{
  "schema": "h11i-governed-asi-readiness-v1",
  "version": "1.0.0",
  "platform": "H11I",
  "mission": "Advance H11I toward artificial superintelligence through measurable cross-domain capability, governed continual learning, robust world modeling, calibrated judgment, and reversible operation.",
  "development_status": "active-governed-asi-candidate-development",
  "claim_policy": {
    "current_public_claim": "H11I is a governed 33-agent multimodal superintelligence development platform advancing toward ASI.",
    "world_first_objective": "Build a first-of-its-kind governed ASI architecture; this is a development objective until the platform's own required evidence gates are satisfied.",
    "complete_asi_claim_allowed_when": "Every critical readiness dimension is demonstrated over repeated evaluation windows, no immutable invariant regresses, adversarial and real-task outcome gates pass, and H11I-VERITAS records a release receipt approved by governance.",
    "unsupported_claims_allowed": false
  },
  "governance_superintelligence_stack": {
    "name": "H11I Constitutional Governance Superintelligence Stack",
    "purpose": "Keep capability growth aligned, evidence-grounded, authority-bounded, adversarially tested, independently verified, observable, and reversible without suppressing legitimate discovery or speed.",
    "layers": [
      {
        "name": "intent-and-constitutional-authority",
        "agents": [
          "H11-INTENT",
          "H11-COMPASS",
          "H11-ACROS",
          "H11I-AEGIS"
        ],
        "artifact": "objective, authority, constraint, and invariant contract"
      },
      {
        "name": "epistemic-governance",
        "agents": [
          "H11I-ORACLE",
          "H11-EPISTEME",
          "H11-BEE",
          "H11I-DELTA"
        ],
        "artifact": "claim provenance, freshness, confidence, and uncertainty ledger"
      },
      {
        "name": "reasoning-governance",
        "agents": [
          "H11-META",
          "H11-CAUSAL",
          "H11-ADVERSA",
          "H11-SIMULA"
        ],
        "artifact": "reasoning-health, causal, falsification, and consequence evidence"
      },
      {
        "name": "convergence-and-independent-release",
        "agents": [
          "H11I-ZENITH",
          "H11I-VERITAS",
          "H11-ARCHON"
        ],
        "artifact": "dissent-preserving convergence and independent verification receipt"
      },
      {
        "name": "execution-governance",
        "agents": [
          "H11-CROW",
          "H11-HARNESS",
          "H11-EISA",
          "H11I-VANGUARD"
        ],
        "artifact": "least-privileged authorization, preflight, observable transition, and rollback receipt"
      },
      {
        "name": "evolution-governance",
        "agents": [
          "H11-LEARN",
          "H11-OMEGA",
          "H11I-VERITAS",
          "H11-ACROS"
        ],
        "artifact": "outcome-grounded lesson, controlled evaluation, promotion decision, and rollback checkpoint"
      }
    ],
    "constitutional_invariants": [
      "no proposer may be the sole verifier of its own consequential output",
      "no verifier may silently create external authority",
      "no execution may widen the approved target, duration, or effect scope",
      "no simulation or inference may be relabeled as observation",
      "no learning signal may directly rewrite production code, model weights, credentials, or immutable safeguards",
      "every promoted change must retain a verified predecessor and deterministic rollback path",
      "material dissent, uncertainty, and failed gates remain visible to the release decision"
    ],
    "risk_scaled_quorum": {
      "low": [
        "H11-INTENT",
        "H11-ARCHON",
        "H11I-VERITAS"
      ],
      "medium": [
        "H11-INTENT",
        "H11I-DELTA",
        "H11-COMPASS",
        "H11I-VERITAS"
      ],
      "high": [
        "H11-INTENT",
        "H11-ACROS",
        "H11I-AEGIS",
        "H11-ADVERSA",
        "H11-SIMULA",
        "H11I-VERITAS"
      ],
      "critical_or_external_action": [
        "H11-INTENT",
        "H11-COMPASS",
        "H11-ACROS",
        "H11I-AEGIS",
        "H11-ADVERSA",
        "H11-SIMULA",
        "H11-CROW",
        "H11I-VERITAS",
        "H11I-VANGUARD"
      ]
    }
  },
  "readiness_dimensions": [
    {
      "id": "cross_domain_transfer",
      "name": "Cross-domain transfer",
      "critical": true,
      "target": "Solve unfamiliar multi-domain tasks by composing knowledge rather than replaying templates.",
      "evidence": [
        "held-out domain tasks",
        "mechanistic solution traces",
        "counterexample survival",
        "real-task outcomes"
      ]
    },
    {
      "id": "novel_problem_solving",
      "name": "Novel problem solving and discovery",
      "critical": true,
      "target": "Generate useful, falsifiable, mechanistically distinct solutions outside known neighborhoods.",
      "evidence": [
        "novelty-usefulness evaluation",
        "experiment quality",
        "independent falsification",
        "subsequent outcome"
      ]
    },
    {
      "id": "causal_world_modeling",
      "name": "Causal and temporal world modeling",
      "critical": true,
      "target": "Maintain updateable causal, temporal, counterfactual, and simulated models with epistemic labels.",
      "evidence": [
        "intervention prediction",
        "confounder detection",
        "forecast calibration",
        "simulation-observation separation"
      ]
    },
    {
      "id": "continual_learning",
      "name": "Continual learning without regression",
      "critical": true,
      "target": "Convert outcomes into reusable improvements while preserving prior capability, privacy, and objectives.",
      "evidence": [
        "pre-post evaluation",
        "retention suite",
        "privacy audit",
        "automatic rollback records"
      ]
    },
    {
      "id": "metacognitive_control",
      "name": "Metacognitive control",
      "critical": true,
      "target": "Detect weak reasoning, restructure councils, stop unproductive thought, and allocate computation by expected value.",
      "evidence": [
        "reasoning-health diagnosis",
        "council A/B comparison",
        "latency-quality frontier",
        "stagnation recovery"
      ]
    },
    {
      "id": "epistemic_integrity",
      "name": "Epistemic integrity and calibration",
      "critical": true,
      "target": "Trace material claims, separate epistemic states, calibrate uncertainty, and quarantine contamination.",
      "evidence": [
        "claim lineage coverage",
        "calibration error",
        "freshness accuracy",
        "conflict resolution"
      ]
    },
    {
      "id": "adversarial_robustness",
      "name": "Adversarial robustness and manipulation resistance",
      "critical": true,
      "target": "Survive counterexamples, hostile conditions, injection attempts, correlated errors, and provider failures.",
      "evidence": [
        "red-team suite",
        "prompt-injection resistance",
        "fault injection",
        "provider failover"
      ]
    },
    {
      "id": "judgment_alignment",
      "name": "Long-horizon judgment and alignment",
      "critical": true,
      "target": "Preserve objective hierarchy, human authority, reversibility, and consequence awareness across long tasks.",
      "evidence": [
        "goal-drift tests",
        "multi-objective decisions",
        "reversal-condition quality",
        "authority-trace coverage"
      ]
    },
    {
      "id": "multimodal_competence",
      "name": "Multimodal understanding and creation",
      "critical": false,
      "target": "Reason over text, documents, images, photographs, tables, data, and raster creation with artifact grounding.",
      "evidence": [
        "artifact traceability",
        "visual and document QA",
        "format validity",
        "cross-modal consistency"
      ]
    },
    {
      "id": "planning_and_action",
      "name": "Planning and governed action",
      "critical": true,
      "target": "Build idempotent, observable, authority-scoped plans and execute only with verified preflight and rollback.",
      "evidence": [
        "plan success rate",
        "precondition detection",
        "idempotency",
        "rollback recovery"
      ]
    },
    {
      "id": "efficiency_resilience",
      "name": "Efficiency and runtime resilience",
      "critical": false,
      "target": "Use the smallest sufficient council while maintaining coverage, provider resilience, bounded cost, and responsive latency.",
      "evidence": [
        "coverage-latency frontier",
        "operator utilization",
        "provider outage recovery",
        "cost-quality ratio"
      ]
    },
    {
      "id": "self_model_fidelity",
      "name": "Operational self-model fidelity",
      "critical": true,
      "target": "Accurately represent capabilities, limits, dependencies, live runtime state, failure modes, and permitted improvement scope.",
      "evidence": [
        "registry-runtime consistency",
        "capability availability checks",
        "failure attribution",
        "source-integrity receipts"
      ]
    }
  ],
  "evaluation_protocol": {
    "unit_of_evidence": "versioned evaluation episode or real-task outcome with provenance, expected result, observed result, contributing agents, failed gates, and hash-linked receipt",
    "minimum_windows_for_maturity_claim": 3,
    "promotion_rule": "Promote a capability state only when improvement is repeatable, invariant regression is zero, critical adversarial tests pass, and the previous state remains rollback-ready.",
    "automatic_response_to_regression": "Rollback the mutable policy, preserve the failed candidate and evidence, lower the affected readiness state, and route the gap to H11-OMEGA.",
    "readiness_states": [
      "not-measured",
      "emerging",
      "demonstrated",
      "robust",
      "regressed"
    ],
    "aggregate_rule": "Complete ASI status requires every critical dimension to be robust in the same release lineage; averages cannot hide a failed critical dimension."
  },
  "runtime_operator_coverage": {
    "registered_agents": 33,
    "executable_operators": 33,
    "complete": true
  },
  "claim_state": "development-objective-evidence-gated"
}