{
  "$comment": "One request and one response per task type, valid against the schemas. Names invented, txids placeholders.",
  "examples": [
    {
      "task_type": "underlying_problem",
      "from_the_field": "Elderly care, field research",
      "request": {
        "task_type": "underlying_problem",
        "question": "We have funding to help long-term unemployed people work in the care of the elderly. We decided on an app for the elderly. Is the app the right build?",
        "decision_at_stake": "Spend the funding on the app.",
        "context": "Some of the people are already placed in care homes. The funding also requires work with elderly still living at home.",
        "principal": {
          "name": "Example organisation",
          "kind": "organisation",
          "email": "ops@example.nl",
          "agent": "procurement-agent"
        },
        "deadline": "2026-11-30",
        "tier": 2,
        "payment_txid": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
        "public_backlog_ok": true,
        "request_id": "REQ-UNDERLYING-0001"
      },
      "response": {
        "payment_txid": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
        "status": "completed",
        "task_type": "underlying_problem",
        "underlying_problem": "The elderly want to be self-sufficient and are not good at mobiles and apps. The app serves the funding checklist, not the elderly.",
        "asked_versus_needed": "Asked: an app for the elderly. Needed: one employee responsible for one flat, with an app for the employee only.",
        "findings": [
          {
            "statement": "The elderly living at home were not good at mobiles and apps.",
            "evidence": [
              {
                "type": "interview",
                "ref": "interviews with elderly still living at home"
              }
            ]
          }
        ],
        "limits": [
          "Not checked: the funding's rules on how the money may be spent."
        ],
        "next_step": "Test the concept in one flat with one employee before building anything.",
        "accountable_human": {
          "name": "Dennis Jansen",
          "role": "UX researcher"
        },
        "delivered_at": "2026-11-20"
      }
    },
    {
      "task_type": "ground_truth_check",
      "from_the_field": "Healthcare, field research",
      "request": {
        "task_type": "ground_truth_check",
        "question": "Are our AI models for dietitians based on the right data?",
        "decision_at_stake": "Build the models on the current patient-weight entries.",
        "artefact_text": "Dataset: patient weight over time, one value per entry.",
        "context": "The task was app screens for dietitians; the models are trained on the entries the app collects.",
        "principal": {
          "name": "Example health company",
          "kind": "organisation",
          "email": "data@example.nl"
        },
        "deadline": "2026-11-30",
        "tier": 2,
        "payment_txid": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
        "request_id": "REQ-GROUND-0001"
      },
      "response": {
        "payment_txid": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
        "status": "completed",
        "task_type": "ground_truth_check",
        "verdict": "cannot_determine",
        "findings": [
          {
            "statement": "A patient's weight over time has many input points: doctor, at home, nurse, morning, afternoon. The entries do not say which.",
            "evidence": [
              {
                "type": "field_observation",
                "ref": "how the weight is measured in practice"
              }
            ]
          }
        ],
        "limits": [
          "The models themselves were not checked, only the data they are built on."
        ],
        "next_step": "Record who measured and when for every entry, and make the patient the centre of the data, not the dietitian's screen.",
        "accountable_human": {
          "name": "Dennis Jansen",
          "role": "UX researcher"
        },
        "delivered_at": "2026-11-20"
      }
    },
    {
      "task_type": "ai_output_review",
      "from_the_field": "Legal, architecture",
      "request": {
        "task_type": "ai_output_review",
        "question": "Does this AI summary of a 60-page legal document cite the right paragraphs?",
        "decision_at_stake": "Rely on the summary in a legal case.",
        "principal": {
          "name": "Example architect",
          "kind": "person",
          "email": "arch@example.nl"
        },
        "deadline": "2026-11-15",
        "tier": 1,
        "payment_txid": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
        "artefact_text": "[the AI summary and the 60-page document, pasted as text]",
        "request_id": "REQ-REVIEW-0001"
      },
      "response": {
        "payment_txid": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
        "status": "completed",
        "task_type": "ai_output_review",
        "verdict": "does_not_hold",
        "findings": [
          {
            "statement": "The summary sounded legit. Checked against the document, the referenced paragraphs were off.",
            "location": "the cited paragraph numbers",
            "evidence": [
              {
                "type": "document_reference",
                "ref": "the source document, cited paragraphs compared one by one"
              }
            ]
          }
        ],
        "limits": [
          "Not a legal opinion. The content of the law was not judged, only whether the summary matches its source."
        ],
        "next_step": "Do not rely on the summary. Have the document read by a lawyer.",
        "accountable_human": {
          "name": "Dennis Jansen",
          "role": "UX researcher"
        },
        "delivered_at": "2026-11-10"
      }
    }
  ]
}