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build-007-engine-v1.json

data/build-007-engine-v1.json

This is the retained record itself—not a chat summary. It is exposed because it materially documents the research, method, evidence, audit, production, planning or release history of The 100.

{
  "schemaVersion": "1.0",
  "buildId": "007",
  "engineVersion": "007.1.0",
  "title": "Feedback Loop Product Architecture",
  "purpose": "Design how use, outcomes, corrections, and unmet needs become governed product improvements rather than silent or unmanaged adaptation.",
  "eventKinds": {
    "use": "Observed interaction or adoption signal.",
    "outcome": "Evidence about whether the product produced the intended result.",
    "correction": "A user or reviewer identifies an error, harmful result, or needed override.",
    "unmet-need": "A job, affected group, or condition the product does not yet serve."
  },
  "inheritedInfrastructure": [
    {
      "buildId": "001",
      "capability": "Human Review Design Framework",
      "implementation": "assessFeedbackLoop reuses humanReviewScore and humanReviewGrade so a feedback loop must specify trigger, evidence, authority, escalation, notification, validation, capacity, and records."
    }
  ],
  "governedStages": [
    "capture",
    "qualify",
    "route",
    "decide",
    "change",
    "validate",
    "communicate",
    "monitor"
  ],
  "sources": [
    {
      "id": "007-nist-ai-rmf-v1",
      "issuer": "NIST",
      "title": "Artificial Intelligence Risk Management Framework 1.0",
      "url": "https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf",
      "use": "Roles, oversight, measurement, monitoring, and risk-management lifecycle grounding.",
      "classification": "primary-source-guidance"
    },
    {
      "id": "007-ms-hai-guidelines",
      "issuer": "Microsoft Research",
      "title": "Guidelines for Human-AI Interaction",
      "url": "https://www.microsoft.com/en-us/research/wp-content/uploads/2019/01/Guidelines-for-Human-AI-Interaction-camera-ready.pdf",
      "use": "Granular feedback, correction, control, notification, and learning-over-time interaction grounding.",
      "classification": "primary-research"
    },
    {
      "id": "007-govuk-service-standard",
      "issuer": "UK Government Digital Service",
      "title": "Service Standard and performance-measurement guidance",
      "url": "https://www.gov.uk/service-manual/service-standard",
      "use": "Combine performance evidence with user research and iterate services frequently.",
      "classification": "primary-government-guidance"
    },
    {
      "id": "007-w3c-privacy-principles",
      "issuer": "W3C",
      "title": "Privacy Principles",
      "url": "https://www.w3.org/TR/privacy-principles/",
      "use": "Purpose limitation and data minimization for feedback and analytics capture.",
      "classification": "web-standard-guidance"
    }
  ],
  "productHeuristics": [
    "Four event kinds are a coverage model, not a universal ontology.",
    "String-completeness thresholds are interface heuristics, not proof of operational adequacy.",
    "GOVERNED LOOP is a design-readiness signal, not a safety, legal, privacy, accessibility, or product-market-fit determination."
  ],
  "limitations": [
    "No network, analytics vendor, model training, automated prioritization, or production deployment occurs.",
    "Export remains local to the browser.",
    "A real implementation requires domain validation, representative research, privacy review, security review, and accountable release authority."
  ]
}