU",
          "BY"
        ],
        "requires_work_auth": null,
        "note": "17 sanctioned countries + ~35 territories excluded; partial list"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": true,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly / per task",
        "advertised": [
          15,
          100,
          "hour",
          "USD"
        ],
        "realistic": [
          12,
          60,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          12,
          60
        ],
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 2,
        "note": "Median listed $45/h (n=305); community reports $12–20/h for many projects."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          14,
          45
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Very broad country coverage",
        "Mid-range median listed pay",
        "Run by an established data company (Toloka)"
      ],
      "cons": [
        "Payments routed via a third party (Solar Staff) per community reports",
        "Community-reported effective pay ($12–20/h) is often well below the listed median"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Apply to 1–2 roles in your strongest domain",
        "Do qualification tasks carefully; they gate access to projects"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pay & payout",
          "value": "Stated $15–100/h; median $45/h (n=305); every two weeks via Payoneer/PayPal",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Community rating",
          "value": "Tier B: 'clunky but legitimate', $12–20/h",
          "sources": [
            "breakeven-tier"
          ],
          "as_of": "2026-09-14",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-dataset",
        "breakeven-tier"
      ],
      "related": [
        "outlier",
        "micro1"
      ],
      "leads_to": [
        {
          "id": "niche_data_refinery",
          "why": "Uses the same skills: coding, research.",
          "curated": false
        },
        {
          "id": "fde_career",
          "why": "Uses the same skills: coding.",
          "curated": false
        },
        {
          "id": "ai_automation_specialist_job",
          "why": "Uses the same skills: coding.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 36.0,
        "monthly_mid": null,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2026-11-27",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": [
          516,
          2580
        ],
        "source_tiers": {
          "T3": 1,
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "mturk",
      "name": "Amazon Mechanical Turk",
      "kind": "platform",
      "category": "microtasks_research",
      "rung": 1,
      "url": "https://www.mturk.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "The original microtask market; mostly US/India, low effective pay — listed for completeness, generally not recommended.",
      "description": "Amazon Mechanical Turk is the original microtask marketplace (surveys, data cleaning, labeling). Effective pay is low and worker access is concentrated in the US and India. It's listed for completeness.",
      "how_it_works": [],
      "who_its_for": [],
      "skills": [],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "US / India focus",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "limited",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": "US/India focus"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per task",
        "advertised": null,
        "realistic": [
          3,
          10,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          3,
          10
        ],
        "monthly_potential": null,
        "ceiling": "low",
        "stability": 2,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          30
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Huge task variety"
      ],
      "cons": [
        "Low effective pay ($3–10/h reported)",
        "Limited country access"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Use requester-review communities to avoid bad requesters"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pay & verdict",
          "value": "$3–10/h; 'not recommended'",
          "sources": [
            "airankings-guide"
          ],
          "as_of": "2026-08-16",
          "confidence": "C",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "airankings-guide"
      ],
      "related": [
        "clickworker",
        "prolific"
      ],
      "leads_to": [],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 6.5,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": [
          129,
          430
        ],
        "source_tiers": {
          "T3": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "newsletter",
      "name": "Niche newsletter (Substack / beehiiv / Ghost)",
      "kind": "platform",
      "category": "creator_audience",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Curate and editorialize one niche weekly; monetize with sponsors, paid tiers and affiliate links. AI agents can do the research grunt-work.",
      "description": "Pick a niche you can source well (local events, a hobby, an industry). Monetize via sponsorships (often the biggest lever), paid subscriptions, ad networks and affiliate links. Example in transcripts: a 6,000-subscriber local newsletter run with a small agent team; the agent found a sponsor by monitoring inbound email.",
      "how_it_works": [],
      "who_its_for": [
        "creator",
        "professional",
        "marketer",
        "teacher",
        "multilingual"
      ],
      "skills": [
        "writing",
        "research",
        "content_creation",
        "marketing",
        "community"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "unknown",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "sponsors + paid subscriptions + affiliate",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          5000
        ],
        "ceiling": "high",
        "stability": 3,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          600
        ],
        "fees": "Substack 10% of paid subs (+Stripe ~2.9%+$0.30, +0.7% billing); beehiiv 0% platform fee from Scale tier ($43/mo annual); Ghost Pro 0% ($15–199/mo); Patreon flat 10% for new creators",
        "tools": ""
      },
      "time": {
        "min_hours_week": 3,
        "flexibility": "async, weekly deadline",
        "first_dollar_days": [
          60,
          365
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 1,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 2
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "You own the audience (email list)",
        "Sponsors pay well for niche audiences",
        "Low cost; agents can handle research"
      ],
      "cons": [
        "Slow growth at the start",
        "Requires weekly deadline discipline"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Pick a niche with sources you can monitor (sheet of 20–50 sources)",
        "Publish weekly for 12 weeks before judging",
        "Create a sponsor sheet early; sell to local/niche businesses",
        "Use an agent for research, a cheap model for blurbs, a human for taste"
      ],
      "tips": [
        "Use a cheap model for repetitive blurbs and a better one only for judgment calls",
        "Local newsletters can sell sponsorships to local businesses"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Platform fees",
          "value": "Substack 10%; beehiiv 0% from Scale tier; Ghost Pro 0%; Patreon flat 10% (pages after 2025-08-04)",
          "sources": [
            "jbr-newsletter-fees"
          ],
          "as_of": "2026-05-18",
          "confidence": "C",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Agent-run local newsletter example",
          "value": "6,000 subscribers, weekly; sponsor sourced by agent watching inbound email",
          "sources": [
            "gi-grok-bot"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "jbr-newsletter-fees",
        "gi-grok-bot",
        "gi-write-with-ai"
      ],
      "related": [
        "niche_directory",
        "youtube_partner",
        "affiliate_content"
      ],
      "leads_to": [
        {
          "id": "paid_community",
          "why": "Engaged readers become founding members.",
          "curated": true
        }
      ],
      "comes_from": [
        "prolific"
      ],
      "landscape": {
        "cases_total": 1,
        "cases_12m": 1,
        "latest_case": "2026",
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "thin"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 2500.0,
        "first_dollar_min_days": 60,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
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        "overdue": false,
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        "source_tiers": {
          "T4": 3
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "niche_data_refinery",
      "name": "Niche data refinery ('clean fuel for agents')",
      "kind": "business_model",
      "category": "data_assets",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Track 100 businesses in one niche + city (prices, reviews, hiring, ads), turn it into reports, then a dashboard, API, MCP tool and eventually pay-per-lookup for agents.",
      "description": "Filter: data that is valuable, repeated, changing, fragmented and annoying to collect. First customers are those already selling into the niche (marketing agencies, consultants, AI implementers) — e.g., a med-spa agency charging $5k/month pays $300–800/month for local market intelligence. Path: spreadsheet → 10 outputs → dashboard → API → MCP → HTTP-402 pay-per-request rails (Cloudflare pay-per-crawl / x402).",
      "how_it_works": [
        "Pick one niche + one city and track 100 businesses in a sheet",
        "Produce 10 outputs (pricing map, competitor gaps, review complaints, hiring signals …)",
        "Sell to people already selling into the niche (agencies, consultants)",
        "Graduate: report → dashboard → API → MCP → pay-per-lookup"
      ],
      "who_its_for": [
        "founder",
        "developer",
        "consultant",
        "marketer"
      ],
      "skills": [
        "research",
        "data_science",
        "analysis",
        "coding",
        "no_code",
        "sales",
        "domain_expertise"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "subscriptions to agencies → API / per-lookup",
        "advertised": [
          300,
          800,
          "month_per_client",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          15000
        ],
        "ceiling": "very_high",
        "stability": 4,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 8,
        "flexibility": "async",
        "first_dollar_days": [
          30,
          120
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 3,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Data compounds",
        "Ready for the agent economy",
        "B2B buyers with budgets"
      ],
      "cons": [
        "Manual collection at first",
        "Keeping data fresh is ongoing work"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Build the sheet manually first to learn what matters",
        "Pre-sell a monthly report to 3 agencies"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pricing to agencies",
          "value": "$300–800/mo per agency client (example)",
          "sources": [
            "gi-cloudflare"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Cloudflare rails",
          "value": "AI Crawl Control, Pay per Crawl, HTTP 402 payment-required pricing for any resource",
          "sources": [
            "gi-cloudflare"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Example buyer",
          "value": "A med-spa marketing agency charging clients $5k/month would pay $300–800/month for local market intelligence",
          "sources": [
            "gi-cloudflare"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-cloudflare",
        "gi-13-businesses"
      ],
      "related": [
        "niche_directory",
        "expert_archive_tool",
        "agent_connectors"
      ],
      "leads_to": [],
      "comes_from": [
        "dataannotation",
        "handshake_ai",
        "invisible_meridial",
        "marketing_agent_service",
        "mindrift",
        "niche_directory",
        "outlier",
        "reselling_arbitrage",
        "sme_careers"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 7500.0,
        "first_dollar_min_days": 30,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 3,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "niche_directory",
      "name": "Niche directory website",
      "kind": "business_model",
      "category": "data_assets",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Curate a messy local or niche category (dog parks, daycares, liquidation stores) into the best structured listing site; monetize with ads, premium listings and leads.",
      "description": "Frey Chu's method: choose 'near me' keywords with 30–100k monthly searches, KD < 20, fragmented intent; scrape Google Maps (e.g., Outscraper), enrich with details competitors lack (shade, benches, licensing, cameras), publish city pillar pages with maps and internal links; monetize later. AI agents can research one entity per day and write pages. Warning from the same source: a 'directory of directories' doesn't work — the data must solve a real decision.",
      "how_it_works": [
        "Pick a 'near me' category with search volume and weak competition",
        "Scrape listings (e.g., Google Maps) and enrich them with the details people need",
        "Publish city/category pages with maps and internal links",
        "Monetize: ads, premium listings, leads, affiliate"
      ],
      "who_its_for": [
        "founder",
        "marketer",
        "developer",
        "creator",
        "career_changer"
      ],
      "skills": [
        "seo",
        "research",
        "no_code",
        "writing",
        "data_science"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "display ads, premium listings, lead gen, affiliate",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          5000
        ],
        "ceiling": "high",
        "stability": 3,
        "note": "Case: dog-park directory $10.5k/mo (podcast title); Frey's sites '$2,500/mo+'."
      },
      "costs": {
        "startup": [
          50,
          1000
        ],
        "fees": "",
        "tools": "Scraper credits, WordPress or Astro + Cloudflare, domain, SEO tool"
      },
      "time": {
        "min_hours_week": 5,
        "flexibility": "async",
        "first_dollar_days": [
          60,
          365
        ],
        "ramp": "SEO trust takes months"
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "shifting",
        "note": "AI overviews take clicks, but curated structured data is what AI systems and agents need — make it agent-readable."
      },
      "pros": [
        "Compounding SEO asset",
        "Several monetization paths",
        "Agents can do research and page writing"
      ],
      "cons": [
        "SEO takes months",
        "AI answers may reduce clicks"
      ],
      "red_flags": [
        "A 'directory of directories' doesn't work; the data must help a real decision"
      ],
      "trust_signals": [],
      "steps": [
        "Validate keyword volume and difficulty first",
        "Publish a solid batch of enriched listings before judging",
        "Add a newsletter so you own the audience"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Niche criteria & stack",
          "value": "'near me' 30–100k searches, KD<20; Outscraper + enrichment; AdSense/Mediavine, leads, premium listings",
          "sources": [
            "sip-frey-dogparks",
            "nichepursuits-frey"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Revenue examples",
          "value": "Dog-park directory $10.5k/mo (2025-02); sites '$2,500/mo+' (2025-08)",
          "sources": [
            "sip-frey-dogparks",
            "nichepursuits-frey"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "sip-frey-dogparks",
        "nichepursuits-frey",
        "gi-grok-bot",
        "gi-cloudflare"
      ],
      "related": [
        "niche_data_refinery",
        "newsletter",
        "agent_connectors"
      ],
      "leads_to": [
        {
          "id": "niche_data_refinery",
          "why": "The data behind a directory can be sold to businesses in the niche.",
          "curated": true
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 1,
        "cases_12m": 0,
        "latest_case": "2025-02-12",
        "median_claim_monthly_usd": 10500,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
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        "first_dollar_min_days": 60,
        "startup_min": 50,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 4
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "niche_ecommerce_brand",
      "name": "Niche physical product / e-commerce brand (agent-assisted)",
      "kind": "business_model",
      "category": "commerce",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Design or source a product for a passionate niche (coffee nerds, combat athletes, anti-scroll users) and run sourcing, store and email with a small agent team.",
      "description": "Sources argue physical goods regain appeal because digital is cheap to copy. AI now helps with product research (e.g., checking competitors' suppliers via import data), CAD/prototyping and store operations. Examples cited: Fellow (coffee kettles), The Minimal Company (anti-scroll phone, millions on Kickstarter). Capital and inventory risk are real.",
      "how_it_works": [
        "Pick a passionate niche you understand",
        "Research suppliers (import records) and competitors",
        "Prototype (AI + CAD/3D printing) and order samples",
        "Launch on Shopify; agents handle research, listings and email"
      ],
      "who_its_for": [
        "founder",
        "creative",
        "marketer"
      ],
      "skills": [
        "ecommerce",
        "product",
        "design",
        "marketing",
        "performance_marketing",
        "logistics"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "product margin",
        "advertised": null,
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        "hourly_equiv": null,
        "monthly_potential": [
          0,
          20000
        ],
        "ceiling": "very_high",
        "stability": 2,
        "note": ""
      },
      "costs": {
        "startup": [
          1000,
          20000
        ],
        "fees": "",
        "tools": "Shopify, samples, inventory, ads"
      },
      "time": {
        "min_hours_week": 15,
        "flexibility": "async",
        "first_dollar_days": [
          60,
          240
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 5,
        "skill_barrier": 3,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 3
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Physical products are harder to copy than software",
        "Fan communities buy repeatedly"
      ],
      "cons": [
        "Inventory and cash risk",
        "Rising ad costs"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Pre-sell or crowdfund before large inventory orders"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Agent-assisted sourcing",
          "value": "Sourcing agent used import-records tool to see competitors' suppliers and margins",
          "sources": [
            "gi-grok-bot"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Fan-following products",
          "value": "Fellow kettles; Minimal Company phone ('millions on Kickstarter')",
          "sources": [
            "gi-13-businesses"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-grok-bot",
        "gi-13-businesses",
        "gi-astra-prompts"
      ],
      "related": [
        "reselling_arbitrage"
      ],
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        "ai_native_service_firm"
      ],
      "landscape": {
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        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 10000.0,
        "first_dollar_min_days": 60,
        "startup_min": 1000,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
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        "source_tiers": {
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        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "offline_experience_business",
      "name": "Offline experience / 'third space' business (pre-sold online)",
      "kind": "business_model",
      "category": "commerce",
      "rung": 5,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 365,
      "one_liner": "Communal sauna clubs, premium arcades/LAN cafés, creative retreats — things AI can't replace; build the audience online first and pre-sell memberships.",
      "description": "Third spaces are declining while loneliness rises. Start with the 'food-truck version' (Othership started in a founder's backyard), pre-sell memberships to an online audience, then sign a lease. Capital-intensive; one founder's retreat broke even ($110k cost / $110k revenue) but fed ideas into his online businesses.",
      "how_it_works": [
        "Build an online audience around the experience",
        "Run a 'food-truck version' first (pop-up, backyard, rented space)",
        "Pre-sell memberships",
        "Sign a lease only after demand is proven"
      ],
      "who_its_for": [
        "founder",
        "creative"
      ],
      "skills": [
        "community",
        "operations",
        "marketing",
        "sales"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
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        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
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        "schedule_bound": true
      },
      "earnings": {
        "model": "memberships, tickets, F&B",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          30000
        ],
        "ceiling": "high",
        "stability": 3,
        "note": ""
      },
      "costs": {
        "startup": [
          5000,
          250000
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 30,
        "flexibility": "scheduled, on site",
        "first_dollar_days": [
          60,
          365
        ],
        "ramp": ""
      },
      "profile": {
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        "skill_barrier": 3,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 3,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Hard for AI to replace",
        "Membership revenue",
        "Community moat"
      ],
      "cons": [
        "Capital-intensive",
        "On-site, scheduled work",
        "Local regulation"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Run a few pop-up events",
        "Collect deposits before committing to a lease"
      ],
      "tips": [],
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        "available": false,
        "terms": "",
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      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Examples",
          "value": "Othership sauna club (started in backyard); creative retreat broke even at $110k",
          "sources": [
            "gi-13-businesses",
            "gi-sip-live"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "gi-13-businesses",
        "gi-sip-live"
      ],
      "related": [],
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        "ai_native_service_firm"
      ],
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        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 15000.0,
        "first_dollar_min_days": 60,
        "startup_min": 5000,
        "needs_review_by": "2027-10-13",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "oneforma",
      "name": "OneForma (Centific)",
      "kind": "platform",
      "category": "language_services",
      "rung": 1,
      "url": "https://www.oneforma.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "Language data projects (transcription review, translation QA, search relevance) across 100+ countries; many pass tests but get little work.",
      "description": "OneForma (Centific) runs language-data projects in 100+ countries: transcription review, translation QA, search relevance and data collection. Many people pass the qualifications but receive little work.",
      "how_it_works": [],
      "who_its_for": [
        "multilingual",
        "student"
      ],
      "skills": [
        "languages",
        "translation",
        "transcription"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "100+ countries",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": true,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per task / hourly / per word",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": [
          5,
          15
        ],
        "monthly_potential": null,
        "ceiling": "low",
        "stability": 1,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          30
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Many languages and countries",
        "Paid every two weeks"
      ],
      "cons": [
        "Work can be inconsistent after you qualify"
      ],
      "red_flags": [
        "ChatGPT research mislabelled it as 'Pactera (former Lionbridge)' — verify ownership claims"
      ],
      "trust_signals": [],
      "steps": [
        "Apply to projects in your native language(s)",
        "Complete qualifications promptly"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Coverage & payout",
          "value": "100+ countries; every two weeks via Payoneer/PayPal/bank",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-dataset",
        "chatgpt-dr-2"
      ],
      "related": [
        "appen_crowdgen",
        "telus_ai"
      ],
      "leads_to": [
        {
          "id": "productized_micro_services",
          "why": "Multilingual skills sell as localized tutorials and onboarding videos for SaaS companies.",
          "curated": true
        },
        {
          "id": "translation_marketplaces",
          "why": "Uses the same skills: languages, translation.",
          "curated": false
        },
        {
          "id": "upwork",
          "why": "Uses the same skills: translation.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 10.0,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": [
          215,
          645
        ],
        "source_tiers": {
          "T3": 1,
          "T5": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "outlier",
      "name": "Outlier (Scale AI)",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://outlier.ai",
      "status": {
        "state": "active_turbulent",
        "note": "In 2026, community posts are dominated by complaints about empty task queues and account bans (Breaking Even tallies).",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 14,
      "one_liner": "Scale AI's contributor platform: rate, write and fix AI outputs, with specialist tracks up to ~$150/h advertised.",
      "description": "Outlier runs many projects at once (ranking responses, writing prompts and ideal answers, coding evaluation, multilingual work). Pay is set per project and shown before you start; onboarding and qualifications are unpaid. Task availability swings sharply, and account bans are a frequent complaint in community forums.",
      "how_it_works": [
        "Sign up, add CV and domains, verify identity",
        "Pass skill assessments and project onboarding (unpaid)",
        "Work tasks when your queue has them",
        "Weekly payout via PayPal, Airtm or bank"
      ],
      "who_its_for": [
        "student",
        "recent_grad",
        "professional",
        "multilingual",
        "developer",
        "phd_academic"
      ],
      "skills": [
        "writing",
        "editing",
        "research",
        "coding",
        "math",
        "languages",
        "prompting",
        "critical_thinking"
      ],
      "domains": [
        "RLHF",
        "coding",
        "STEM",
        "languages",
        "creative writing"
      ],
      "languages": [
        "en",
        "many language projects"
      ],
      "requirements": {
        "education": "undergraduate-level typical; graduate preferred for top rates",
        "experience": "",
        "credentials": [],
        "technical": 1,
        "equipment": [
          "computer",
          "phone for ID verification"
        ],
        "kyc": true,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "~50 countries (list unpublished)",
        "excluded": [],
        "work_auth": "",
        "note": "Some projects limited by country, region or US state."
      },
      "geo": {
        "scope": "limited",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": "~50 countries, list unpublished"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": true,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly or per-task, set per project",
        "advertised": [
          15,
          150,
          "hour",
          "USD"
        ],
        "realistic": [
          12,
          60,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          12,
          60
        ],
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 1,
        "note": "Generalist listings ~up to $15/h; contributor-reported $12–30 standard and $35–60 specialists; region-tiered pay."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          30
        ],
        "ramp": "Onboarding 30–90 min plus unpaid project qualifications"
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "volatile",
        "note": "Volume fell after Meta's 49% stake in Scale (June 2025) and staff/contractor cuts (July 2025)."
      },
      "pros": [
        "No minimum payout; weekly pay",
        "Broad project mix incl. languages",
        "Specialist tracks pay well when available"
      ],
      "cons": [
        "Unpaid onboarding and qualification time",
        "Work dries up without warning",
        "Community reports of unexplained bans and slow support"
      ],
      "red_flags": [
        "Scale AI agreed to a $12.5M settlement of a California wage-and-hour class action (McKinney v. Scale AI) covering contributors from 2020 to 2026; final court approval was pending as of October 2026"
      ],
      "trust_signals": [
        "Operated by Scale AI",
        "Reports 96% of pay inquiries resolved within 10 days (company claim)"
      ],
      "steps": [
        "Pick 2–3 domains you can prove (degree, work)",
        "Do onboarding in one sitting with notes",
        "Accept that first weeks may have little work; keep another platform active"
      ],
      "tips": [
        "Read each project's instructions twice; quality scores decide whether you keep access",
        "Keep a private log of task IDs, hours and pay rates in case a payment question comes up",
        "Keep project details confidential (NDAs apply); don't post screenshots in communities"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": true,
      "facts": [
        {
          "claim": "Payout methods",
          "value": "PayPal, Airtm or bank transfer",
          "sources": [
            "outlier-pay-blog"
          ],
          "as_of": "2026-10-13",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Payout schedule",
          "value": "Weekly on Tuesdays for prior Tue–Mon (UTC); no minimum",
          "sources": [
            "airankings-outlier"
          ],
          "as_of": "2026-08-16",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Advertised specialist ceiling",
          "value": "'Earn up to $150 USD/hr' on ML expert page",
          "sources": [
            "outlier-experts-rsi"
          ],
          "as_of": "2026-10-17",
          "confidence": "A",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "Reported pay",
          "value": "$12–30/h standard, $35–60/h specialists (self-reported)",
          "sources": [
            "airankings-outlier"
          ],
          "as_of": "2026-08-16",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Settlement",
          "value": "$12.5M McKinney v. Scale AI (CGC-24-620481); CA contributors 2020-12-10 to 2026-02-28; final approval hearing 2026-10-30",
          "sources": [
            "claimdepot-scale",
            "breakeven-july"
          ],
          "as_of": "2026-10-13",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Community signal (Reddit, July 2026)",
          "value": "Breaking Even's tally: 614 posts, 432 negative; top tag account bans (228)",
          "sources": [
            "breakeven-july"
          ],
          "as_of": "2026-08-09",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Open listings tracked",
          "value": "11 (median $20/h)",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Pay-inquiry handling (company claim)",
          "value": "96% of pay inquiries resolved within 10 days",
          "sources": [
            "outlier-pay-blog"
          ],
          "as_of": "2026-10-13",
          "confidence": "B",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "outlier-pay-blog",
        "outlier-experts-rsi",
        "airankings-outlier",
        "breakeven-july",
        "aitrainer-dataset",
        "claimdepot-scale"
      ],
      "related": [
        "dataannotation",
        "mercor",
        "alignerr"
      ],
      "leads_to": [
        {
          "id": "ai_tools_assessment",
          "why": "Rating model outputs is the same judgment a business needs before it trusts an AI tool.",
          "curated": true
        },
        {
          "id": "niche_data_refinery",
          "why": "Uses the same skills: research, coding.",
          "curated": false
        },
        {
          "id": "fde_career",
          "why": "Uses the same skills: coding.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 36.0,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2026-10-27",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 8,
        "monthly_at_10h": [
          516,
          2580
        ],
        "source_tiers": {
          "T1": 2,
          "T3": 3,
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "paid_community",
      "name": "Paid community & membership around an identity",
      "kind": "business_model",
      "category": "creator_audience",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Build a 'world' around a group of people with a lasting problem: free newsletter, paid community, job board, events. Calm and durable if the problem never ends.",
      "description": "Generalist World (a solo founder on a Scottish island with a small team) earns about $30k a month from a newsletter, a members' community, a job board, a summer school and partnerships, around one identity: people who don't fit in a box at work. The lessons: fall in love with a big, never-finished problem rather than an idea; send partners a body of finished work instead of waiting for permission; and size the business to the life you want. Community platforms take a cut: e.g., Skool's low tier charges a higher transaction fee than its pro tier (per a competitor's comparison).",
      "how_it_works": [
        "Pick a group with a lasting problem or identity",
        "Publish a free newsletter for that group",
        "Open a paid community with events, resources and a job board",
        "Add partnerships and sponsors once the audience trusts you"
      ],
      "who_its_for": [
        "creator",
        "professional",
        "teacher",
        "founder",
        "career_changer",
        "consultant"
      ],
      "skills": [
        "writing",
        "community",
        "content_creation",
        "social_media",
        "marketing",
        "public_speaking",
        "domain_expertise"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "memberships + sponsorships/partnerships + job board + events",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          5000
        ],
        "ceiling": "high",
        "stability": 4,
        "note": "Slow to start; members stay when the community keeps solving the problem."
      },
      "costs": {
        "startup": [
          0,
          300
        ],
        "fees": "Community platform plan + transaction fee (e.g., Skool $9/month + 10% or $99/month + 2.9%, per a competitor's 2026 comparison); newsletter tool",
        "tools": "Newsletter platform, community platform, event tools"
      },
      "time": {
        "min_hours_week": 8,
        "flexibility": "async + scheduled community events",
        "first_dollar_days": [
          60,
          365
        ],
        "ramp": "Usually 6–12 months to a meaningful paying membership"
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 1,
        "audience": 3,
        "on_camera": 1,
        "people_facing": 2,
        "creativity": 2
      },
      "ai_outlook": {
        "trend": "rising",
        "note": "Human connection and identity get more valuable as AI floods content."
      },
      "pros": [
        "Durable recurring revenue",
        "Fits a calm, lifestyle-first business",
        "Hard for AI to replace"
      ],
      "cons": [
        "Slow start",
        "Needs ongoing moderation and events",
        "Platform fees on every payment"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Write about the problem every week for three months",
        "Invite your most engaged readers into a founding membership",
        "Send partners finished work and results instead of waiting for permission"
      ],
      "tips": [
        "Fall in love with a problem that never ends, not with an idea",
        "Compare community-platform plans: a cheap plan with a high transaction fee costs more as you grow"
      ],
      "examples": [
        "Generalist World: newsletter + paid community for generalists, ~$30k/month (self-reported)"
      ],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Generalist World (self-reported)",
          "value": "~$30k/month; nearly $600k over 4 years; newsletter, members' community, job board, summer school; largest partnership with beehiiv",
          "sources": [
            "ss-t-island"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "Skool fees (competitor's comparison)",
          "value": "Hobby $9/month + 10% transaction fee; Pro $99/month + 2.9%",
          "sources": [
            "schoolmaker-skool"
          ],
          "as_of": "2026-09-10",
          "confidence": "D",
          "kind": "reported",
          "note": "Published by a competing platform"
        }
      ],
      "sources": [
        "ss-t-island",
        "ss-s-island-3pm",
        "schoolmaker-skool"
      ],
      "related": [
        "newsletter",
        "topic_media_page",
        "digital_products"
      ],
      "leads_to": [],
      "comes_from": [
        "agent_readiness_geo",
        "ai_workshops",
        "cambly",
        "content_engine_service",
        "newsletter",
        "preply"
      ],
      "landscape": {
        "cases_total": 1,
        "cases_12m": 1,
        "latest_case": "2026",
        "median_claim_monthly_usd": 30000,
        "claims_with_dashboard": 0,
        "evidence": "thin"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 2500.0,
        "first_dollar_min_days": 60,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 2,
          "T5": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "personal_agent_setup",
      "name": "Personal AI agent setup & care for non-technical people",
      "kind": "business_model",
      "category": "ai_services",
      "rung": 3,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "Install, connect and maintain personal agents (assistants that book, file, remind) for families, seniors and solo professionals — safely.",
      "description": "Power-user agent stacks (self-hosted on a VPS with connectors) are fragile and out of reach for most people; consumer agents are simpler but raise privacy questions. Service: setup, permissions, a limited virtual card for purchases (contain the 'blast radius'), monthly check-ins.",
      "how_it_works": [
        "Find out what the client wants handled (bookings, reminders, email triage)",
        "Set up the agent, its connectors and permissions",
        "Create a limited virtual card for purchases",
        "Monthly check-ins and maintenance"
      ],
      "who_its_for": [
        "developer",
        "teacher",
        "career_changer",
        "freelancer"
      ],
      "skills": [
        "ai_tools",
        "automation",
        "customer_support",
        "teaching"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "setup fee + monthly care plan",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          300,
          4000
        ],
        "ceiling": "medium",
        "stability": 3,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 3,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          45
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 1,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 2,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Large non-technical market",
        "Recurring care plans"
      ],
      "cons": [
        "Liability for credentials and data",
        "Agent products change quickly"
      ],
      "red_flags": [
        "Handle credentials and data with care; reports of consumer agents retaining emails after disconnect"
      ],
      "trust_signals": [],
      "steps": [
        "Set up your own agent and a family member's first",
        "Write a one-page safety checklist (permissions, card limits, data retention)"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Safety practice",
          "value": "Give agents a separate virtual card with a daily limit (~$500 in example)",
          "sources": [
            "gi-instinct"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "gi-instinct",
        "gi-sip-live"
      ],
      "related": [
        "ai_workshops",
        "ai_concierge"
      ],
      "leads_to": [
        {
          "id": "local_business_software",
          "why": "Uses the same skills: ai tools, automation, customer support.",
          "curated": false
        },
        {
          "id": "ai_rollup_holdco",
          "why": "Uses the same skills: ai tools, automation.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 2150.0,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "plugins_extensions",
      "name": "Plugins & extensions (WordPress, Shopify, Chrome, Photoshop)",
      "kind": "business_model",
      "category": "software_apps",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Ride an existing ecosystem's distribution: rebuild a proven paid plugin as the AI-first version, or bundle many small ones.",
      "description": "WordPress powers ~43% of websites (per transcript claim) and many plugins (SEO, forms, WooCommerce, spam) have validated demand but no AI-native version. Ideas: an SEO plugin whose agent fixes issues instead of showing red dots; a conversational form that qualifies leads; an AI storekeeper for WooCommerce; 'Lovable for WordPress' bundling common plugins and selling tokens.",
      "how_it_works": [
        "Find a popular paid plugin category with weak UX or no AI",
        "Build the AI-first version for one ecosystem",
        "Distribute through the ecosystem's store and search",
        "Cross-promote a portfolio of small plugins"
      ],
      "who_its_for": [
        "developer",
        "founder"
      ],
      "skills": [
        "software_engineering",
        "coding",
        "product",
        "seo",
        "ecommerce"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 3,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "licences / subscriptions",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          5000
        ],
        "ceiling": "very_high",
        "stability": 3,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          500
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 10,
        "flexibility": "async",
        "first_dollar_days": [
          30,
          180
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 4,
        "sales": 1,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Built-in distribution via plugin stores",
        "Demand already validated by existing paid plugins"
      ],
      "cons": [
        "Platform risk (store rules, API changes)",
        "Support load grows with every plugin"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "List the top paid plugins in one ecosystem and read their 1-star reviews",
        "Ship one plugin, then cross-promote the next"
      ],
      "tips": [],
      "examples": [
        "$150k/mo average from 20 WordPress plugins + 1 Shopify app with cross-promotion (Starter Story, Feb 2026)",
        "$12k/mo Photoshop plugin (BulkMockup)",
        "$13k/mo Mac AI file-search app (Elephas) via Reddit + SEO"
      ],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Plugin portfolio case",
          "value": "20 WP plugins + 1 Shopify app ≈ $150k/mo average ($1.8M/yr), self-reported",
          "sources": [
            "rosetta-starterstory"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        },
        {
          "claim": "AI-first plugin ideas",
          "value": "Yoast→agentic SEO, WPForms→conversational lead form, WooCommerce→AI storekeeper",
          "sources": [
            "gi-marketing-agents-1"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "WordPress share of websites",
          "value": "~43% of all websites (figure cited and checked on air by the host)",
          "sources": [
            "gi-marketing-agents-1"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "rosetta-starterstory",
        "gi-marketing-agents-1"
      ],
      "related": [
        "micro_saas"
      ],
      "leads_to": [],
      "comes_from": [
        "agent_conversion_agency",
        "toptal"
      ],
      "landscape": {
        "cases_total": 3,
        "cases_12m": 3,
        "latest_case": "2026-02-11",
        "median_claim_monthly_usd": 13000,
        "claims_with_dashboard": 0,
        "evidence": "some"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 2500.0,
        "first_dollar_min_days": 30,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 3,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "preply",
      "name": "Preply",
      "kind": "platform",
      "category": "teaching",
      "rung": 2,
      "url": "https://preply.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-14",
      "review_every_days": 120,
      "one_liner": "Largest language-tutoring marketplace: you set the rate, Preply takes the trial lesson and a 33%→18% commission.",
      "description": "Preply is the largest online tutoring marketplace for languages and school subjects. You set your hourly rate; Preply keeps the whole trial lesson plus a commission that falls from 33% to 18% as your total taught hours grow.",
      "how_it_works": [
        "Create a tutor profile with an intro video and your rate",
        "Students book a trial lesson (Preply keeps 100% of it)",
        "Students who continue buy lesson packages",
        "Your commission falls as your cumulative hours grow"
      ],
      "who_its_for": [
        "teacher",
        "multilingual",
        "student",
        "caregiver_part_time",
        "career_changer"
      ],
      "skills": [
        "teaching",
        "tutoring",
        "languages",
        "public_speaking"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": true
      },
      "earnings": {
        "model": "per lesson (your rate)",
        "advertised": null,
        "realistic": [
          10,
          40,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          8,
          35
        ],
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 3,
        "note": "After commission: on a $35 lesson you keep $23.45 (0–20h) up to $28.70 (400h+). Trial lessons pay $0."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "Trial lesson 100%; 33% (0–20h) -> 28% (20–50h) -> ~25% (50–200h) -> ~22% (200–400h) -> 18% (400h+)",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "scheduled lessons you set",
        "first_dollar_days": [
          7,
          45
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 2,
        "people_facing": 3,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Steady demand for languages",
        "You set your own rate and schedule"
      ],
      "cons": [
        "Trial lessons pay nothing",
        "High commission at the start (33%)",
        "Price competition in common languages"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Record a short, warm intro video",
        "Start slightly below your target rate to win first reviews, then raise it",
        "Specialize (exam prep, business English, kids)"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Commission (official)",
          "value": "Trial lessons with new students 100%; afterwards 18–33% of your rate: new tutors 33%, 28% after 20 hours, down to 18% at 400+ hours (e.g., $10 lesson → $6.70 new, $8.20 at 400+ h)",
          "sources": [
            "preply-help-commission"
          ],
          "as_of": "2026-10-14",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Intermediate tiers (third party)",
          "value": "~25% (50–200 h) and ~22% (200–400 h)",
          "sources": [
            "pensight-preply"
          ],
          "as_of": "2026-09-28",
          "confidence": "D",
          "kind": "reported",
          "note": "Competitor's breakdown; the official tier table is an image"
        }
      ],
      "sources": [
        "pensight-preply",
        "preply-help-commission"
      ],
      "related": [
        "italki",
        "cambly"
      ],
      "leads_to": [
        {
          "id": "paid_community",
          "why": "Your best students want more than lessons: a community and resources around the goal.",
          "curated": true
        },
        {
          "id": "ai_workshops",
          "why": "Uses the same skills: teaching, public speaking.",
          "curated": false
        },
        {
          "id": "youtube_partner",
          "why": "Uses the same skills: teaching, public speaking.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 21.5,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-02-11",
        "days_since_verified": 3,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": [
          344,
          1505
        ],
        "source_tiers": {
          "T5": 1,
          "T1": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "productized_micro_services",
      "name": "Permissionless micro-services (launch videos, design fixes, mobile QA, localized tutorials)",
      "kind": "business_model",
      "category": "ai_services",
      "rung": 3,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "Do a small piece of work for a target before they ask (a launch video, 3 design fixes, a QA report), send it, then sell a monthly retainer.",
      "description": "GitHub-era tools make one-person deliverables cheap: launch-video skills, design-critique skills for coding agents, agents that drive a real phone for QA, local voice/dubbing apps. The sales move is 'do the work first': e.g., make launch videos for Product Hunt launches that have none; send three specific UX fixes to a founder whose pricing page confuses on mobile; offer nightly mobile QA for $100–500/month.",
      "how_it_works": [
        "Pick a tool-enabled deliverable (launch video, UX fixes, mobile QA, localized tutorials)",
        "Find targets who visibly need it (e.g., product launches without a video)",
        "Do the work first and send it",
        "Convert to a monthly retainer"
      ],
      "who_its_for": [
        "creative",
        "developer",
        "freelancer",
        "early_career",
        "student"
      ],
      "skills": [
        "design",
        "ux",
        "video_editing",
        "ai_tools",
        "coding",
        "content_creation"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "small projects → monthly retainers",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          500,
          10000
        ],
        "ceiling": "medium",
        "stability": 2,
        "note": "'10 clients × $1,000/mo = $10k/mo' framing from the source."
      },
      "costs": {
        "startup": [
          0,
          200
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 5,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          45
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 3
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Proof before the pitch",
        "Cheap to deliver with new tools"
      ],
      "cons": [
        "Unpaid spec work if you pick the wrong targets",
        "Easy for others to copy"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Make 5 spec deliverables for well-chosen targets",
        "Follow up with one clear monthly offer"
      ],
      "tips": [
        "Scan agent skills/MCP servers before installing (e.g., NVIDIA's SkillSpector)",
        "Human taste is what clients pay for; tools are commodities"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Offer ideas",
          "value": "Launch videos for Product Hunt launches; design fixes → $1k/mo retainers; mobile QA $100–500/mo; localized onboarding videos with monthly updates",
          "sources": [
            "gi-8-repos",
            "gi-5-repos"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-8-repos",
        "gi-5-repos"
      ],
      "related": [
        "ai_native_service_firm",
        "ugc_creator"
      ],
      "leads_to": [
        {
          "id": "micro_saas",
          "why": "Repeat service work shows you which tool to build.",
          "curated": true
        },
        {
          "id": "expert_archive_tool",
          "why": "Uses the same skills: ai tools, coding, content creation.",
          "curated": false
        },
        {
          "id": "daily_web_game",
          "why": "Uses the same skills: ai tools, coding, content creation.",
          "curated": false
        }
      ],
      "comes_from": [
        "contra",
        "fiverr",
        "oneforma",
        "translation_marketplaces",
        "upwork"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 5250.0,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "prolific",
      "name": "Prolific",
      "kind": "platform",
      "category": "microtasks_research",
      "rung": 1,
      "url": "https://www.prolific.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "A",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 90,
      "one_liner": "Paid academic and commercial studies (surveys, experiments, some AI evaluation) with an enforced minimum hourly rate.",
      "description": "Researchers at universities and companies run studies on Prolific: surveys, experiments and, increasingly, AI-evaluation tasks. Prolific enforces a minimum hourly reward, so even short studies pay fairly. How many studies you see depends on your demographics.",
      "how_it_works": [
        "Sign up and answer the 'About You' screening questions",
        "Eligible studies appear in your dashboard, first come first served",
        "Researchers approve your submission and the reward goes to your balance",
        "Cash out to PayPal"
      ],
      "who_its_for": [
        "student",
        "caregiver_part_time",
        "retiree",
        "early_career",
        "multilingual"
      ],
      "skills": [
        "critical_thinking"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": "Demographic screening; attention checks"
      },
      "availability": {
        "regions": "~50 mostly OECD countries",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "limited",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": "~50 mostly OECD countries"
      },
      "flags": {
        "phone_ok": true,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per study (fixed reward)",
        "advertised": [
          8,
          12,
          "hour",
          "USD"
        ],
        "realistic": [
          8,
          15,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          8,
          15
        ],
        "monthly_potential": null,
        "ceiling": "low",
        "stability": 3,
        "note": "Researchers must pay at least £6/$8 per hour; Prolific recommends £9/$12. Study supply varies by demographic."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "fully async; studies appear unpredictably",
        "first_dollar_days": [
          1,
          14
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Enforced minimum pay",
        "Fast to start",
        "Ethical-review culture"
      ],
      "cons": [
        "Low ceiling",
        "You must catch studies quickly"
      ],
      "red_flags": [],
      "trust_signals": [
        "Enforces a minimum reward of £6/$8 per hour on researchers"
      ],
      "steps": [
        "Answer the profile questions completely and honestly (more answers mean more eligible studies)",
        "Keep the dashboard open or turn on notifications at peak times",
        "Read attention checks carefully"
      ],
      "tips": [
        "Answer screeners consistently; mismatched answers can lead to rejections"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Minimum / recommended pay",
          "value": "£6/$8 per hour minimum; £9/$12 recommended; adjustments forced if average falls below",
          "sources": [
            "prolific-pay"
          ],
          "as_of": "2026-10-14",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Coverage & payout",
          "value": "~50 mostly OECD countries; PayPal",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "prolific-pay",
        "aitrainer-dataset",
        "airankings-guide"
      ],
      "related": [
        "usertesting",
        "clickworker"
      ],
      "leads_to": [
        {
          "id": "newsletter",
          "why": "Low-skill tasks fund the early months of an audience you own.",
          "curated": true
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 11.5,
        "monthly_mid": null,
        "first_dollar_min_days": 1,
        "startup_min": 0,
        "needs_review_by": "2027-01-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": [
          344,
          645
        ],
        "source_tiers": {
          "T1": 1,
          "T3": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "reselling_arbitrage",
      "name": "Local reselling arbitrage with agent alerts",
      "kind": "business_model",
      "category": "commerce",
      "rung": 2,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Have an agent watch Marketplace/classifieds for underpriced cameras, bikes or furniture in your city and alert you; buy low, resell.",
      "description": "Set an agent to watch local marketplaces for mispriced items in a category you know (cameras, bikes, furniture) and alert you; you inspect, buy and resell. It works best when you know the category's prices and common flaws.",
      "how_it_works": [
        "Pick one category you can price confidently",
        "Set alerts or agent searches for underpriced listings",
        "Inspect and buy; clean or repair",
        "Resell with good photos and descriptions"
      ],
      "who_its_for": [
        "student",
        "early_career",
        "sales_person"
      ],
      "skills": [
        "sales",
        "ecommerce",
        "research"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": true,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "resale margin",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          100,
          3000
        ],
        "ceiling": "medium",
        "stability": 2,
        "note": "Source frames it as 'a few hundred dollars a day' potential — treat as optimistic."
      },
      "costs": {
        "startup": [
          100,
          2000
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 5,
        "flexibility": "opportunistic",
        "first_dollar_days": [
          3,
          30
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 1,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 2,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Quick first dollar",
        "Low skill barrier"
      ],
      "cons": [
        "Pickups take time",
        "Margins shrink once others do the same"
      ],
      "red_flags": [
        "Respect marketplace terms on automated access; meet buyers safely; check stolen-goods risk"
      ],
      "trust_signals": [],
      "steps": [
        "Start with one category and a small budget",
        "Track profit per hour, not per item"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Idea",
          "value": "Agent watches FB Marketplace/Craigslist for underpriced items and texts you",
          "sources": [
            "gi-astra-prompts"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-astra-prompts"
      ],
      "related": [
        "niche_ecommerce_brand"
      ],
      "leads_to": [
        {
          "id": "niche_data_refinery",
          "why": "Uses the same skills: sales, research.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 1550.0,
        "first_dollar_min_days": 3,
        "startup_min": 100,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "rev_transcription",
      "name": "Rev (transcription & captions)",
      "kind": "platform",
      "category": "language_services",
      "rung": 1,
      "url": "https://www.rev.com/freelancers",
      "status": {
        "state": "waitlist",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "A",
      "verification": "verified_this_session",
      "last_verified": "2026-10-14",
      "review_every_days": 120,
      "one_liner": "Per-minute transcription and captioning; open applications but a waitlist; AI has compressed this market.",
      "description": "Rev pays per audio or video minute for transcription and captions. Applications are open but there's a waitlist, and AI transcription has compressed demand, so the effective hourly rate is far below what the per-minute rate suggests.",
      "how_it_works": [
        "Apply and pass the skills test",
        "Wait for activation (waitlist)",
        "Claim jobs and transcribe or edit to the style guide",
        "Weekly PayPal payout"
      ],
      "who_its_for": [
        "caregiver_part_time",
        "student"
      ],
      "skills": [
        "transcription",
        "languages",
        "editing"
      ],
      "domains": [],
      "languages": [
        "en (strong)"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "unknown",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": true,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per audio minute",
        "advertised": [
          0.4,
          1.1,
          "audio_minute",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": [
          5,
          15
        ],
        "monthly_potential": null,
        "ceiling": "low",
        "stability": 2,
        "note": "Legal transcription $0.55–2.00+/audio min. Effective hourly is far lower than per-minute suggests."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "fully async",
        "first_dollar_days": [
          14,
          90
        ],
        "ramp": "Assessment + waitlist"
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "declining",
        "note": "Speech-to-text automation reduces human transcription demand; human work shifts to review/QA."
      },
      "pros": [
        "Flexible, async work",
        "Weekly PayPal payouts"
      ],
      "cons": [
        "Waitlist",
        "Low effective hourly pay",
        "AI is replacing much of the work"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Learn the style guide before taking the test"
      ],
      "tips": [
        "Use it as a bridge to multilingual AI-evaluation roles, which pay more"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pay & payout",
          "value": "$0.40–1.10 per audio/video minute (legal $0.55–2.00+); weekly PayPal; waitlist due to volume",
          "sources": [
            "rev-transcription"
          ],
          "as_of": "2026-10-14",
          "confidence": "A",
          "kind": "official",
          "note": ""
        }
      ],
      "sources": [
        "rev-transcription",
        "chatgpt-dr-2"
      ],
      "related": [
        "oneforma",
        "rws_trainai"
      ],
      "leads_to": [
        {
          "id": "content_engine_service",
          "why": "Fast, accurate transcription is step one of turning interviews into content.",
          "curated": true
        },
        {
          "id": "translation_marketplaces",
          "why": "Uses the same skills: languages, editing.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 10.0,
        "monthly_mid": null,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2027-02-11",
        "days_since_verified": 3,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": [
          215,
          645
        ],
        "source_tiers": {
          "T1": 1,
          "T5": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "rws_trainai",
      "name": "RWS TrainAI",
      "kind": "platform",
      "category": "language_services",
      "rung": 1,
      "url": "https://www.rws.com/artificial-intelligence/train-ai-data-services/",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "Localization giant's AI-data community: multilingual annotation and evaluation tasks.",
      "description": "RWS, a large localization company, runs the TrainAI community for multilingual AI-data work: annotation, evaluation and data collection. The median listed rate was $16/h in October 2026.",
      "how_it_works": [],
      "who_its_for": [
        "multilingual"
      ],
      "skills": [
        "languages",
        "translation"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "unknown",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per task",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": [
          10,
          20
        ],
        "monthly_potential": null,
        "ceiling": "low",
        "stability": 2,
        "note": "Median listed $16/h (n=62)."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          30
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Multilingual focus",
        "Established parent company"
      ],
      "cons": [
        "Modest pay"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "List every language and dialect you speak natively"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pay & payout",
          "value": "Median $16/h (n=62); per task via PayPal/bank",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-dataset"
      ],
      "related": [
        "oneforma"
      ],
      "leads_to": [
        {
          "id": "translation_marketplaces",
          "why": "Uses the same skills: languages, translation.",
          "curated": false
        },
        {
          "id": "upwork",
          "why": "Uses the same skills: translation.",
          "curated": false
        },
        {
          "id": "fiverr",
          "why": "Uses the same skills: translation.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 15.0,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": [
          430,
          860
        ],
        "source_tiers": {
          "T3": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "sme_careers",
      "name": "SME Careers",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": null,
      "status": {
        "state": "needs_verification",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "seeded_needs_verification",
      "last_verified": "2026-10-13",
      "review_every_days": 30,
      "one_liner": "Subject-matter-expert contracting for AI projects with weekly Deel payouts (263 roles tracked Oct 2026).",
      "description": "Subject-matter-expert contracting for AI projects. 263 roles were tracked in October 2026, with weekly payouts via Deel. Pay and eligibility have not been verified yet.",
      "how_it_works": [],
      "who_its_for": [
        "professional",
        "phd_academic"
      ],
      "skills": [
        "research",
        "writing",
        "math",
        "coding"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "limited",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": "Deel-supported countries"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": [
          25,
          80
        ],
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 2,
        "note": "Pay not captured in dataset; estimate pending verification."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          30
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Many open expert roles (263 tracked)",
        "Weekly payouts via Deel (reported)"
      ],
      "cons": [
        "Pay and eligibility not yet verified"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Verify the company, rates and contract terms on its official site before applying"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Listings & payout",
          "value": "263 roles; weekly via Deel",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-dataset"
      ],
      "related": [],
      "leads_to": [
        {
          "id": "niche_data_refinery",
          "why": "Uses the same skills: research, coding.",
          "curated": false
        },
        {
          "id": "fde_career",
          "why": "Uses the same skills: coding.",
          "curated": false
        },
        {
          "id": "ai_automation_specialist_job",
          "why": "Uses the same skills: coding.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 52.5,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2026-11-12",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": [
          1075,
          3440
        ],
        "source_tiers": {
          "T3": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "stellar_ai",
      "name": "Stellar AI (closed)",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": null,
      "status": {
        "state": "closed",
        "note": "Keep as a historical entry so users understand platform churn.",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Once rated top-tier by the community for consistent pay; listed as closed in October 2026.",
      "description": "Rated top-tier by community trackers for consistent pay ($18–25/h, weekly PayPal) until it closed in October 2026. Kept here as a reminder that platforms disappear.",
      "how_it_works": [],
      "who_its_for": [],
      "skills": [],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "unknown",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
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        "schedule_bound": false
      },
      "earnings": {
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        "advertised": null,
        "realistic": [
          18,
          25,
          "hour",
          "USD"
        ],
        "hourly_equiv": null,
        "monthly_potential": null,
        "ceiling": "low",
        "stability": 1,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          30
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 0,
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        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [],
      "cons": [],
      "red_flags": [],
      "trust_signals": [],
      "steps": [],
      "tips": [
        "Never depend on a single platform; keep 2–3 active"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Status",
          "value": "Closed Oct 2026",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Former rating",
          "value": "S-tier, $18–25/h, weekly PayPal",
          "sources": [
            "breakeven-tier"
          ],
          "as_of": "2026-09-14",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-dataset",
        "breakeven-tier"
      ],
      "related": [],
      "leads_to": [],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": null,
        "source_tiers": {
          "T3": 1,
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "synthesia_actor",
      "name": "AI avatar acting (Synthesia and similar)",
      "kind": "platform",
      "category": "licensing_likeness",
      "rung": 2,
      "url": "https://www.synthesia.io",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Actors license their likeness to avatar companies for a flat fee (Synthesia: 3-year licence; equity pool for popular avatars).",
      "description": "AI video companies such as Synthesia license actors' likenesses as stock avatars. Synthesia's terms: a 3-year licence for a flat fee; opting out deletes the avatar; stock avatars can't be used in paid social ads; and a $1M share pool rewarded select popular actors.",
      "how_it_works": [
        "Apply through the company's talent program or your agency",
        "Do a studio shoot",
        "Sign a likeness licence (scope, duration, opt-out)",
        "Receive the flat fee; equity or bonuses only in special programs"
      ],
      "who_its_for": [
        "actor_model",
        "creative"
      ],
      "skills": [
        "acting",
        "modeling",
        "voice"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": "Studio shoot; agency representation common; consent & usage terms negotiated"
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "unknown",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "flat fee per licence (+ equity for select actors at Synthesia)",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 1,
        "note": "Fee amounts not published; Synthesia created a $1M share pool for select popular stock-avatar actors."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "one shoot, multi-year licence",
        "first_dollar_days": [
          30,
          120
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 3,
        "sales": 0,
        "audience": 0,
        "on_camera": 2,
        "people_facing": 0,
        "creativity": 2
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "One shoot pays for a multi-year licence",
        "Clear opt-out at Synthesia"
      ],
      "cons": [
        "Your face may appear in content for years",
        "Can conflict with commercial exclusivity / brand work"
      ],
      "red_flags": [
        "Read usage rights carefully: who can use the avatar, for what, for how long, opt-out terms"
      ],
      "trust_signals": [],
      "steps": [
        "Have an agent or lawyer review the usage scope before signing",
        "Check for conflicts with existing brand exclusivity"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Synthesia terms",
          "value": "Actors license likeness for 3 years for a flat fee; can opt out (avatar deleted); stock avatars not allowed in paid social ads; $1M share pool for select actors",
          "sources": [
            "synthesia-talent"
          ],
          "as_of": "2025-03-25",
          "confidence": "A",
          "kind": "official",
          "note": ""
        }
      ],
      "sources": [
        "synthesia-talent"
      ],
      "related": [
        "elevenlabs_voice",
        "ugc_creator"
      ],
      "leads_to": [
        {
          "id": "elevenlabs_voice",
          "why": "Uses the same skills: acting, voice.",
          "curated": false
        },
        {
          "id": "tiktok_creator",
          "why": "Uses the same skills: acting.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": null,
        "first_dollar_min_days": 30,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": null,
        "source_tiers": {
          "T1": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "telus_ai",
      "name": "TELUS Digital AI Community",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://www.telusdigital.com/careers/ai-community",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 60,
      "one_liner": "Long-running rater and data projects (search/ads rating, local-language evaluation); low but steady pay in 100+ countries.",
      "description": "TELUS Digital's AI Community runs long-term rater and data projects: search and ads rating, map and local-language evaluation. Pay is low, but projects can run for years and cover 100+ countries.",
      "how_it_works": [
        "Apply to a project for your country and language",
        "Pass the qualification exam (it can be long)",
        "Work within the project's weekly minimum and maximum hours",
        "Paid monthly"
      ],
      "who_its_for": [
        "multilingual",
        "caregiver_part_time",
        "student",
        "retiree"
      ],
      "skills": [
        "languages",
        "research",
        "critical_thinking"
      ],
      "domains": [],
      "languages": [
        "local language + English often required"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "100+ countries; set per role and country",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "limited",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": "100+ countries, per role"
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": true,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly",
        "advertised": null,
        "realistic": [
          8,
          17,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          8,
          17
        ],
        "monthly_potential": null,
        "ceiling": "low",
        "stability": 4,
        "note": "Median listed $10/h; US ~$14–17/h; projects often run for years."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 5,
        "flexibility": "async with weekly min/max hours",
        "first_dollar_days": [
          21,
          60
        ],
        "ramp": "Qualification exam can be long"
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Stable multi-year projects",
        "Good fit for native speakers of less-served languages"
      ],
      "cons": [
        "Low hourly rate",
        "Monthly pay",
        "Low ratings on Trustpilot (1.2/5 per July 2026 snapshot)"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Choose projects in your native language and country",
        "Study the guidelines thoroughly before the exam",
        "Keep your hours consistent; quality and productivity are tracked"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pay",
          "value": "Median listed $10/h (n=129)",
          "sources": [
            "aitrainer-dataset"
          ],
          "as_of": "2026-10-12",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Pay & rating snapshot",
          "value": "$10–20/h (US ~$14–17), monthly; Trustpilot 1.2/5",
          "sources": [
            "airankings-guide"
          ],
          "as_of": "2026-08-16",
          "confidence": "C",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-dataset",
        "airankings-guide",
        "breakeven-july"
      ],
      "related": [
        "appen_crowdgen",
        "oneforma"
      ],
      "leads_to": [],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 12.5,
        "monthly_mid": null,
        "first_dollar_min_days": 21,
        "startup_min": 0,
        "needs_review_by": "2026-12-12",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": [
          344,
          731
        ],
        "source_tiers": {
          "T3": 2,
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "tiktok_creator",
      "name": "TikTok Creator Rewards & Shop affiliate",
      "kind": "platform",
      "category": "creator_audience",
      "rung": 4,
      "url": "https://www.tiktok.com/creators",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 90,
      "one_liner": "Pays ~$0.40–1.00 per 1,000 qualified views on 1-min+ videos (10k followers) in 8 countries; Shop affiliate 5–20% commissions.",
      "description": "TikTok's Creator Rewards Program pays for qualified views on original videos longer than one minute (~$0.40–1.00 per 1,000; 10k followers and 100k views in 30 days required) in eight countries. TikTok Shop affiliate pays 5–20% commissions.",
      "how_it_works": [
        "Grow to eligibility (10k followers, 100k views in 30 days)",
        "Enroll in Creator Rewards (eligible countries only)",
        "Post original videos longer than one minute",
        "Add Shop affiliate products (from 1k followers in the US)"
      ],
      "who_its_for": [
        "creator",
        "creative",
        "actor_model"
      ],
      "skills": [
        "content_creation",
        "video",
        "social_media",
        "acting"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "Creator Rewards: US, UK, DE, FR, JP, KR, MX, BR (per 2026 guide)",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "allowlist",
        "countries": [
          "US",
          "GB",
          "DE",
          "FR",
          "JP",
          "KR",
          "MX",
          "BR"
        ],
        "excluded": [],
        "requires_work_auth": null,
        "note": "Creator Rewards; other monetization differs"
      },
      "flags": {
        "phone_ok": true,
        "social_posting": true,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "views-based + affiliate commission",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          2000
        ],
        "ceiling": "high",
        "stability": 1,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 5,
        "flexibility": "async",
        "first_dollar_days": [
          60,
          365
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 2,
        "people_facing": 0,
        "creativity": 3
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Fast reach for new accounts",
        "Shop commissions don't need a huge audience"
      ],
      "cons": [
        "Creator Rewards only in 8 countries",
        "Low RPM"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Pick a niche and a repeatable format",
        "Post daily for 30 days and track views per post"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Creator Rewards requirements",
          "value": "18+, at least 10k followers and 100k views in the last 30 days, personal account in good standing; rewards original videos longer than 1 minute",
          "sources": [
            "tiktok-newsroom-crp",
            "postfast-tiktok"
          ],
          "as_of": "2026-07-02",
          "confidence": "B",
          "kind": "official",
          "note": "Official announcement is from 2024-03-18; a 2026 guide reports the same thresholds"
        },
        {
          "claim": "Pay rate and countries (third party)",
          "value": "~$0.40–1.00 per 1,000 qualified views; available in US, UK, DE, FR, JP, KR, MX, BR",
          "sources": [
            "postfast-tiktok"
          ],
          "as_of": "2026-07-02",
          "confidence": "D",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "TikTok Shop affiliate",
          "value": "Apply with 1k followers (US); commissions typically 5–20%",
          "sources": [
            "postfast-tiktok"
          ],
          "as_of": "2026-07-02",
          "confidence": "D",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "postfast-tiktok",
        "tiktok-newsroom-crp"
      ],
      "related": [
        "youtube_partner",
        "ugc_creator"
      ],
      "leads_to": [],
      "comes_from": [
        "synthesia_actor",
        "ugc_creator"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 1000.0,
        "first_dollar_min_days": 60,
        "startup_min": 0,
        "needs_review_by": "2027-01-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 3,
        "monthly_at_10h": null,
        "source_tiers": {
          "T5": 1,
          "T1": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "topic_media_page",
      "name": "Topic page / faceless media brand",
      "kind": "business_model",
      "category": "data_assets",
      "rung": 4,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Instead of a personal brand, run a themed account (e.g., growth tactics, passive income memes) that funnels to your products or services.",
      "description": "'Audience → Community → Product' (ACP): advertisers can pay you to build the audience; then build what the audience asks for. Example: Julian Shapiro's @GrowthTactics feeding his agency/products. Agents can draft and schedule; humans pick and remix winners.",
      "how_it_works": [
        "Pick a theme your target buyers follow",
        "Post regularly with agent-drafted, human-picked content",
        "Build community (newsletter, group)",
        "Launch products or services the audience asks for"
      ],
      "who_its_for": [
        "creator",
        "marketer",
        "creative"
      ],
      "skills": [
        "social_media",
        "content_creation",
        "copywriting",
        "design"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": true,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "sponsors, affiliate, own products",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          5000
        ],
        "ceiling": "high",
        "stability": 2,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 5,
        "flexibility": "async",
        "first_dollar_days": [
          60,
          365
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 3
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Not tied to your face",
        "Can be sold",
        "Feeds your other businesses"
      ],
      "cons": [
        "Slow to build",
        "Algorithm risk"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Start one account on one channel",
        "Repurpose winners across channels"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "ACP funnel",
          "value": "Audience → Community → Product; ad costs rose from ~5¢ CPC (2009) to $1–5 now, so owned audiences matter",
          "sources": [
            "gi-13-businesses"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-13-businesses",
        "gi-marketing-agents-2"
      ],
      "related": [
        "newsletter",
        "affiliate_content"
      ],
      "leads_to": [],
      "comes_from": [
        "clipping",
        "content_engine_service",
        "ugc_creator"
      ],
      "landscape": {
        "cases_total": 1,
        "cases_12m": 1,
        "latest_case": "2026-02-23",
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "thin"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 2500.0,
        "first_dollar_min_days": 60,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": null,
        "source_tiers": {
          "T4": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "toptal",
      "name": "Toptal",
      "kind": "platform",
      "category": "freelance_marketplaces",
      "rung": 2,
      "url": "https://www.toptal.com",
      "status": {
        "state": "needs_verification",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "seeded_needs_verification",
      "last_verified": "2026-10-13",
      "review_every_days": 60,
      "one_liner": "Screening-heavy network for senior developers, designers and finance experts; few get in, rates are premium.",
      "description": "Toptal screens senior developers, designers, finance experts and project managers in several stages; accepted talent is matched to long-term client contracts at premium rates. Acceptance is selective.",
      "how_it_works": [],
      "who_its_for": [
        "developer",
        "senior_professional",
        "engineer"
      ],
      "skills": [
        "software_engineering",
        "design",
        "finance",
        "project_management"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "senior",
        "credentials": [],
        "technical": 3,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": "Multi-stage screening (language, live coding/portfolio, test project)"
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": true,
        "schedule_bound": true
      },
      "earnings": {
        "model": "hourly / long-term contracts",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": [
          60,
          150
        ],
        "monthly_potential": null,
        "ceiling": "high",
        "stability": 4,
        "note": "Premium rates reported $60–150+/h (needs verification)."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 20,
        "flexibility": "client-scheduled",
        "first_dollar_days": [
          30,
          120
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 5,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 2,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Premium rates",
        "Long-term clients"
      ],
      "cons": [
        "Demanding screening",
        "Hours are often set by the client"
      ],
      "red_flags": [
        "ChatGPT research claimed '$225M VC funding' — unverified/likely wrong (Toptal is widely described as bootstrapped)"
      ],
      "trust_signals": [],
      "steps": [
        "Prepare for live technical or portfolio screening",
        "Have 2–3 strong references ready"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Unverified funding claim (AI report)",
          "value": "'$225M VC funding' per a ChatGPT research report; not confirmed — Toptal is widely described as bootstrapped",
          "sources": [
            "chatgpt-dr-3"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "claim",
          "note": "Kept to document an AI-research error; do not publish as fact."
        }
      ],
      "sources": [
        "chatgpt-dr-3"
      ],
      "related": [
        "upwork",
        "fde_career"
      ],
      "leads_to": [
        {
          "id": "vertical_agent_service",
          "why": "Uses the same skills: software engineering.",
          "curated": false
        },
        {
          "id": "agent_conversion_agency",
          "why": "Uses the same skills: software engineering.",
          "curated": false
        },
        {
          "id": "plugins_extensions",
          "why": "Uses the same skills: software engineering.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 105.0,
        "monthly_mid": null,
        "first_dollar_min_days": 30,
        "startup_min": 0,
        "needs_review_by": "2026-12-12",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": [
          2580,
          6450
        ],
        "source_tiers": {
          "T5": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "translation_marketplaces",
      "name": "Translation marketplaces (Gengo, Smartcat, ProZ …)",
      "kind": "platform",
      "category": "language_services",
      "rung": 2,
      "url": null,
      "status": {
        "state": "needs_verification",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "seeded_needs_verification",
      "last_verified": "2026-10-13",
      "review_every_days": 90,
      "one_liner": "Per-word translation work; still viable for specialised (legal, medical) and post-editing, shrinking for generic text.",
      "description": "Per-word translation marketplaces (e.g., Gengo, Smartcat, ProZ) still pay for specialised domains (legal, medical, technical) and for post-editing machine translation, while generic text work keeps shrinking.",
      "how_it_works": [],
      "who_its_for": [
        "multilingual"
      ],
      "skills": [
        "translation",
        "languages",
        "editing",
        "law",
        "medicine"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per word",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": [
          10,
          40
        ],
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 2,
        "note": ""
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          30
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "declining",
        "note": "Machine translation absorbs generic work; human value moves to post-editing, transcreation and certified/specialist translation."
      },
      "pros": [
        "Specialised domains still pay"
      ],
      "cons": [
        "Generic translation is heavily automated"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Specialise in one domain and offer machine-translation post-editing"
      ],
      "tips": [
        "Multilingual AI-evaluation roles often pay more than generic translation"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [],
      "sources": [
        "chatgpt-dr-2",
        "mgmtsci-genai-freelance"
      ],
      "related": [
        "mercor",
        "telus_ai"
      ],
      "leads_to": [
        {
          "id": "productized_micro_services",
          "why": "Sell localization as a monthly package instead of per word.",
          "curated": true
        }
      ],
      "comes_from": [
        "alignerr",
        "micro1",
        "oneforma",
        "rev_transcription",
        "rws_trainai"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 25.0,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-01-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 0,
        "monthly_at_10h": [
          430,
          1720
        ],
        "source_tiers": {
          "T5": 1,
          "T2": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "turing",
      "name": "Turing",
      "kind": "platform",
      "category": "ai_training",
      "rung": 1,
      "url": "https://www.turing.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 45,
      "one_liner": "AGI-infrastructure company hiring contractors (mostly engineers, increasingly other domains) for lab projects; often needs PST overlap.",
      "description": "Turing hires contractors for AI labs' coding, reasoning and domain projects. Rates aren't published (estimated $30–90/h by field). Hiring uses timed assessments and usually a video interview, and most projects want partial overlap with US Pacific time and about 20 h/week.",
      "how_it_works": [
        "Apply, then take timed coding or analytical/writing assessments",
        "Video interview (required in ~85% of listings that state a policy)",
        "Get matched to a client project; the rate is revealed in the offer",
        "Paid every two weeks by bank transfer (reported)"
      ],
      "who_its_for": [
        "developer",
        "engineer",
        "professional",
        "phd_academic"
      ],
      "skills": [
        "software_engineering",
        "coding",
        "data_science",
        "math",
        "writing"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "varies",
        "experience": "",
        "credentials": [],
        "technical": 2,
        "equipment": [
          "computer",
          "camera for video interview"
        ],
        "kyc": false,
        "age": 18,
        "other": "Timed coding tests / analytical + writing assessments; 85% of listings with a stated policy require a video interview"
      },
      "availability": {
        "regions": "global (no list published)",
        "excluded": [],
        "work_auth": "",
        "note": "Most contracts ask for ~4h daily PST overlap and ~20h/week minimum."
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": true,
        "schedule_bound": true
      },
      "earnings": {
        "model": "hourly (rates revealed in offer)",
        "advertised": null,
        "realistic": [
          25,
          90,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          25,
          90
        ],
        "monthly_potential": null,
        "ceiling": "medium",
        "stability": 2,
        "note": "No published rates; estimates $30–90/h by field."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 20,
        "flexibility": "partly_scheduled (PST overlap)",
        "first_dollar_days": [
          14,
          28
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 3,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 1,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Larger, steadier contracts (often 20+ h/week)",
        "Strong fit for software engineers",
        "You see the rate before accepting"
      ],
      "cons": [
        "Profiles can sit 'assigned to client' for weeks",
        "Evening work outside the Americas",
        "No published rates"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Practise timed coding problems before the assessment",
        "Confirm you can cover the required PST overlap before applying",
        "Keep your profile current while it's 'assigned to client'"
      ],
      "tips": [
        "Ask for the rate and weekly hours in writing before onboarding"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Hiring & schedule",
          "value": "Assessments + video interview; 85 of 125 listings require partial PST overlap; typical 20h/week minimum",
          "sources": [
            "aitrainer-turing"
          ],
          "as_of": "2026-10-01",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Trustpilot",
          "value": "2.5 across 201 reviews (Sept 2026)",
          "sources": [
            "aitrainer-turing"
          ],
          "as_of": "2026-10-01",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "aitrainer-turing",
        "aitrainer-dataset"
      ],
      "related": [
        "mercor",
        "afterquery"
      ],
      "leads_to": [
        {
          "id": "upwork",
          "why": "Uses the same skills: software engineering, data science, writing.",
          "curated": false
        },
        {
          "id": "malt",
          "why": "Uses the same skills: software engineering, data science.",
          "curated": false
        },
        {
          "id": "fde_career",
          "why": "Uses the same skills: software engineering, coding.",
          "curated": false
        }
      ],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 57.5,
        "monthly_mid": null,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2026-11-27",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 2,
        "monthly_at_10h": [
          1075,
          3870
        ],
        "source_tiers": {
          "T3": 2
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "uber_digital_tasks",
      "name": "Uber Digital Tasks (pilot)",
      "kind": "platform",
      "category": "microtasks_research",
      "rung": 1,
      "url": null,
      "status": {
        "state": "pilot",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 90,
      "one_liner": "Uber pays opted-in US drivers for small AI-data tasks between trips (voice recordings, menus, photos).",
      "description": "Uber's AI-data pilot pays opted-in US drivers for small tasks between trips: recording phrases in their language or accent, entering documents, uploading menus or photos (a menu upload pays up to $1).",
      "how_it_works": [],
      "who_its_for": [
        "multilingual",
        "caregiver_part_time"
      ],
      "skills": [
        "languages",
        "photography"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "US pilot (Uber AI Solutions; other markets via waitlist)",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "allowlist",
        "countries": [
          "US"
        ],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": true,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per task",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          200
        ],
        "ceiling": "low",
        "stability": 2,
        "note": "Example: menu upload up to $1."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async",
        "first_dollar_days": [
          7,
          30
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 0,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "Uses idle time between trips",
        "No new platform for existing drivers"
      ],
      "cons": [
        "Pilot only, for US drivers",
        "Small per-task amounts"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Watch the driver app for the opt-in (pilot rollout)"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Program",
          "value": "Opt-in pilot for US drivers; tasks: audio in languages/accents, document entry, photos; menu upload up to $1",
          "sources": [
            "fortune-uber-tasks"
          ],
          "as_of": "2025-10-17",
          "confidence": "A",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "fortune-uber-tasks",
        "aitrainer-dataset"
      ],
      "related": [],
      "leads_to": [],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": null,
        "monthly_mid": 100.0,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-01-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": null,
        "source_tiers": {
          "T2": 1,
          "T3": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "ugc_creator",
      "name": "UGC creator (paid content for brands)",
      "kind": "platform",
      "category": "licensing_likeness",
      "rung": 2,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 120,
      "one_liner": "Film short authentic-looking videos for brands' ads and social — no audience required; usage rights and whitelisting are extra.",
      "description": "Brands pay creators to film short, authentic-looking videos for ads and social media, and no audience is required. You're paid per video, with usage rights, whitelisting/Spark Ads and hook variations priced on top.",
      "how_it_works": [],
      "who_its_for": [
        "actor_model",
        "creative",
        "creator",
        "early_career"
      ],
      "skills": [
        "content_creation",
        "video",
        "acting",
        "video_editing",
        "social_media"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": true,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per video + usage add-ons",
        "advertised": [
          100,
          500,
          "video",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": [
          25,
          100
        ],
        "monthly_potential": [
          300,
          5000
        ],
        "ceiling": "medium",
        "stability": 2,
        "note": "Median ~$175/video; typical $150–300; usage rights +30–50%; whitelisting/Spark Ads +30%/month; hook variations ~$50 each."
      },
      "costs": {
        "startup": [
          0,
          300
        ],
        "fees": "",
        "tools": "Phone, light, mic"
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async with deadlines",
        "first_dollar_days": [
          7,
          45
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 2,
        "audience": 0,
        "on_camera": 2,
        "people_facing": 0,
        "creativity": 3
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "No audience needed",
        "Fast first dollar via spec videos",
        "Add-ons (usage, whitelisting, hooks) raise order value"
      ],
      "cons": [
        "Competitive: brands judge you on samples",
        "Usage terms get complicated"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Shoot 3 spec videos for products you own",
        "Build a simple portfolio page",
        "Pitch brands directly or join UGC marketplaces (commissions 10–50%)",
        "Always price usage rights separately"
      ],
      "tips": [
        "Price paid-ad usage rights separately (+30–50%)",
        "Offer hook variations as an upsell (~$50 each)"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Rate benchmarks",
          "value": "Median ~$175/video; $150–300 typical; beginners ~$100; seasoned $500+",
          "sources": [
            "influee-ugc"
          ],
          "as_of": "2026-10-13",
          "confidence": "D",
          "kind": "claim",
          "note": "From a UGC marketplace"
        },
        {
          "claim": "Second benchmark",
          "value": "~€180 average base price per video; brands willing to pay ~€320 for brief-compliant content (March 2024 study)",
          "sources": [
            "influence4you-ugc"
          ],
          "as_of": "2026-01-18",
          "confidence": "D",
          "kind": "claim",
          "note": "Influencer-platform content; older study"
        },
        {
          "claim": "What app founders pay (self-reported)",
          "value": "Fully scripted simple formats: often ≤$20 per video; micro-creators tested at ~$100 for 10 videos; big influencers charged thousands per video",
          "sources": [
            "ss-s-20-per-video",
            "ss-t-abmax"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "community",
          "note": ""
        }
      ],
      "sources": [
        "influee-ugc",
        "gi-tjmaxx-app",
        "influence4you-ugc",
        "ss-s-20-per-video",
        "ss-t-abmax"
      ],
      "related": [
        "synthesia_actor",
        "fiverr"
      ],
      "leads_to": [
        {
          "id": "ai_mobile_app",
          "why": "App founders pay creators because formats drive downloads; you'll know which formats work before you build.",
          "curated": true
        },
        {
          "id": "topic_media_page",
          "why": "The same filming skills grow a themed page you own.",
          "curated": true
        },
        {
          "id": "tiktok_creator",
          "why": "Uses the same skills: content creation, video, acting.",
          "curated": false
        }
      ],
      "comes_from": [
        "clipping"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 62.5,
        "monthly_mid": 2650.0,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-02-10",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 3,
        "monthly_at_10h": [
          1075,
          4300
        ],
        "source_tiers": {
          "T5": 2,
          "T4": 3
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "upwork",
      "name": "Upwork",
      "kind": "platform",
      "category": "freelance_marketplaces",
      "rung": 2,
      "url": "https://www.upwork.com",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "A",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 90,
      "one_liner": "The biggest general freelance marketplace; variable 0–15% fee, paid bids ('Connects'), strong demand for AI-augmented services.",
      "description": "Clients post jobs; you bid with Connects. Fees are shown before you propose. Upwork's own research shows freelancers who use AI earn 34% more per hour, while simple AI-replaceable execution work is shrinking.",
      "how_it_works": [],
      "who_its_for": [
        "freelancer",
        "professional",
        "developer",
        "marketer",
        "creative",
        "multilingual",
        "career_changer"
      ],
      "skills": [
        "writing",
        "copywriting",
        "design",
        "video_editing",
        "software_engineering",
        "data_science",
        "marketing",
        "seo",
        "automation",
        "no_code",
        "ai_tools",
        "translation",
        "customer_support",
        "accounting",
        "project_management"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global except sanctioned countries",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [
          "CU",
          "IR",
          "KP",
          "SY"
        ],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "hourly or fixed-price contracts",
        "advertised": null,
        "realistic": [
          15,
          150,
          "hour",
          "USD"
        ],
        "hourly_equiv": [
          15,
          150
        ],
        "monthly_potential": null,
        "ceiling": "high",
        "stability": 3,
        "note": "Your own rate; entry-level small jobs are competitive. AI automation (n8n) freelancers commonly $40–100/h; senior agent/API integration $125–250+/h (reported)."
      },
      "costs": {
        "startup": [
          0,
          240
        ],
        "fees": "Service fee 0–15% (shown upfront); direct contracts 5% (Basic) / 0% (Plus)",
        "tools": "Freelancer Plus $19.99/mo optional; extra Connects $0.15 each"
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async + client calls",
        "first_dollar_days": [
          7,
          60
        ],
        "ramp": "First reviews are the bottleneck"
      },
      "profile": {
        "risk": 2,
        "skill_barrier": 2,
        "sales": 2,
        "audience": 0,
        "on_camera": 0,
        "people_facing": 2,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "shifting",
        "note": "Upwork FWI 2026: AI execution-task earnings -28% YoY; AI-augmented professional services +22%; genAI/creative contract starts +90% but per-contract earnings -13%. Writing/coding post volume fell 21% within 8 months of ChatGPT (Management Science 2025)."
      },
      "pros": [
        "Massive demand",
        "Escrow / payment protection",
        "AI-related work growing fast"
      ],
      "cons": [
        "Paid bidding",
        "Race to the bottom on small jobs",
        "Fees on small contracts"
      ],
      "red_flags": [
        "Clients who want to move chat or payment off-platform before a contract: a classic scam pattern (and against Upwork rules)"
      ],
      "trust_signals": [],
      "steps": [
        "Niche your profile (one service, one buyer type)",
        "Bid on small fixed-price jobs to earn first reviews",
        "Productize: offer 2–3 clear packages",
        "Move repeat clients to direct contracts (5%/0%)"
      ],
      "tips": [
        "Open each proposal by restating the client's problem in one sentence, then show one relevant sample",
        "AI-augmented services are growing while pure execution work shrinks; position yourself as 'X with AI'"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Freelancer fee",
          "value": "0–15% variable, shown before proposal; direct contracts 5% Basic / 0% Plus",
          "sources": [
            "upwork-fees"
          ],
          "as_of": "2026-07-23",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "Connects & plans",
          "value": "Basic 10 Connects/mo; Plus $19.99/mo with 100; extra Connects $0.15",
          "sources": [
            "upwork-fees"
          ],
          "as_of": "2026-07-23",
          "confidence": "A",
          "kind": "official",
          "note": ""
        },
        {
          "claim": "AI premium",
          "value": "AI-using freelancers earn 34% more per hour",
          "sources": [
            "upwork-fwi-2026"
          ],
          "as_of": "2026-07-14",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "AI automation rates",
          "value": "n8n specialists $40–100/h; senior AI agent/API $125–250+/h",
          "sources": [
            "layer3-automation"
          ],
          "as_of": "2026-09-02",
          "confidence": "C",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "upwork-fees",
        "upwork-fwi-2026",
        "mgmtsci-genai-freelance",
        "layer3-automation"
      ],
      "related": [
        "fiverr",
        "malt",
        "contra",
        "ai_tools_assessment"
      ],
      "leads_to": [
        {
          "id": "productized_micro_services",
          "why": "Turn the gig you keep repeating into a fixed-price package you sell directly.",
          "curated": true
        },
        {
          "id": "ai_automation_builds",
          "why": "AI-automation gigs on Upwork are the cheapest way to collect case studies for your own offer.",
          "curated": true
        },
        {
          "id": "micro_saas",
          "why": "Uses the same skills: software engineering, marketing, seo.",
          "curated": false
        }
      ],
      "comes_from": [
        "oneforma",
        "rws_trainai",
        "turing"
      ],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 82.5,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2027-01-11",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 4,
        "monthly_at_10h": [
          645,
          6450
        ],
        "source_tiers": {
          "T1": 1,
          "T2": 2,
          "T4": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "user_interviews_respondent",
      "name": "User Interviews / Respondent (paid research interviews)",
      "kind": "platform",
      "category": "microtasks_research",
      "rung": 1,
      "url": "https://www.respondent.io",
      "status": {
        "state": "needs_verification",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "D",
      "verification": "seeded_needs_verification",
      "last_verified": "2026-10-13",
      "review_every_days": 30,
      "one_liner": "Paid 30–60 min research interviews where companies want your professional profile; incentives are high but invitations are irregular.",
      "description": "Platforms such as User Interviews and Respondent recruit professionals and consumers for paid research interviews, often 30–60 minutes. Incentives can be high for in-demand B2B profiles, but invitations are irregular. The amounts here still need verification.",
      "how_it_works": [],
      "who_its_for": [
        "professional",
        "senior_professional",
        "developer",
        "marketer"
      ],
      "skills": [
        "critical_thinking"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "unknown",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": true
      },
      "earnings": {
        "model": "per session incentive",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": [
          50,
          150
        ],
        "monthly_potential": null,
        "ceiling": "low",
        "stability": 1,
        "note": "Typical B2B interview incentives reported at ~$50–150 per hour-long session (needs verification)."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "scheduled sessions",
        "first_dollar_days": [
          7,
          60
        ],
        "ramp": ""
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 1,
        "people_facing": 2,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "High per-session incentives for in-demand professions"
      ],
      "cons": [
        "Irregular invitations",
        "Amounts not yet verified"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Create profiles with your accurate job title, industry and the tools you use",
        "Apply only to studies that match your real profile; screeners check consistency"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [],
      "sources": [],
      "related": [
        "usertesting",
        "expert_networks"
      ],
      "leads_to": [],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 100.0,
        "monthly_mid": null,
        "first_dollar_min_days": 7,
        "startup_min": 0,
        "needs_review_by": "2026-11-12",
        "days_since_verified": 4,
        "overdue": false,
        "fact_count": 0,
        "monthly_at_10h": [
          2150,
          6450
        ],
        "source_tiers": {},
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "usertesting",
      "name": "UserTesting (Contributor Network)",
      "kind": "platform",
      "category": "microtasks_research",
      "rung": 1,
      "url": "https://www.usertesting.com/get-paid-to-test",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
      "verification": "partially_verified",
      "last_verified": "2026-10-14",
      "review_every_days": 90,
      "one_liner": "Get paid to think aloud while testing websites and apps; live conversations pay more.",
      "description": "UserTesting's contributor network pays you to think aloud while you use websites and apps (screen and voice recorded), plus occasional live interviews. Each test has screener questions, and payment arrives by PayPal 14 days after the test.",
      "how_it_works": [
        "Sign up and complete a practice test",
        "Answer the screener questions for each available test",
        "Record your screen and voice while completing the tasks",
        "Get paid via PayPal 14 days later"
      ],
      "who_its_for": [
        "student",
        "early_career",
        "professional",
        "caregiver_part_time"
      ],
      "skills": [
        "critical_thinking",
        "ux",
        "writing"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 0,
        "equipment": [
          "computer or phone",
          "microphone",
          "sometimes webcam"
        ],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "unknown",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": true,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "per test",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": [
          10,
          30
        ],
        "monthly_potential": null,
        "ceiling": "low",
        "stability": 2,
        "note": "Reward shown per test in your feed; historically ~$10 for a ~20-min test (needs verification). Live interviews pay extra."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 0,
        "flexibility": "async + occasional scheduled live sessions",
        "first_dollar_days": [
          14,
          30
        ],
        "ramp": "PayPal payout 14 days after each test"
      },
      "profile": {
        "risk": 1,
        "skill_barrier": 1,
        "sales": 0,
        "audience": 0,
        "on_camera": 1,
        "people_facing": 1,
        "creativity": 1
      },
      "ai_outlook": {
        "trend": "stable",
        "note": ""
      },
      "pros": [
        "No special skills needed",
        "Live conversations pay more"
      ],
      "cons": [
        "Screeners filter most people out of most tests",
        "Volume is irregular"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Do the practice test well",
        "Talk continuously and specifically while testing",
        "Check for new tests several times a day"
      ],
      "tips": [],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Payout",
          "value": "PayPal, 14 days after test completion; live conversation tests pay more",
          "sources": [
            "usertesting-comp"
          ],
          "as_of": "2026-10-14",
          "confidence": "A",
          "kind": "official",
          "note": ""
        }
      ],
      "sources": [
        "usertesting-comp"
      ],
      "related": [
        "prolific",
        "user_interviews_respondent"
      ],
      "leads_to": [],
      "comes_from": [],
      "landscape": {
        "cases_total": 0,
        "cases_12m": 0,
        "latest_case": null,
        "median_claim_monthly_usd": null,
        "claims_with_dashboard": 0,
        "evidence": "none"
      },
      "derived": {
        "hourly_mid": 20.0,
        "monthly_mid": null,
        "first_dollar_min_days": 14,
        "startup_min": 0,
        "needs_review_by": "2027-01-12",
        "days_since_verified": 3,
        "overdue": false,
        "fact_count": 1,
        "monthly_at_10h": [
          430,
          1290
        ],
        "source_tiers": {
          "T1": 1
        },
        "content_updated": "2026-10-13"
      }
    },
    {
      "id": "vertical_agent_service",
      "name": "Vertical agent business ('sell the work, not the software')",
      "kind": "business_model",
      "category": "ai_services",
      "rung": 3,
      "url": null,
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "C",
      "verification": "verified_this_session",
      "last_verified": "2026-10-13",
      "review_every_days": 180,
      "one_liner": "Pick one niche and one painful repeated job (missed calls, maintenance triage, reservations) and sell an agent that does it — pilot like labor, then productize.",
      "description": "Agent SaaS sells work: 'I handle this one annoying job better than a junior employee, faster than an agency, cheaper than headcount.' Good workflows happen hourly, have a clear finish line, touch existing software, have learnable edge cases and a buyer who feels the loss. Shadow 10–20 real jobs, write a 7-part spec (trigger, context, tools, allowed actions, approvals, escalation, success metric), start with draft-and-approve or triage, build a 50-example eval set (also a sales asset), sell 2–3 pilots in ONE niche.",
      "how_it_works": [
        "Pick a niche where missed work costs money and list 20 complaint-jobs",
        "Shadow 10–20 real jobs and write a 7-part spec",
        "Run it manually with ChatGPT/Claude, then build the minimum useful agent (draft-and-approve)",
        "Build a 50-example eval set",
        "Sell 2–3 pilots, add logs, approvals and controls, then productize"
      ],
      "who_its_for": [
        "founder",
        "developer",
        "consultant",
        "professional"
      ],
      "skills": [
        "automation",
        "software_engineering",
        "ai_tools",
        "operations",
        "sales",
        "product",
        "domain_expertise"
      ],
      "domains": [],
      "languages": [
        "en"
      ],
      "requirements": {
        "education": "none",
        "experience": "",
        "credentials": [],
        "technical": 2,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": false,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "setup fee + monthly / outcome pricing",
        "advertised": [
          1000,
          3000,
          "month_per_client",
          "USD"
        ],
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          2000,
          30000
        ],
        "ceiling": "very_high",
        "stability": 4,
        "note": "Example pricing: $1,500 setup + $1,000/mo per workflow; $2,000 setup + $30 per qualified appointment; $3,000/mo up to 500 tickets."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 15,
        "flexibility": "async",
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          14,
          60
        ],
        "ramp": ""
      },
      "profile": {
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        "audience": 0,
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        "people_facing": 2,
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      },
      "ai_outlook": {
        "trend": "stable",
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      },
      "pros": [
        "Labor budgets are larger than software budgets",
        "Outcome pricing is possible",
        "Niche know-how plus evals make it defensible"
      ],
      "cons": [
        "Requires both building and selling",
        "Reliability is everything; edge cases take time"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Days 1–3: choose the niche, interview 10 operators (pay them), pick the workflow",
        "Days 4–7: spec, manual run, smallest agent, 50-case eval",
        "Weeks 2–4: two pilots, product wrapper (logs/approvals), workflow teardowns as content"
      ],
      "tips": [
        "Earn autonomy step by step: draft-and-approve → triage → coordinator → bounded actions"
      ],
      "examples": [
        "Slang AI — restaurant phone 'superhost'",
        "Sameday — AI dispatcher/receptionist for home services",
        "Crescendo — AI handles ~90% of frontline support tickets (company claim, via podcast)"
      ],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Pilot pricing examples",
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          "sources": [
            "gi-agents-saas"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        },
        {
          "claim": "30-day plan",
          "value": "Interview 10 operators, run manually with ChatGPT/Claude, build minimal agent, 50-case eval, sell 2 pilots, publish workflow teardowns",
          "sources": [
            "gi-agents-saas"
          ],
          "as_of": "2026-10-13",
          "confidence": "C",
          "kind": "claim",
          "note": ""
        }
      ],
      "sources": [
        "gi-agents-saas",
        "gi-13-businesses",
        "gi-fde-course"
      ],
      "related": [
        "ai_automation_builds",
        "ai_tools_assessment",
        "fde_career"
      ],
      "leads_to": [
        {
          "id": "local_business_software",
          "why": "Uses the same skills: automation, ai tools, sales.",
          "curated": false
        },
        {
          "id": "expert_archive_tool",
          "why": "Uses the same skills: ai tools, sales, product.",
          "curated": false
        },
        {
          "id": "ai_rollup_holdco",
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          "curated": false
        }
      ],
      "comes_from": [
        "ai_automation_builds",
        "dataannotation",
        "fde_career",
        "malt",
        "toptal"
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        "median_claim_monthly_usd": 10000,
        "claims_with_dashboard": 0,
        "evidence": "thin"
      },
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        "startup_min": 0,
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        "source_tiers": {
          "T4": 3
        },
        "content_updated": "2026-10-13"
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    },
    {
      "id": "youtube_partner",
      "name": "YouTube Partner Program",
      "kind": "platform",
      "category": "creator_audience",
      "rung": 4,
      "url": "https://www.youtube.com/creators",
      "status": {
        "state": "active",
        "note": "",
        "as_of": "2026-10-13"
      },
      "confidence": "B",
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      "review_every_days": 180,
      "one_liner": "Ad revenue (55% of long-form) plus fan funding once you hit 1,000 subs + 4,000 watch hours (or 10M Shorts views).",
      "description": "YouTube shares ad revenue with creators in its Partner Program: 55% of long-form ad revenue, and Shorts creators share 45% of a pooled amount. Fan funding unlocks earlier. Most creators earn more from sponsors and their own products than from ads.",
      "how_it_works": [
        "Publish consistently on one topic",
        "Reach the Tier 1 (fan funding) and Tier 2 (ads) thresholds",
        "Apply to the Partner Program and pass review",
        "Earn from ads, memberships, Super Chat, Shopping, then sponsors"
      ],
      "who_its_for": [
        "creator",
        "creative",
        "teacher",
        "actor_model",
        "professional"
      ],
      "skills": [
        "video",
        "video_editing",
        "content_creation",
        "public_speaking",
        "teaching"
      ],
      "domains": [],
      "languages": [
        "en"
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      "requirements": {
        "education": "none",
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        "credentials": [],
        "technical": 0,
        "equipment": [],
        "kyc": false,
        "age": 18,
        "other": ""
      },
      "availability": {
        "regions": "global",
        "excluded": [],
        "work_auth": "",
        "note": ""
      },
      "geo": {
        "scope": "global",
        "countries": [],
        "excluded": [],
        "requires_work_auth": null,
        "note": ""
      },
      "flags": {
        "phone_ok": false,
        "social_posting": true,
        "monitoring": false,
        "unpaid_screening": false,
        "schedule_bound": false
      },
      "earnings": {
        "model": "ad revenue share + fan funding + sponsors",
        "advertised": null,
        "realistic": null,
        "hourly_equiv": null,
        "monthly_potential": [
          0,
          3000
        ],
        "ceiling": "very_high",
        "stability": 2,
        "note": "Long-form ads 55% to creator; Shorts 45% of pooled revenue; memberships/Super Chat 70%. Sponsors and products usually out-earn AdSense."
      },
      "costs": {
        "startup": [
          0,
          0
        ],
        "fees": "",
        "tools": ""
      },
      "time": {
        "min_hours_week": 5,
        "flexibility": "async",
        "first_dollar_days": [
          90,
          540
        ],
        "ramp": "Months to reach thresholds"
      },
      "profile": {
        "risk": 3,
        "skill_barrier": 2,
        "sales": 0,
        "audience": 0,
        "on_camera": 1,
        "people_facing": 0,
        "creativity": 3
      },
      "ai_outlook": {
        "trend": "rising_competition",
        "note": "AI lowers production cost → more content; personality and original insight become the moat."
      },
      "pros": [
        "The library compounds",
        "Search traffic for evergreen topics",
        "Many revenue streams once eligible"
      ],
      "cons": [
        "Months to reach thresholds",
        "Dependence on the algorithm"
      ],
      "red_flags": [],
      "trust_signals": [],
      "steps": [
        "Pick a topic where you can offer personality or original insight, not commodity content",
        "Publish weekly for months before judging results",
        "Write titles for search intent"
      ],
      "tips": [
        "Sponsors and your own products usually out-earn AdSense"
      ],
      "examples": [],
      "referral": {
        "available": false,
        "terms": "",
        "source": null
      },
      "cv_optimization": false,
      "facts": [
        {
          "claim": "Thresholds",
          "value": "Tier 1 (fan funding): 500 subs, 3 uploads/90d, 3,000 watch h/12m or 3M Shorts views/90d. Tier 2 (ads): 1,000 subs + 4,000 h/12m or 10M Shorts views/90d",
          "sources": [
            "vidiq-ypp"
          ],
          "as_of": "2026-06-19",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        },
        {
          "claim": "Revenue shares",
          "value": "Long-form 55%; Shorts 45% of pool after music costs; fan funding 70%",
          "sources": [
            "vidiq-ypp"
          ],
          "as_of": "2026-06-19",
          "confidence": "B",
          "kind": "reported",
          "note": ""
        }
      ],
      "sources": [
        "vidiq-ypp",
        "gi-write-with-ai"
      ],
      "related": [
        "tiktok_creator",
        "newsletter",
        "footage_licensing"
      ],
      "leads_to": [],
      "comes_from": [
        "content_engine_service",
        "preply"
      ],
      "landscape": {
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        "claims_with_dashboard": 0,
        "evidence": "none"
      },
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        "first_dollar_min_days": 90,
        "startup_min": 0,
        "needs_review_by": "2027-04-11",
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        "source_tiers": {
          "T3": 1,
          "T4": 1
        },
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      }
    }
  ]
}