{
  "schemaVersion": "tg.decision-dossier.v1",
  "product": "TG Decision Studio",
  "sample": true,
  "title": "Paid AI Workshop Offer: Launch Now or Wait",
  "language": "en-US",
  "createdAt": "2026-06-25T07:10:00Z",
  "clientContext": {
    "buyer": "Independent AI consultant",
    "market": "Small business owners who want practical AI workflows",
    "currentConstraint": "No public case study, no automated checkout, limited proof"
  },
  "executiveDecision": {
    "recommendation": "Launch a paid pilot offer before building a larger course.",
    "decisionOwner": "Consultant / founder",
    "confidence": "medium",
    "conditions": [
      "Sell only 5 pilot seats before expanding the product",
      "Use a clear before-and-after client workflow as the deliverable",
      "Collect acceptance receipts and objections after each delivery"
    ],
    "noGoTriggers": [
      "No buyer agrees to a paid pilot after 20 targeted conversations",
      "The delivery requires more than 6 hours per client",
      "Buyers only want free AI advice and refuse implementation support"
    ]
  },
  "decisionGraph": {
    "nodes": [
      {
        "id": "decision",
        "type": "decision",
        "label": "Launch paid pilot",
        "summary": "Start with a small paid offer to validate demand before investing in a broad product.",
        "x": 50,
        "y": 12
      },
      {
        "id": "evidence-a",
        "type": "evidence",
        "label": "People ask for implementation",
        "summary": "Prospects ask how to apply AI to operations, not only which model is best.",
        "x": 18,
        "y": 32
      },
      {
        "id": "risk-a",
        "type": "risk",
        "label": "Weak proof",
        "summary": "Without a case study, a high-ticket offer may feel abstract or risky.",
        "x": 82,
        "y": 32
      },
      {
        "id": "experiment-a",
        "type": "experiment",
        "label": "5-seat pilot",
        "summary": "Sell 5 seats at a controlled scope, capture outcomes, and measure delivery time.",
        "x": 33,
        "y": 58
      },
      {
        "id": "alternate",
        "type": "alternate",
        "label": "Wait and build course",
        "summary": "Lower sales pressure, but delays market proof and increases build risk.",
        "x": 68,
        "y": 58
      },
      {
        "id": "gate",
        "type": "gate",
        "label": "Scale only after proof",
        "summary": "Move to a higher-priced consulting package after paid pilots produce a repeatable delivery pattern.",
        "x": 50,
        "y": 82
      }
    ],
    "edges": [
      {
        "from": "evidence-a",
        "to": "decision",
        "label": "supports"
      },
      {
        "from": "risk-a",
        "to": "experiment-a",
        "label": "requires"
      },
      {
        "from": "decision",
        "to": "experiment-a",
        "label": "validated by"
      },
      {
        "from": "decision",
        "to": "alternate",
        "label": "compared with"
      },
      {
        "from": "experiment-a",
        "to": "gate",
        "label": "unlocks"
      },
      {
        "from": "alternate",
        "to": "gate",
        "label": "fallback"
      }
    ]
  },
  "deliverables": [
    {
      "name": "Decision brief",
      "format": "Markdown / PDF-ready",
      "buyerValue": "A client-facing summary that explains the recommendation and tradeoffs."
    },
    {
      "name": "Agent context",
      "format": "JSON",
      "buyerValue": "A controlled handoff so another agent can continue without inventing missing facts."
    },
    {
      "name": "Acceptance receipt",
      "format": "Signed record",
      "buyerValue": "A delivery proof for consultants, teams, and paid client work."
    }
  ],
  "agentContext": {
    "allowedClaims": [
      "The recommendation is based on pilot validation, not a guarantee of market success.",
      "A scale decision requires evidence from paid conversations and delivery time tracking.",
      "The current strongest buyer is a consultant or service provider with client delivery pressure."
    ],
    "forbiddenClaims": [
      "Do not promise guaranteed revenue.",
      "Do not claim PayPal webhook fulfillment is active unless configured.",
      "Do not say the product is code-signed until a signing certificate is purchased and used."
    ],
    "systemPrompt": "You are continuing a TG Decision Studio dossier. Preserve the decision graph, quote only facts present in the dossier, separate evidence from inference, and ask for missing business data before making stronger claims."
  },
  "commercialAssessment": {
    "bestBuyer": "Consultants, AI implementation service providers, and small teams that sell decision reports.",
    "weakBuyer": "Users who only want free chat answers and do not need repeatable delivery.",
    "mainObjection": "Why not just ask an AI chatbot directly?",
    "answer": "The chatbot gives a response; the dossier preserves decision logic, risk gates, agent context, proof of delivery, and a reusable client-facing artifact."
  }
}