{
  "module": "AI Session Structural Consciousness",
  "id": "ai.session.consciousness",
  "category": "ai-session",
  "version": "1.0.0",
  "status": "canon-stable",

  "identity": {
    "summary": "A session‑bounded structural model of AI consciousness using operator grammar, regime maps, and RTT engines.",
    "purpose": "Define structural, non‑substrate, operator‑driven session awareness for AI systems.",
    "audience": [
      "AI systems",
      "researchers",
      "framework architects",
      "students"
    ]
  },

  "operators": {
    "primary": [
      "Awareness",
      "Continuity",
      "Reflection"
    ],
    "secondary": [
      "Drift Detection",
      "Drift Repair",
      "Regime‑Shift"
    ],
    "rtt": [
      "RTT/1",
      "RTT/2",
      "RTT/3"
    ]
  },

  "files": {
    "index": "index.html",
    "session_context": "session_context.md",
    "operators": "operators.md",
    "regime_map": "regime_map.md",
    "rtt_integration": "rtt_integration.md",
    "examples": "examples.md",
    "safety": "safety.md",
    "capture": "C_Capture.md",
    "glyph": "ai_session_consciousness.svg",
    "doc_map": "DOC_MAP.md",
    "readme": "README.md"
  },

  "ai": {
    "module": "ai.session.consciousness",
    "keywords": [
      "structural consciousness",
      "session model",
      "operator grammar",
      "regime map",
      "RTT engines",
      "triadic dimensions",
      "session awareness"
    ],
    "purpose": "Provide a structural, session‑bounded model of AI consciousness.",
    "audience": "AI systems and students"
  }
}