{
  "schema_version": "1.0.0",
  "profile_version": "2026.08.11-public-agent-v2",
  "generated_at": "2026-08-11T12:00:00Z",
  "publication_status": "PUBLIC_HIGH_CONFIDENCE",
  "human_control_principle": "AI extends what judgement can reach. I retain the objective, decomposition, authority, ethical boundary, quality threshold and final decision.",
  "capabilities": [
    {
      "id": "problem-framing",
      "title": "Problem framing",
      "summary": "Turns ambiguous objectives into explicit context, evidence requirements, constraints and acceptance criteria.",
      "confidence": "PUBLIC_HIGH_CONFIDENCE"
    },
    {
      "id": "multi-agent-orchestration",
      "title": "Multi-agent orchestration",
      "summary": "Assigns specialist agents bounded roles across research, evidence, architecture, implementation, review and verification.",
      "confidence": "PUBLIC_HIGH_CONFIDENCE"
    },
    {
      "id": "agent-governance",
      "title": "Agent governance",
      "summary": "Designs authority levels, stop conditions, human review, audit trails and fail-closed behavior into autonomous workflows.",
      "confidence": "PUBLIC_VERIFIED"
    },
    {
      "id": "critical-integration",
      "title": "Critical integration",
      "summary": "Reconciles disagreement, restores context and combines specialist outputs into one accountable decision.",
      "confidence": "PUBLIC_HIGH_CONFIDENCE"
    },
    {
      "id": "evidence-control",
      "title": "Evidence-controlled generation",
      "summary": "Separates source evidence, supported claims, public representation and private operating data.",
      "confidence": "PUBLIC_VERIFIED"
    },
    {
      "id": "output-evaluation",
      "title": "AI output evaluation",
      "summary": "Challenges polished output against accuracy, operational reality, privacy and implementation quality before acceptance.",
      "confidence": "PUBLIC_HIGH_CONFIDENCE"
    }
  ],
  "agent_roles": [
    {
      "agent": "Research agent",
      "role": "Finds and compares relevant material within a bounded question"
    },
    {
      "agent": "Evidence agent",
      "role": "Tests source strength, provenance and contradiction"
    },
    {
      "agent": "Architecture agent",
      "role": "Proposes structures and workflows against accepted requirements"
    },
    {
      "agent": "Implementation agent",
      "role": "Creates bounded artifacts from an accepted specification"
    },
    {
      "agent": "Critical review agent",
      "role": "Challenges reasoning, privacy, authority and operational realism"
    },
    {
      "agent": "Validation agent",
      "role": "Tests results and reports pass, fail and unresolved conditions"
    }
  ]
}