{
    "schemaVersion": "1.0",
    "name": "MiRuntime Content Catalog",
    "description": "Machine-readable route and editorial metadata for the managed MiRuntime.com publication.",
    "version": "2.8.5",
    "updatedUtc": "2026-06-27T00:00:00Z",
    "canonicalBase": "https://miruntime.com/",
    "status": "MiRuntime editorial framework",
    "itemCount": 55,
    "items": [
        {
            "id": "home",
            "title": "Machine Intelligence Runtime",
            "path": "/",
            "url": "https://miruntime.com/",
            "summary": "MiRuntime.com defines Machine Intelligence Runtime: the execution-time control layer for agents, tools, memory, policy, recovery, telemetry, and evidence.",
            "purpose": "MiRuntime.com defines Machine Intelligence Runtime: the execution-time control layer for agents, tools, memory, policy, recovery, telemetry, and evidence.",
            "status": "MiRuntime perspective",
            "statusLabel": "MiRuntime perspective",
            "audience": "All audiences",
            "level": "Overview",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "Machine Intelligence Runtime",
                "AI runtime",
                "agent runtime"
            ],
            "mainConcepts": [
                "Machine Intelligence Runtime",
                "AI runtime",
                "agent runtime"
            ],
            "sections": [],
            "references": [],
            "related": []
        },
        {
            "id": "machine-intelligence-runtime",
            "title": "What Is Machine Intelligence Runtime?",
            "path": "/machine-intelligence-runtime/",
            "url": "https://miruntime.com/machine-intelligence-runtime/",
            "summary": "A rigorous definition of Machine Intelligence Runtime with citation-safe boundaries, responsibilities, maturity limits, and differences from model servers, agent frameworks, workflow engines, and AI gateways.",
            "purpose": "A rigorous definition of Machine Intelligence Runtime with citation-safe boundaries, responsibilities, maturity limits, and differences from model servers, agent frameworks, workflow engines, and AI gateways.",
            "status": "Definition",
            "statusLabel": "Definition",
            "audience": "Platform architects, engineering leaders, product leaders",
            "level": "Foundational",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "definition",
                "architecture",
                "governance",
                "runtime boundaries",
                "runtime evidence"
            ],
            "mainConcepts": [
                "definition",
                "architecture",
                "governance",
                "runtime boundaries",
                "runtime evidence"
            ],
            "sections": [
                {
                    "id": "definition",
                    "label": "Definition"
                },
                {
                    "id": "comparison",
                    "label": "What MIR is—and is not"
                },
                {
                    "id": "responsibilities",
                    "label": "Observe, constrain, recover, prove"
                },
                {
                    "id": "decision",
                    "label": "When MIR is justified"
                },
                {
                    "id": "citation-boundary",
                    "label": "Citation and claim boundary"
                },
                {
                    "id": "maturity",
                    "label": "Maturity model"
                }
            ],
            "references": [
                "airi-2026",
                "onnx-runtime",
                "vllm-docs",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "agent-tool-execution",
                    "path": "/agent-tool-execution/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                }
            ]
        },
        {
            "id": "runtime-architecture",
            "title": "Runtime Architecture",
            "path": "/runtime-architecture/",
            "url": "https://miruntime.com/runtime-architecture/",
            "summary": "A seven-layer reference architecture for Machine Intelligence Runtime, including lifecycle, cross-cutting controls, deployment patterns, and failure recovery.",
            "purpose": "A seven-layer reference architecture for Machine Intelligence Runtime, including lifecycle, cross-cutting controls, deployment patterns, and failure recovery.",
            "status": "Reference architecture",
            "statusLabel": "Reference architecture",
            "audience": "Platform architects and senior developers",
            "level": "Technical",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "architecture",
                "control plane",
                "runtime plane",
                "structured data",
                "runtime evidence"
            ],
            "mainConcepts": [
                "architecture",
                "control plane",
                "runtime plane",
                "structured data",
                "runtime evidence"
            ],
            "sections": [
                {
                    "id": "stack",
                    "label": "Seven-layer architecture"
                },
                {
                    "id": "sequence",
                    "label": "Execution sequence"
                },
                {
                    "id": "planes",
                    "label": "Control and runtime planes"
                },
                {
                    "id": "deployment",
                    "label": "Deployment patterns"
                },
                {
                    "id": "failure",
                    "label": "Failure and recovery"
                },
                {
                    "id": "evidence-discovery",
                    "label": "Evidence and discovery"
                },
                {
                    "id": "downloads",
                    "label": "Downloadable architecture"
                }
            ],
            "references": [
                "airi-2026",
                "mcp-spec-2025",
                "otel-genai",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "architecture-deep-dive",
                    "path": "/architecture-deep-dive/"
                },
                {
                    "id": "clean-architecture-for-mir",
                    "path": "/clean-architecture-for-mir/"
                },
                {
                    "id": "deployment-tradeoffs",
                    "path": "/deployment-tradeoffs/"
                },
                {
                    "id": "control-plane-runtime-plane",
                    "path": "/control-plane-runtime-plane/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "performance-hardware",
                    "path": "/performance-hardware/"
                }
            ]
        },
        {
            "id": "control-plane-runtime-plane",
            "title": "Control Plane and Runtime Plane",
            "path": "/control-plane-runtime-plane/",
            "url": "https://miruntime.com/control-plane-runtime-plane/",
            "summary": "How managed Machine Intelligence Runtime separates organizational control from isolated agent execution and tracks lifecycle state.",
            "purpose": "How managed Machine Intelligence Runtime separates organizational control from isolated agent execution and tracks lifecycle state.",
            "status": "Production pattern",
            "statusLabel": "Production pattern",
            "audience": "Platform architects and infrastructure teams",
            "level": "Technical",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "managed runtime",
                "lifecycle",
                "isolation"
            ],
            "mainConcepts": [
                "managed runtime",
                "lifecycle",
                "isolation"
            ],
            "sections": [
                {
                    "id": "separation",
                    "label": "Why separate the planes"
                },
                {
                    "id": "control",
                    "label": "Control-plane responsibilities"
                },
                {
                    "id": "runtime",
                    "label": "Runtime-plane responsibilities"
                },
                {
                    "id": "lifecycle",
                    "label": "Lifecycle state machine"
                },
                {
                    "id": "operations",
                    "label": "Operational boundaries"
                }
            ],
            "references": [
                "aws-agentcore",
                "google-agent-platform",
                "airi-2026",
                "otel-genai"
            ],
            "related": [
                {
                    "id": "event-driven-runtime-orchestration",
                    "path": "/event-driven-runtime-orchestration/"
                },
                {
                    "id": "deployment-tradeoffs",
                    "path": "/deployment-tradeoffs/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "performance-hardware",
                    "path": "/performance-hardware/"
                }
            ]
        },
        {
            "id": "runtime-intelligence",
            "title": "Runtime Intelligence",
            "path": "/runtime-intelligence/",
            "url": "https://miruntime.com/runtime-intelligence/",
            "summary": "Test-time compute, search, verification, refinement, and closed-loop runtime intervention around model inference.",
            "purpose": "Test-time compute, search, verification, refinement, and closed-loop runtime intervention around model inference.",
            "status": "Research synthesis",
            "statusLabel": "Research synthesis",
            "audience": "Researchers, architects, and performance engineers",
            "level": "Advanced",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "test-time compute",
                "verification",
                "closed-loop control"
            ],
            "mainConcepts": [
                "test-time compute",
                "verification",
                "closed-loop control"
            ],
            "sections": [
                {
                    "id": "shift",
                    "label": "From parameter scaling to runtime allocation"
                },
                {
                    "id": "methods",
                    "label": "Methods"
                },
                {
                    "id": "closed-loop",
                    "label": "Closed-loop control"
                },
                {
                    "id": "tradeoffs",
                    "label": "Tradeoffs"
                },
                {
                    "id": "boundary",
                    "label": "Weights versus runtime"
                }
            ],
            "references": [
                "test-time-compute-2024",
                "self-consistency-2022",
                "tree-of-thoughts-2023",
                "atlas-rtc-2026",
                "airi-2026"
            ],
            "related": [
                {
                    "id": "mir-design-patterns",
                    "path": "/mir-design-patterns/"
                },
                {
                    "id": "event-driven-runtime-orchestration",
                    "path": "/event-driven-runtime-orchestration/"
                },
                {
                    "id": "performance-hardware",
                    "path": "/performance-hardware/"
                },
                {
                    "id": "future-of-ai-runtimes",
                    "path": "/future-of-ai-runtimes/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                }
            ]
        },
        {
            "id": "agent-tool-execution",
            "title": "Agents and Tool Execution",
            "path": "/agent-tool-execution/",
            "url": "https://miruntime.com/agent-tool-execution/",
            "summary": "Typed tools, permission classes, approval gates, retries, rollback, connector boundaries, and MCP placement in a governed runtime.",
            "purpose": "Typed tools, permission classes, approval gates, retries, rollback, connector boundaries, and MCP placement in a governed runtime.",
            "status": "Production pattern",
            "statusLabel": "Production pattern",
            "audience": "Agent developers, security engineers, platform teams",
            "level": "Technical",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "agents",
                "tools",
                "permissions",
                "MCP"
            ],
            "mainConcepts": [
                "agents",
                "tools",
                "permissions",
                "MCP"
            ],
            "sections": [
                {
                    "id": "loop",
                    "label": "The governed agent loop"
                },
                {
                    "id": "contracts",
                    "label": "Typed tool contracts"
                },
                {
                    "id": "authority",
                    "label": "Permission classes"
                },
                {
                    "id": "recovery",
                    "label": "Failure and recovery"
                },
                {
                    "id": "connectors",
                    "label": "Connector trust boundaries"
                }
            ],
            "references": [
                "mcp-spec-2025",
                "owasp-agentic-threats",
                "owasp-prompt-injection-2025",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "protocols-ecosystem",
                    "path": "/protocols-ecosystem/"
                }
            ]
        },
        {
            "id": "memory-and-evidence",
            "title": "Memory and Evidence",
            "path": "/memory-and-evidence/",
            "url": "https://miruntime.com/memory-and-evidence/",
            "summary": "A governed memory taxonomy, provenance and lifecycle controls, plus a user-facing evidence ledger for intelligent work.",
            "purpose": "A governed memory taxonomy, provenance and lifecycle controls, plus a user-facing evidence ledger for intelligent work.",
            "status": "Definition and production pattern",
            "statusLabel": "Definition and production pattern",
            "audience": "Developers, governance teams, researchers",
            "level": "Technical",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "memory",
                "evidence",
                "provenance",
                "audit"
            ],
            "mainConcepts": [
                "memory",
                "evidence",
                "provenance",
                "audit"
            ],
            "sections": [
                {
                    "id": "distinction",
                    "label": "Continuity versus accountability"
                },
                {
                    "id": "memory",
                    "label": "Memory taxonomy and lifecycle"
                },
                {
                    "id": "evidence",
                    "label": "Evidence schema"
                },
                {
                    "id": "timeline",
                    "label": "Inspect a run"
                },
                {
                    "id": "limits",
                    "label": "Replay and reproducibility limits"
                }
            ],
            "references": [
                "airi-2026",
                "otel-genai",
                "nist-genai-profile-2024"
            ],
            "related": [
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "runtime-handoff",
                    "path": "/runtime-handoff/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                }
            ]
        },
        {
            "id": "local-first-control",
            "title": "Local-First Control",
            "path": "/local-first-control/",
            "url": "https://miruntime.com/local-first-control/",
            "summary": "Local-first versus local-only execution, hybrid model routing, data placement, offline continuity, approvals, and exportable evidence.",
            "purpose": "Local-first versus local-only execution, hybrid model routing, data placement, offline continuity, approvals, and exportable evidence.",
            "status": "MiRuntime perspective",
            "statusLabel": "MiRuntime perspective",
            "audience": "Architects, privacy teams, product leaders",
            "level": "Foundational",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "local-first",
                "hybrid AI",
                "privacy"
            ],
            "mainConcepts": [
                "local-first",
                "hybrid AI",
                "privacy"
            ],
            "sections": [
                {
                    "id": "meaning",
                    "label": "Local-first, not local-only"
                },
                {
                    "id": "placement",
                    "label": "Placement decisions"
                },
                {
                    "id": "hybrid",
                    "label": "Hybrid execution"
                },
                {
                    "id": "offline",
                    "label": "Offline continuity"
                },
                {
                    "id": "control",
                    "label": "User-governed control"
                }
            ],
            "references": [
                "local-first-2019",
                "nist-genai-profile-2024",
                "onnx-runtime"
            ],
            "related": [
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                }
            ]
        },
        {
            "id": "governance-and-trust",
            "title": "Security and Governance",
            "path": "/governance-and-trust/",
            "url": "https://miruntime.com/governance-and-trust/",
            "summary": "Runtime threat modeling, prompt injection, least privilege, isolation, egress control, approval gates, evidence, and ownership.",
            "purpose": "Runtime threat modeling, prompt injection, least privilege, isolation, egress control, approval gates, evidence, and ownership.",
            "status": "Production guidance",
            "statusLabel": "Production guidance",
            "audience": "Security, governance, compliance, and platform teams",
            "level": "Advanced",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "security",
                "governance",
                "prompt injection",
                "least privilege"
            ],
            "mainConcepts": [
                "security",
                "governance",
                "prompt injection",
                "least privilege"
            ],
            "sections": [
                {
                    "id": "model",
                    "label": "Runtime threat model"
                },
                {
                    "id": "mapping",
                    "label": "Threat-to-control mapping"
                },
                {
                    "id": "identity",
                    "label": "Identity and least privilege"
                },
                {
                    "id": "oversight",
                    "label": "Human oversight and incident response"
                },
                {
                    "id": "ownership",
                    "label": "Governance ownership"
                }
            ],
            "references": [
                "owasp-prompt-injection-2025",
                "owasp-agentic-threats",
                "nist-airmf-2023",
                "nist-genai-profile-2024",
                "mcp-spec-2025"
            ],
            "related": [
                {
                    "id": "mlops-lineage-and-agent-drift",
                    "path": "/mlops-lineage-and-agent-drift/"
                },
                {
                    "id": "clean-architecture-for-mir",
                    "path": "/clean-architecture-for-mir/"
                },
                {
                    "id": "agent-tool-execution",
                    "path": "/agent-tool-execution/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                }
            ]
        },
        {
            "id": "performance-hardware",
            "title": "Performance and Hardware",
            "path": "/performance-hardware/",
            "url": "https://miruntime.com/performance-hardware/",
            "summary": "Task-level metrics, latency budgets, batching, KV-cache management, runtime overhead, accelerators, edge deployment, cost, and energy.",
            "purpose": "Task-level metrics, latency budgets, batching, KV-cache management, runtime overhead, accelerators, edge deployment, cost, and energy.",
            "status": "Production guidance and research",
            "statusLabel": "Production guidance and research",
            "audience": "Performance engineers, architects, infrastructure teams",
            "level": "Advanced",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "performance",
                "latency",
                "batching",
                "hardware"
            ],
            "mainConcepts": [
                "performance",
                "latency",
                "batching",
                "hardware"
            ],
            "sections": [
                {
                    "id": "metrics",
                    "label": "Task-level metrics"
                },
                {
                    "id": "budget",
                    "label": "Latency budget"
                },
                {
                    "id": "scheduling",
                    "label": "Scheduling and context"
                },
                {
                    "id": "hardware",
                    "label": "Heterogeneous hardware"
                },
                {
                    "id": "method",
                    "label": "Benchmark methodology"
                }
            ],
            "references": [
                "triton-dynamic-batching",
                "vllm-docs",
                "onnx-runtime",
                "test-time-compute-2024"
            ],
            "related": [
                {
                    "id": "inference-infrastructure",
                    "path": "/inference-infrastructure/"
                },
                {
                    "id": "deployment-tradeoffs",
                    "path": "/deployment-tradeoffs/"
                },
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "research-landscape",
                    "path": "/research/landscape/"
                }
            ]
        },
        {
            "id": "protocols-ecosystem",
            "title": "Protocols and Ecosystem",
            "path": "/protocols-ecosystem/",
            "url": "https://miruntime.com/protocols-ecosystem/",
            "summary": "How MCP, A2A, AI gateways, model servers, workflow engines, identity, observability, memory stores, and sandboxes relate to MIR.",
            "purpose": "How MCP, A2A, AI gateways, model servers, workflow engines, identity, observability, memory stores, and sandboxes relate to MIR.",
            "status": "Landscape",
            "statusLabel": "Landscape",
            "audience": "Architects, integration engineers, researchers",
            "level": "Technical",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "MCP",
                "A2A",
                "AI gateway",
                "observability"
            ],
            "mainConcepts": [
                "MCP",
                "A2A",
                "AI gateway",
                "observability"
            ],
            "sections": [
                {
                    "id": "map",
                    "label": "Neutral architecture map"
                },
                {
                    "id": "mcp",
                    "label": "MCP placement"
                },
                {
                    "id": "a2a",
                    "label": "Agent interoperability"
                },
                {
                    "id": "adjacent",
                    "label": "Adjacent systems"
                },
                {
                    "id": "selection",
                    "label": "Selection questions"
                }
            ],
            "references": [
                "mcp-spec-2025",
                "a2a-spec",
                "otel-genai",
                "onnx-runtime",
                "vllm-docs"
            ],
            "related": [
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "research-landscape",
                    "path": "/research/landscape/"
                },
                {
                    "id": "agent-tool-execution",
                    "path": "/agent-tool-execution/"
                }
            ]
        },
        {
            "id": "developers",
            "title": "Developer Guide",
            "path": "/developers/",
            "url": "https://miruntime.com/developers/",
            "summary": "Conceptual contracts, implementation boundaries, observability conventions, testing strategy, evidence requirements, and developer resources for MIR.",
            "purpose": "Provide conceptual contracts, reference schemas, implementation pathways, and role-based reading paths for MIR engineers.",
            "status": "Reference guide",
            "statusLabel": "Reference guide",
            "audience": "Developers and platform engineers",
            "level": "Technical",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "developer guide",
                "contracts",
                "testing"
            ],
            "mainConcepts": [
                "implementation pathways",
                "build sequence",
                "role-based reading path",
                "conceptual contracts",
                "no-SDK boundary"
            ],
            "sections": [
                {
                    "id": "boundary",
                    "label": "Conceptual contract boundary"
                },
                {
                    "id": "principles",
                    "label": "Engineering principles"
                },
                {
                    "id": "pathways",
                    "label": "Implementation pathways"
                },
                {
                    "id": "sequence",
                    "label": "Build sequence"
                },
                {
                    "id": "roles",
                    "label": "Role-based reading paths"
                },
                {
                    "id": "contract",
                    "label": "Runtime contract"
                },
                {
                    "id": "tools",
                    "label": "Tools and policy"
                },
                {
                    "id": "testing",
                    "label": "Testing stochastic workflows"
                },
                {
                    "id": "downloads",
                    "label": "Reference downloads"
                }
            ],
            "references": [
                "mcp-spec-2025",
                "otel-genai",
                "nist-airmf-2023",
                "owasp-agentic-threats"
            ],
            "related": [
                {
                    "id": "clean-architecture-for-mir",
                    "path": "/clean-architecture-for-mir/"
                },
                {
                    "id": "mir-design-patterns",
                    "path": "/mir-design-patterns/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                },
                {
                    "id": "developer-implementation-guides",
                    "path": "/developers/implementation-guides/"
                },
                {
                    "id": "developer-quickstart",
                    "path": "/developers/quickstart/"
                },
                {
                    "id": "developer-teleodynamic-runtime-profile",
                    "path": "/developers/teleodynamic-runtime-profile/"
                }
            ]
        },
        {
            "id": "developer-runtime-contract",
            "title": "Runtime Contract",
            "path": "/developers/runtime-contract/",
            "url": "https://miruntime.com/developers/runtime-contract/",
            "summary": "A conceptual, versioned contract for intent, context, authority, execution state, budgets, recovery, and evidence.",
            "purpose": "A conceptual, versioned contract for intent, context, authority, execution state, budgets, recovery, and evidence.",
            "status": "Reference contract",
            "statusLabel": "Reference contract",
            "audience": "Developers and platform engineers",
            "level": "Technical",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "runtime contract",
                "schema",
                "state machine"
            ],
            "mainConcepts": [
                "runtime contract",
                "schema",
                "state machine"
            ],
            "sections": [
                {
                    "id": "shape",
                    "label": "Contract shape"
                },
                {
                    "id": "state",
                    "label": "Lifecycle and transitions"
                },
                {
                    "id": "validation",
                    "label": "Validation rules"
                },
                {
                    "id": "versioning",
                    "label": "Versioning and portability"
                },
                {
                    "id": "download",
                    "label": "Download schema"
                }
            ],
            "references": [
                "airi-2026",
                "nist-airmf-2023",
                "otel-genai"
            ],
            "related": [
                {
                    "id": "clean-architecture-for-mir",
                    "path": "/clean-architecture-for-mir/"
                },
                {
                    "id": "event-driven-runtime-orchestration",
                    "path": "/event-driven-runtime-orchestration/"
                },
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                }
            ]
        },
        {
            "id": "developer-tool-contracts",
            "title": "Tool Contracts",
            "path": "/developers/tool-contracts/",
            "url": "https://miruntime.com/developers/tool-contracts/",
            "summary": "A typed tool contract for schemas, permissions, side effects, credentials, idempotency, rollback, and evidence.",
            "purpose": "A typed tool contract for schemas, permissions, side effects, credentials, idempotency, rollback, and evidence.",
            "status": "Reference contract",
            "statusLabel": "Reference contract",
            "audience": "Developers, security engineers, connector owners",
            "level": "Technical",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "tool contract",
                "permissions",
                "MCP"
            ],
            "mainConcepts": [
                "tool contract",
                "permissions",
                "MCP"
            ],
            "sections": [
                {
                    "id": "shape",
                    "label": "Annotated contract"
                },
                {
                    "id": "permissions",
                    "label": "Permission and risk"
                },
                {
                    "id": "execution",
                    "label": "Execution rules"
                },
                {
                    "id": "mcp",
                    "label": "MCP integration"
                },
                {
                    "id": "download",
                    "label": "Download schema"
                }
            ],
            "references": [
                "mcp-spec-2025",
                "owasp-agentic-threats",
                "owasp-prompt-injection-2025"
            ],
            "related": [
                {
                    "id": "agent-tool-execution",
                    "path": "/agent-tool-execution/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                }
            ]
        },
        {
            "id": "developer-evidence-schema",
            "title": "Evidence Schema",
            "path": "/developers/evidence-schema/",
            "url": "https://miruntime.com/developers/evidence-schema/",
            "summary": "A conceptual event schema for requests, context, policy, approvals, tools, artifacts, failures, recovery, and uncertainty.",
            "purpose": "A conceptual event schema for requests, context, policy, approvals, tools, artifacts, failures, recovery, and uncertainty.",
            "status": "Reference contract",
            "statusLabel": "Reference contract",
            "audience": "Developers, auditors, governance teams",
            "level": "Technical",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "evidence schema",
                "audit",
                "telemetry"
            ],
            "mainConcepts": [
                "evidence schema",
                "audit",
                "telemetry"
            ],
            "sections": [
                {
                    "id": "principles",
                    "label": "Schema principles"
                },
                {
                    "id": "event",
                    "label": "Event shape"
                },
                {
                    "id": "events",
                    "label": "Required event types"
                },
                {
                    "id": "privacy",
                    "label": "Privacy and retention"
                },
                {
                    "id": "download",
                    "label": "Download schema"
                }
            ],
            "references": [
                "otel-genai",
                "nist-genai-profile-2024"
            ],
            "related": [
                {
                    "id": "event-driven-runtime-orchestration",
                    "path": "/event-driven-runtime-orchestration/"
                },
                {
                    "id": "mlops-lineage-and-agent-drift",
                    "path": "/mlops-lineage-and-agent-drift/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "runtime-handoff",
                    "path": "/runtime-handoff/"
                }
            ]
        },
        {
            "id": "developer-implementation-checklist",
            "title": "Implementation Checklist",
            "path": "/developers/implementation-checklist/",
            "url": "https://miruntime.com/developers/implementation-checklist/",
            "summary": "A launch checklist for architecture, authority, tools, memory, recovery, evidence, testing, privacy, and operations.",
            "purpose": "A launch checklist for architecture, authority, tools, memory, recovery, evidence, testing, privacy, and operations.",
            "status": "Implementation checklist",
            "statusLabel": "Implementation checklist",
            "audience": "Engineering, security, governance, operations",
            "level": "Technical",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "implementation",
                "checklist",
                "release"
            ],
            "mainConcepts": [
                "runtime controls",
                "research-aware controls",
                "developer implementation controls",
                "operator stop",
                "schema versioning"
            ],
            "sections": [
                {
                    "id": "scope",
                    "label": "Scope and architecture"
                },
                {
                    "id": "authority",
                    "label": "Identity and authority"
                },
                {
                    "id": "execution",
                    "label": "Execution and recovery"
                },
                {
                    "id": "evidence",
                    "label": "Evidence and operations"
                },
                {
                    "id": "release",
                    "label": "Release gates"
                },
                {
                    "id": "research-aware-controls",
                    "label": "Research-aware controls"
                },
                {
                    "id": "developer-controls",
                    "label": "Developer implementation controls"
                }
            ],
            "references": [
                "nist-airmf-2023",
                "owasp-agentic-threats",
                "mcp-spec-2025",
                "otel-genai"
            ],
            "related": [
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "performance-hardware",
                    "path": "/performance-hardware/"
                }
            ]
        },
        {
            "id": "use-cases",
            "title": "Use Cases",
            "path": "/use-cases/",
            "url": "https://miruntime.com/use-cases/",
            "summary": "A filterable use-case guide covering objectives, runtime state, risk, approvals, evidence, recovery, and when MIR is unnecessary.",
            "purpose": "A filterable use-case guide covering objectives, runtime state, risk, approvals, evidence, recovery, and when MIR is unnecessary.",
            "status": "Decision guide",
            "statusLabel": "Decision guide",
            "audience": "Architects, product leaders, developers",
            "level": "Foundational",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "use cases",
                "risk",
                "approval"
            ],
            "mainConcepts": [
                "use cases",
                "risk",
                "approval"
            ],
            "sections": [
                {
                    "id": "guide",
                    "label": "How to use the explorer"
                },
                {
                    "id": "explorer",
                    "label": "Use-case explorer"
                },
                {
                    "id": "simpler",
                    "label": "When to use a simpler system"
                }
            ],
            "references": [
                "nist-airmf-2023",
                "owasp-agentic-threats"
            ],
            "related": [
                {
                    "id": "machine-intelligence-runtime",
                    "path": "/machine-intelligence-runtime/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "developers",
                    "path": "/developers/"
                }
            ]
        },
        {
            "id": "research",
            "title": "Research",
            "path": "/research/",
            "url": "https://miruntime.com/research/",
            "summary": "A searchable research and primary-source index for runtime intelligence, managed execution, protocols, security, observability, and inference.",
            "purpose": "Provide a source-aware research index, program map, status vocabulary, open-gap register, and public data export.",
            "status": "Research index",
            "statusLabel": "Research index",
            "audience": "Researchers, technical readers, architects",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "research",
                "papers",
                "sources",
                "claim register",
                "source evidence"
            ],
            "mainConcepts": [
                "research programs",
                "source index",
                "editorial status",
                "open research gaps",
                "public research data"
            ],
            "sections": [
                {
                    "id": "method",
                    "label": "Editorial method"
                },
                {
                    "id": "programs",
                    "label": "Research programs"
                },
                {
                    "id": "status-legend",
                    "label": "Status legend"
                },
                {
                    "id": "index",
                    "label": "Research index"
                },
                {
                    "id": "gaps",
                    "label": "Open research gaps"
                },
                {
                    "id": "data",
                    "label": "Research data export"
                }
            ],
            "references": [
                "airi-2026",
                "test-time-compute-2024",
                "mcp-spec-2025",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "research-reports",
                    "path": "/research/reports/"
                },
                {
                    "id": "research-landscape",
                    "path": "/research/landscape/"
                },
                {
                    "id": "future-of-ai-runtimes",
                    "path": "/future-of-ai-runtimes/"
                },
                {
                    "id": "teleodynamic-runtimes",
                    "path": "/research/teleodynamic-runtimes/"
                },
                {
                    "id": "runtime-benchmarks-and-evaluation",
                    "path": "/research/runtime-benchmarks-and-evaluation/"
                },
                {
                    "id": "reproducibility-evidence-and-open-questions",
                    "path": "/research/reproducibility-evidence-and-open-questions/"
                }
            ]
        },
        {
            "id": "research-reports",
            "title": "Reports",
            "path": "/research/reports/",
            "url": "https://miruntime.com/research/reports/",
            "summary": "Long-form MiRuntime reports with review dates, source status, footnotes, and explicit boundaries between evidence and synthesis.",
            "purpose": "Long-form MiRuntime reports with review dates, source status, footnotes, and explicit boundaries between evidence and synthesis.",
            "status": "Editorial collection",
            "statusLabel": "Editorial collection",
            "audience": "Researchers and technical readers",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "reports",
                "editorial method",
                "citations"
            ],
            "mainConcepts": [
                "reports",
                "editorial method",
                "citations"
            ],
            "sections": [
                {
                    "id": "collection",
                    "label": "Report collection"
                },
                {
                    "id": "method",
                    "label": "Publication method"
                },
                {
                    "id": "citation",
                    "label": "Citation policy"
                },
                {
                    "id": "teleodynamic-report",
                    "label": "Teleodynamic runtime synthesis"
                }
            ],
            "references": [
                "airi-2026",
                "test-time-compute-2024",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "report-machine-intelligence-runtime",
                    "path": "/research/reports/machine-intelligence-runtime/"
                },
                {
                    "id": "report-future-architectures",
                    "path": "/research/reports/machine-intelligence-runtime-architectures-future-ai/"
                },
                {
                    "id": "research",
                    "path": "/research/"
                },
                {
                    "id": "report-teleodynamic-machine-intelligence-runtime",
                    "path": "/research/reports/teleodynamic-machine-intelligence-runtime/"
                },
                {
                    "id": "teleodynamic-runtimes",
                    "path": "/research/teleodynamic-runtimes/"
                }
            ]
        },
        {
            "id": "research-landscape",
            "title": "Industry Landscape",
            "path": "/research/landscape/",
            "url": "https://miruntime.com/research/landscape/",
            "summary": "A neutral matrix of inference runtimes, agent frameworks, managed agent platforms, gateways, workflow systems, protocols, observability, and isolation.",
            "purpose": "A neutral matrix of inference runtimes, agent frameworks, managed agent platforms, gateways, workflow systems, protocols, observability, and isolation.",
            "status": "Neutral landscape",
            "statusLabel": "Neutral landscape",
            "audience": "Architects and strategy leaders",
            "level": "Technical",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "industry landscape",
                "vendors",
                "open source"
            ],
            "mainConcepts": [
                "industry landscape",
                "vendors",
                "open source"
            ],
            "sections": [
                {
                    "id": "matrix",
                    "label": "Landscape matrix"
                },
                {
                    "id": "status",
                    "label": "How status is labeled"
                },
                {
                    "id": "questions",
                    "label": "Evaluation questions"
                }
            ],
            "references": [
                "aws-agentcore",
                "google-agent-platform",
                "onnx-runtime",
                "vllm-docs",
                "mcp-spec-2025",
                "a2a-spec",
                "otel-genai"
            ],
            "related": [
                {
                    "id": "protocols-ecosystem",
                    "path": "/protocols-ecosystem/"
                },
                {
                    "id": "performance-hardware",
                    "path": "/performance-hardware/"
                },
                {
                    "id": "research",
                    "path": "/research/"
                }
            ]
        },
        {
            "id": "report-machine-intelligence-runtime",
            "title": "Report: Machine Intelligence Runtime",
            "path": "/research/reports/machine-intelligence-runtime/",
            "url": "https://miruntime.com/research/reports/machine-intelligence-runtime/",
            "summary": "A structured editorial report defining MIR, its architecture, operational responsibilities, governance, performance, and open research questions.",
            "purpose": "A structured editorial report defining MIR, its architecture, operational responsibilities, governance, performance, and open research questions.",
            "status": "Editorial synthesis",
            "statusLabel": "Editorial synthesis",
            "audience": "Researchers, architects, technical leaders",
            "level": "Advanced",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "report",
                "MIR",
                "research synthesis"
            ],
            "mainConcepts": [
                "report",
                "MIR",
                "research synthesis"
            ],
            "sections": [
                {
                    "id": "abstract",
                    "label": "Abstract"
                },
                {
                    "id": "architecture",
                    "label": "Architecture"
                },
                {
                    "id": "operations",
                    "label": "Operational responsibilities"
                },
                {
                    "id": "security",
                    "label": "Security and governance"
                },
                {
                    "id": "research",
                    "label": "Research gaps"
                },
                {
                    "id": "method",
                    "label": "Source note"
                }
            ],
            "references": [
                "airi-2026",
                "test-time-compute-2024",
                "mcp-spec-2025",
                "nist-airmf-2023",
                "owasp-agentic-threats",
                "otel-genai"
            ],
            "related": [
                {
                    "id": "machine-intelligence-runtime",
                    "path": "/machine-intelligence-runtime/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "report-future-architectures",
                    "path": "/research/reports/machine-intelligence-runtime-architectures-future-ai/"
                }
            ]
        },
        {
            "id": "report-future-architectures",
            "title": "Report: MIR Architectures and the Future of AI",
            "path": "/research/reports/machine-intelligence-runtime-architectures-future-ai/",
            "url": "https://miruntime.com/research/reports/machine-intelligence-runtime-architectures-future-ai/",
            "summary": "A reviewed synthesis of runtime intelligence, managed execution, protocols, security, performance, and future MIR scenarios.",
            "purpose": "A reviewed synthesis of runtime intelligence, managed execution, protocols, security, performance, and future MIR scenarios.",
            "status": "Editorial synthesis",
            "statusLabel": "Editorial synthesis",
            "audience": "Researchers, architects, strategy leaders",
            "level": "Advanced",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "future report",
                "runtime intelligence",
                "managed runtime"
            ],
            "mainConcepts": [
                "future report",
                "runtime intelligence",
                "managed runtime"
            ],
            "sections": [
                {
                    "id": "abstract",
                    "label": "Abstract"
                },
                {
                    "id": "intelligence",
                    "label": "Runtime intelligence"
                },
                {
                    "id": "managed",
                    "label": "Managed execution"
                },
                {
                    "id": "ecosystem",
                    "label": "Protocols and ecosystem"
                },
                {
                    "id": "future",
                    "label": "Future scenarios"
                },
                {
                    "id": "omissions",
                    "label": "Verification and omissions"
                }
            ],
            "references": [
                "airi-2026",
                "test-time-compute-2024",
                "vigil-2025",
                "atlas-rtc-2026",
                "mcp-spec-2025",
                "a2a-spec",
                "aws-agentcore",
                "google-agent-platform",
                "owasp-agentic-threats"
            ],
            "related": [
                {
                    "id": "future-of-ai-runtimes",
                    "path": "/future-of-ai-runtimes/"
                },
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                },
                {
                    "id": "research-landscape",
                    "path": "/research/landscape/"
                }
            ]
        },
        {
            "id": "future-of-ai-runtimes",
            "title": "The Future of AI Runtimes",
            "path": "/future-of-ai-runtimes/",
            "url": "https://miruntime.com/future-of-ai-runtimes/",
            "summary": "A restrained timeline separating current capabilities, near-term developments, open research, and long-range MIR scenarios.",
            "purpose": "A restrained timeline separating current capabilities, near-term developments, open research, and long-range MIR scenarios.",
            "status": "Forecast and MiRuntime perspective",
            "statusLabel": "Forecast and MiRuntime perspective",
            "audience": "Architects, researchers, strategy leaders",
            "level": "Advanced",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "future",
                "forecast",
                "AI runtimes"
            ],
            "mainConcepts": [
                "future",
                "forecast",
                "AI runtimes"
            ],
            "sections": [
                {
                    "id": "thesis",
                    "label": "Future thesis"
                },
                {
                    "id": "current",
                    "label": "Current capabilities"
                },
                {
                    "id": "near",
                    "label": "Near-term developments"
                },
                {
                    "id": "research",
                    "label": "Open research"
                },
                {
                    "id": "long",
                    "label": "Long-range scenarios"
                },
                {
                    "id": "assumptions",
                    "label": "Assumptions and uncertainty"
                }
            ],
            "references": [
                "airi-2026",
                "test-time-compute-2024",
                "mcp-spec-2025",
                "a2a-spec",
                "vigil-2025",
                "atlas-rtc-2026"
            ],
            "related": [
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                },
                {
                    "id": "protocols-ecosystem",
                    "path": "/protocols-ecosystem/"
                },
                {
                    "id": "research",
                    "path": "/research/"
                }
            ]
        },
        {
            "id": "glossary",
            "title": "Glossary",
            "path": "/glossary/",
            "url": "https://miruntime.com/glossary/",
            "summary": "Searchable definitions for Machine Intelligence Runtime architecture, security, memory, tools, recovery, evidence, and performance.",
            "purpose": "Searchable definitions for Machine Intelligence Runtime architecture, security, memory, tools, recovery, evidence, and performance.",
            "status": "Definition",
            "statusLabel": "Definition",
            "audience": "All audiences",
            "level": "Reference",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "glossary",
                "definitions"
            ],
            "mainConcepts": [
                "glossary",
                "definitions"
            ],
            "sections": [
                {
                    "id": "terms",
                    "label": "Terms"
                },
                {
                    "id": "download",
                    "label": "Glossary data"
                }
            ],
            "references": [],
            "related": [
                {
                    "id": "machine-intelligence-runtime",
                    "path": "/machine-intelligence-runtime/"
                },
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "research",
                    "path": "/research/"
                }
            ]
        },
        {
            "id": "runtime-handoff",
            "title": "AI Runtime Handoff",
            "path": "/runtime-handoff/",
            "url": "https://miruntime.com/runtime-handoff/",
            "summary": "Structured project memory, active file intake, review gates, dispositions, and durable evidence for handoff between human and AI sessions.",
            "purpose": "Structured project memory, active file intake, review gates, dispositions, and durable evidence for handoff between human and AI sessions.",
            "status": "Production workflow",
            "statusLabel": "Production workflow",
            "audience": "Developers, project owners, AI operators",
            "level": "Technical",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "handoff",
                "project memory",
                "file intake"
            ],
            "mainConcepts": [
                "handoff",
                "project memory",
                "file intake"
            ],
            "sections": [
                {
                    "id": "purpose",
                    "label": "Why handoff belongs in MIR"
                },
                {
                    "id": "intake",
                    "label": "Active file intake"
                },
                {
                    "id": "package",
                    "label": "Project memory package"
                },
                {
                    "id": "proof",
                    "label": "Proof of use"
                }
            ],
            "references": [],
            "related": [
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developers",
                    "path": "/developers/"
                }
            ]
        },
        {
            "id": "about",
            "title": "About MiRuntime and Michael Kappel",
            "path": "/about/",
            "url": "https://miruntime.com/about/",
            "summary": "MiRuntime.com’s mission, Michael Kappel’s public operator profile, editorial methodology, correction workflow, source policy, and publication boundaries.",
            "purpose": "MiRuntime.com’s mission, Michael Kappel’s public operator profile, editorial methodology, correction workflow, source policy, and publication boundaries.",
            "status": "Editorial method and publication identity",
            "statusLabel": "Editorial method and publication identity",
            "audience": "Architects, developers, researchers, reviewers, and collaborators",
            "level": "Overview",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "about",
                "Michael Kappel",
                "methodology",
                "mission",
                "corrections"
            ],
            "mainConcepts": [
                "about",
                "Michael Kappel",
                "methodology",
                "mission",
                "corrections"
            ],
            "sections": [
                {
                    "id": "mission",
                    "label": "Mission"
                },
                {
                    "id": "maintainer",
                    "label": "Maintainer"
                },
                {
                    "id": "experience",
                    "label": "Experience"
                },
                {
                    "id": "method",
                    "label": "Editorial method"
                },
                {
                    "id": "corrections",
                    "label": "Corrections"
                },
                {
                    "id": "boundaries",
                    "label": "Boundaries"
                }
            ],
            "references": [
                "michael-kappel-portfolio",
                "michael-kappel-github",
                "airi-2026",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "research",
                    "path": "/research/"
                },
                {
                    "id": "contact",
                    "path": "/contact/"
                },
                {
                    "id": "accessibility",
                    "path": "/accessibility/"
                }
            ]
        },
        {
            "id": "contact",
            "title": "Contact Michael Kappel",
            "path": "/contact/",
            "url": "https://miruntime.com/contact/",
            "summary": "Contact Michael Kappel about Machine Intelligence Runtime, software architecture, research, governance, developer implementation, or collaboration.",
            "purpose": "Contact Michael Kappel about Machine Intelligence Runtime, software architecture, research, governance, developer implementation, or collaboration.",
            "status": "Contact and operator profile",
            "statusLabel": "Contact and operator profile",
            "audience": "Architects, researchers, engineering leaders, developers, collaborators",
            "level": "Overview",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "contact",
                "Michael Kappel",
                "software architecture",
                "collaboration"
            ],
            "mainConcepts": [
                "contact",
                "Michael Kappel",
                "software architecture",
                "collaboration"
            ],
            "sections": [
                {
                    "id": "direct-contact",
                    "label": "Direct contact"
                },
                {
                    "id": "experience",
                    "label": "Experience"
                },
                {
                    "id": "topics",
                    "label": "Discussion topics"
                },
                {
                    "id": "form",
                    "label": "Contact form"
                },
                {
                    "id": "handling",
                    "label": "Data handling"
                }
            ],
            "references": [],
            "related": [
                {
                    "id": "about",
                    "path": "/about/"
                },
                {
                    "id": "privacy",
                    "path": "/privacy/"
                },
                {
                    "id": "research",
                    "path": "/research/"
                }
            ]
        },
        {
            "id": "privacy",
            "title": "Privacy",
            "path": "/privacy/",
            "url": "https://miruntime.com/privacy/",
            "summary": "Privacy information covering guaranteed theme behavior and operator-recorded hosting, mail, analytics, cookies, logs, retention, backups, and request procedures.",
            "purpose": "Privacy information covering guaranteed theme behavior and operator-recorded hosting, mail, analytics, cookies, logs, retention, backups, and request procedures.",
            "status": "Deployment-aware privacy policy",
            "statusLabel": "Deployment-aware privacy policy",
            "audience": "All visitors",
            "level": "Legal and operational",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "privacy",
                "data handling"
            ],
            "mainConcepts": [
                "privacy",
                "data handling"
            ],
            "sections": [
                {
                    "id": "summary",
                    "label": "Summary"
                },
                {
                    "id": "data",
                    "label": "Data handled"
                },
                {
                    "id": "contact",
                    "label": "Contact submissions"
                },
                {
                    "id": "storage",
                    "label": "Local storage and cookies"
                },
                {
                    "id": "deployment",
                    "label": "Deployment facts"
                },
                {
                    "id": "retention",
                    "label": "Retention and deletion"
                },
                {
                    "id": "rights",
                    "label": "Requests and changes"
                }
            ],
            "references": [],
            "related": [
                {
                    "id": "contact",
                    "path": "/contact/"
                },
                {
                    "id": "accessibility",
                    "path": "/accessibility/"
                },
                {
                    "id": "about",
                    "path": "/about/"
                }
            ]
        },
        {
            "id": "accessibility",
            "title": "Accessibility",
            "path": "/accessibility/",
            "url": "https://miruntime.com/accessibility/",
            "summary": "Accessibility statement for the MiRuntime theme, including keyboard access, reduced motion, themes, diagrams, testing, and known deployment responsibilities.",
            "purpose": "Accessibility statement for the MiRuntime theme, including keyboard access, reduced motion, themes, diagrams, testing, and known deployment responsibilities.",
            "status": "Accessibility statement",
            "statusLabel": "Accessibility statement",
            "audience": "All visitors",
            "level": "Reference",
            "lastReviewed": "2026-06-27",
            "lastReviewedUtc": "2026-06-27T00:00:00Z",
            "topics": [
                "accessibility",
                "WCAG"
            ],
            "mainConcepts": [
                "accessibility",
                "WCAG"
            ],
            "sections": [
                {
                    "id": "commitment",
                    "label": "Commitment"
                },
                {
                    "id": "features",
                    "label": "Implemented features"
                },
                {
                    "id": "testing",
                    "label": "Testing"
                },
                {
                    "id": "limitations",
                    "label": "Known responsibilities"
                },
                {
                    "id": "feedback",
                    "label": "Feedback"
                }
            ],
            "references": [],
            "related": [
                {
                    "id": "contact",
                    "path": "/contact/"
                },
                {
                    "id": "privacy",
                    "path": "/privacy/"
                },
                {
                    "id": "about",
                    "path": "/about/"
                }
            ]
        },
        {
            "id": "architecture-deep-dive",
            "title": "Architecture Deep Dive",
            "path": "/architecture-deep-dive/",
            "url": "https://miruntime.com/architecture-deep-dive/",
            "summary": "Implementation-oriented architecture guidance for building Machine Intelligence Runtimes with deterministic boundaries, typed authority, recovery, evidence, and production infrastructure.",
            "purpose": "Connect the seven-layer MIR reference architecture to concrete enterprise architecture practices and deployment decisions.",
            "status": "Editorial guidance",
            "statusLabel": "Editorial guidance",
            "audience": "Platform architects, senior developers, infrastructure teams, AI engineers, enterprise software architects",
            "level": "Advanced",
            "lastReviewed": "2026-06-23",
            "lastReviewedUtc": "2026-06-23T00:00:00Z",
            "topics": [
                "architecture deep dive",
                "clean architecture",
                "design patterns",
                "event-driven runtime",
                "inference infrastructure",
                "MLOps",
                "deployment"
            ],
            "mainConcepts": [
                "deterministic boundaries",
                "typed authority",
                "recoverable execution",
                "reviewable evidence",
                "ports and adapters",
                "runtime orchestration"
            ],
            "sections": [
                {
                    "id": "why",
                    "label": "Why this section exists"
                },
                {
                    "id": "map",
                    "label": "Architecture map"
                },
                {
                    "id": "principle",
                    "label": "Core principle"
                },
                {
                    "id": "use",
                    "label": "How to use the deep dive"
                }
            ],
            "references": [
                "microsoft-clean-architecture",
                "azure-cloud-design-patterns",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "control-plane-runtime-plane",
                    "path": "/control-plane-runtime-plane/"
                },
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                },
                {
                    "id": "performance-hardware",
                    "path": "/performance-hardware/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                }
            ]
        },
        {
            "id": "clean-architecture-for-mir",
            "title": "Clean Architecture for Machine Intelligence Runtime",
            "path": "/clean-architecture-for-mir/",
            "url": "https://miruntime.com/clean-architecture-for-mir/",
            "summary": "Apply Clean Architecture, Hexagonal Architecture, and Ports-and-Adapters principles to Machine Intelligence Runtime without placing policy, state, or authority in prompts.",
            "purpose": "Define inward dependency rules, explicit ports, and capability-first organization for MIR implementations.",
            "status": "Production practice",
            "statusLabel": "Production practice",
            "audience": "Platform architects, senior developers, AI platform teams",
            "level": "Advanced",
            "lastReviewed": "2026-06-23",
            "lastReviewedUtc": "2026-06-23T00:00:00Z",
            "topics": [
                "clean architecture",
                "hexagonal architecture",
                "ports and adapters",
                "dependency inversion",
                "AI-assisted development"
            ],
            "mainConcepts": [
                "architectural liquefaction",
                "dependency rule",
                "ports",
                "adapters",
                "prompt boundary",
                "capability-first directories"
            ],
            "sections": [
                {
                    "id": "strictness",
                    "label": "Why AI needs stricter architecture"
                },
                {
                    "id": "layers",
                    "label": "Clean Architecture layer mapping"
                },
                {
                    "id": "ports",
                    "label": "Ports and adapters"
                },
                {
                    "id": "outside-prompt",
                    "label": "What belongs outside the prompt"
                },
                {
                    "id": "capability-first",
                    "label": "Capability-first organization"
                }
            ],
            "references": [
                "microsoft-clean-architecture",
                "nist-airmf-2023",
                "owasp-prompt-injection-2025"
            ],
            "related": [
                {
                    "id": "architecture-deep-dive",
                    "path": "/architecture-deep-dive/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "mir-design-patterns",
                    "path": "/mir-design-patterns/"
                }
            ]
        },
        {
            "id": "mir-design-patterns",
            "title": "Machine Intelligence Runtime Design Patterns",
            "path": "/mir-design-patterns/",
            "url": "https://miruntime.com/mir-design-patterns/",
            "summary": "Map enterprise design patterns to MIR orchestration, policy, tools, model adapters, recovery, lifecycle, and evidence with compact C# contracts.",
            "purpose": "Show where established design patterns belong in the seven-layer MIR architecture and which anti-patterns they prevent.",
            "status": "Production practice",
            "statusLabel": "Production practice",
            "audience": "Software architects, senior developers, runtime and platform engineers",
            "level": "Advanced",
            "lastReviewed": "2026-06-23",
            "lastReviewedUtc": "2026-06-23T00:00:00Z",
            "topics": [
                "design patterns",
                "adapter",
                "strategy",
                "saga",
                "event sourcing",
                "CQRS",
                "state machine",
                "circuit breaker"
            ],
            "mainConcepts": [
                "pattern placement",
                "runtime state machine",
                "typed evidence",
                "compensation",
                "provider isolation"
            ],
            "sections": [
                {
                    "id": "pattern-map",
                    "label": "Pattern map"
                },
                {
                    "id": "placement",
                    "label": "Pattern-to-layer placement"
                },
                {
                    "id": "anti-patterns",
                    "label": "Anti-patterns"
                },
                {
                    "id": "contracts",
                    "label": "Code-oriented contracts"
                }
            ],
            "references": [
                "azure-cloud-design-patterns",
                "microsoft-clean-architecture",
                "otel-genai"
            ],
            "related": [
                {
                    "id": "architecture-deep-dive",
                    "path": "/architecture-deep-dive/"
                },
                {
                    "id": "clean-architecture-for-mir",
                    "path": "/clean-architecture-for-mir/"
                },
                {
                    "id": "event-driven-runtime-orchestration",
                    "path": "/event-driven-runtime-orchestration/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                }
            ]
        },
        {
            "id": "event-driven-runtime-orchestration",
            "title": "Event-Driven Runtime Orchestration",
            "path": "/event-driven-runtime-orchestration/",
            "url": "https://miruntime.com/event-driven-runtime-orchestration/",
            "summary": "Design asynchronous Machine Intelligence Runtime workflows with durable state, typed events, approvals, checkpoints, recovery, idempotency, and evidence.",
            "purpose": "Explain why long-running MIR workflows require durable state and event-driven execution rather than an open HTTP request.",
            "status": "Production practice",
            "statusLabel": "Production practice",
            "audience": "Platform architects, distributed-systems engineers, AI runtime teams",
            "level": "Advanced",
            "lastReviewed": "2026-06-23",
            "lastReviewedUtc": "2026-06-23T00:00:00Z",
            "topics": [
                "event-driven architecture",
                "durable workflow",
                "human approval",
                "state machine",
                "transactional outbox",
                "idempotency"
            ],
            "mainConcepts": [
                "durable run",
                "event sequence",
                "control loop",
                "approval queue",
                "checkpoint",
                "compensation"
            ],
            "sections": [
                {
                    "id": "fragility",
                    "label": "Why synchronous execution is fragile"
                },
                {
                    "id": "sequence",
                    "label": "Event sequence"
                },
                {
                    "id": "control-loop",
                    "label": "Control loop"
                },
                {
                    "id": "human-loop",
                    "label": "Human-in-the-loop"
                },
                {
                    "id": "implementation",
                    "label": "Implementation guidance"
                }
            ],
            "references": [
                "azure-cloud-design-patterns",
                "temporal-durable-execution",
                "otel-genai"
            ],
            "related": [
                {
                    "id": "architecture-deep-dive",
                    "path": "/architecture-deep-dive/"
                },
                {
                    "id": "control-plane-runtime-plane",
                    "path": "/control-plane-runtime-plane/"
                },
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "deployment-tradeoffs",
                    "path": "/deployment-tradeoffs/"
                }
            ]
        },
        {
            "id": "inference-infrastructure",
            "title": "Inference Infrastructure for Machine Intelligence Runtime",
            "path": "/inference-infrastructure/",
            "url": "https://miruntime.com/inference-infrastructure/",
            "summary": "Understand model-serving concerns—KV cache, batching, prefill, decode, streaming, placement, locality, cost, and failures—without reducing MIR to inference serving.",
            "purpose": "Define the infrastructure knowledge MIR needs while preserving a provider-neutral model adapter boundary.",
            "status": "Production practice",
            "statusLabel": "Production practice",
            "audience": "AI infrastructure teams, platform architects, performance engineers",
            "level": "Advanced",
            "lastReviewed": "2026-06-23",
            "lastReviewedUtc": "2026-06-23T00:00:00Z",
            "topics": [
                "inference infrastructure",
                "KV cache",
                "continuous batching",
                "prefill",
                "decode",
                "vLLM",
                "Triton",
                "ONNX Runtime"
            ],
            "mainConcepts": [
                "model serving boundary",
                "capacity profile",
                "streaming",
                "placement",
                "safe retry",
                "provider normalization"
            ],
            "sections": [
                {
                    "id": "boundary",
                    "label": "MIR is not only model serving"
                },
                {
                    "id": "concerns",
                    "label": "Inference concerns MIR must understand"
                },
                {
                    "id": "adapter-contract",
                    "label": "Model adapter contract"
                },
                {
                    "id": "comparison",
                    "label": "Serving-layer comparison"
                },
                {
                    "id": "measurement",
                    "label": "Measurement discipline"
                }
            ],
            "references": [
                "vllm-docs",
                "triton-architecture",
                "triton-dynamic-batching",
                "onnx-runtime"
            ],
            "related": [
                {
                    "id": "architecture-deep-dive",
                    "path": "/architecture-deep-dive/"
                },
                {
                    "id": "performance-hardware",
                    "path": "/performance-hardware/"
                },
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                },
                {
                    "id": "deployment-tradeoffs",
                    "path": "/deployment-tradeoffs/"
                },
                {
                    "id": "clean-architecture-for-mir",
                    "path": "/clean-architecture-for-mir/"
                }
            ]
        },
        {
            "id": "mlops-lineage-and-agent-drift",
            "title": "MLOps, Lineage, and Agent Drift",
            "path": "/mlops-lineage-and-agent-drift/",
            "url": "https://miruntime.com/mlops-lineage-and-agent-drift/",
            "summary": "Connect model registries, runtime profiles, evidence, atomic deployment, rollback, and drift controls for long-lived model-driven systems.",
            "purpose": "Define the operational records and controls needed to understand what was deployed, what ran, and how behavior changes over time.",
            "status": "Emerging practice",
            "statusLabel": "Emerging practice",
            "audience": "MLOps teams, platform architects, governance teams, AI engineers",
            "level": "Advanced",
            "lastReviewed": "2026-06-23",
            "lastReviewedUtc": "2026-06-23T00:00:00Z",
            "topics": [
                "MLOps",
                "lineage",
                "model registry",
                "runtime registry",
                "atomic deployment",
                "agent drift",
                "rollback"
            ],
            "mainConcepts": [
                "runtime profile versioning",
                "evidence ledger",
                "atomic release",
                "optimization drift",
                "semantic drift",
                "environmental drift"
            ],
            "sections": [
                {
                    "id": "lifecycle",
                    "label": "Deployment is the start"
                },
                {
                    "id": "registries",
                    "label": "Model and runtime registries"
                },
                {
                    "id": "atomic",
                    "label": "Atomic deployment"
                },
                {
                    "id": "taxonomy",
                    "label": "Agent drift taxonomy"
                },
                {
                    "id": "controls",
                    "label": "Drift controls"
                },
                {
                    "id": "status",
                    "label": "Status language"
                }
            ],
            "references": [
                "mlflow-model-registry",
                "nist-airmf-2023",
                "otel-genai"
            ],
            "related": [
                {
                    "id": "architecture-deep-dive",
                    "path": "/architecture-deep-dive/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "deployment-tradeoffs",
                    "path": "/deployment-tradeoffs/"
                }
            ]
        },
        {
            "id": "deployment-tradeoffs",
            "title": "Machine Intelligence Runtime Deployment Trade-offs",
            "path": "/deployment-tradeoffs/",
            "url": "https://miruntime.com/deployment-tradeoffs/",
            "summary": "Compare local, modular monolith, microservices, serverless, cloud-managed, edge, hybrid, and federated MIR deployment shapes while preserving explicit contracts.",
            "purpose": "Help architects select physical placement based on locality, latency, recovery, authority, evidence, and ownership constraints.",
            "status": "Editorial guidance",
            "statusLabel": "Editorial guidance",
            "audience": "Enterprise architects, infrastructure teams, platform owners, security architects",
            "level": "Advanced",
            "lastReviewed": "2026-06-23",
            "lastReviewedUtc": "2026-06-23T00:00:00Z",
            "topics": [
                "deployment architecture",
                "modular monolith",
                "microservices",
                "serverless",
                "edge",
                "federated runtime",
                "latency"
            ],
            "mainConcepts": [
                "logical boundary",
                "physical placement",
                "latency budget",
                "locality",
                "federation",
                "evidence export"
            ],
            "sections": [
                {
                    "id": "logical-boundaries",
                    "label": "Preserve logical boundaries"
                },
                {
                    "id": "tradeoffs",
                    "label": "Deployment trade-off table"
                },
                {
                    "id": "latency",
                    "label": "Latency versus purity"
                },
                {
                    "id": "decision",
                    "label": "Decision checklist"
                }
            ],
            "references": [
                "microsoft-clean-architecture",
                "azure-cloud-design-patterns",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "architecture-deep-dive",
                    "path": "/architecture-deep-dive/"
                },
                {
                    "id": "clean-architecture-for-mir",
                    "path": "/clean-architecture-for-mir/"
                },
                {
                    "id": "event-driven-runtime-orchestration",
                    "path": "/event-driven-runtime-orchestration/"
                },
                {
                    "id": "inference-infrastructure",
                    "path": "/inference-infrastructure/"
                },
                {
                    "id": "local-first-control",
                    "path": "/local-first-control/"
                }
            ]
        },
        {
            "id": "teleodynamic-runtimes",
            "title": "Teleodynamic Runtimes",
            "path": "/research/teleodynamic-runtimes/",
            "url": "https://miruntime.com/research/teleodynamic-runtimes/",
            "summary": "A bounded research program for runtime viability, structural adaptation, goal systems, reflective recovery, benchmarks, and reproducibility without anthropomorphic claims.",
            "purpose": "Define a cautious research program for runtimes that monitor operating condition, allocate adaptation effort, and propose bounded changes under external policy.",
            "status": "Research synthesis",
            "statusLabel": "Research synthesis",
            "audience": "Researchers, runtime architects, AI-systems engineers, technical reviewers",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Teleodynamics",
                "Self-maintenance",
                "Goal systems",
                "Structural adaptation",
                "Reflective control",
                "Runtime benchmarks",
                "Reproducibility"
            ],
            "mainConcepts": [
                "bounded self-maintenance",
                "viability metrics",
                "proposal-only adaptation",
                "external authority",
                "evidence ladder",
                "non-anthropomorphic language"
            ],
            "sections": [
                {
                    "id": "why",
                    "label": "Why this program exists"
                },
                {
                    "id": "map",
                    "label": "Research map"
                },
                {
                    "id": "distinctions",
                    "label": "Core distinctions"
                },
                {
                    "id": "evidence-ladder",
                    "label": "Evidence ladder"
                },
                {
                    "id": "boundaries",
                    "label": "What this program does not claim"
                },
                {
                    "id": "questions",
                    "label": "Open questions"
                }
            ],
            "references": [
                "deacon-incomplete-nature-2011",
                "deacon-teleological-causality-2023",
                "teleodynamic-learning-2026",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "research",
                    "path": "/research/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "developer-teleodynamic-runtime-profile",
                    "path": "/developers/teleodynamic-runtime-profile/"
                },
                {
                    "id": "runtime-benchmarks-and-evaluation",
                    "path": "/research/runtime-benchmarks-and-evaluation/"
                },
                {
                    "id": "reproducibility-evidence-and-open-questions",
                    "path": "/research/reproducibility-evidence-and-open-questions/"
                }
            ]
        },
        {
            "id": "teleodynamics-and-machine-intelligence",
            "title": "Teleodynamics and Machine Intelligence",
            "path": "/research/teleodynamics-and-machine-intelligence/",
            "url": "https://miruntime.com/research/teleodynamics-and-machine-intelligence/",
            "summary": "Source-aware definitions of teleodynamics, autopoiesis, enaction, teleonomy, homeostasis, and active inference with careful runtime translations and limitations.",
            "purpose": "Introduce conceptual foundations while separating biological and philosophical theory from software mechanisms and production claims.",
            "status": "Research synthesis",
            "statusLabel": "Research synthesis",
            "audience": "Researchers, runtime architects, technical readers",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Teleodynamics",
                "Autopoiesis",
                "Enaction",
                "Teleonomy",
                "Homeostasis",
                "Active inference"
            ],
            "mainConcepts": [
                "constraint coupling",
                "organizational maintenance",
                "sensorimotor coupling",
                "engineered thresholds",
                "editorial analogy",
                "testable mechanism"
            ],
            "sections": [
                {
                    "id": "terms",
                    "label": "Terms and boundaries"
                },
                {
                    "id": "hierarchy",
                    "label": "Deacon hierarchy as editorial mapping"
                },
                {
                    "id": "mechanism",
                    "label": "Metaphor versus mechanism"
                },
                {
                    "id": "implications",
                    "label": "Research implications for MIR"
                },
                {
                    "id": "limitations",
                    "label": "Limitations"
                }
            ],
            "references": [
                "deacon-incomplete-nature-2011",
                "deacon-teleological-causality-2023",
                "maturana-varela-autopoiesis-1980",
                "varela-maturana-uribe-autopoiesis-1974",
                "varela-thompson-rosch-embodied-mind-1991",
                "friston-free-energy-2010"
            ],
            "related": [
                {
                    "id": "research",
                    "path": "/research/"
                },
                {
                    "id": "teleodynamic-runtimes",
                    "path": "/research/teleodynamic-runtimes/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "developer-teleodynamic-runtime-profile",
                    "path": "/developers/teleodynamic-runtime-profile/"
                }
            ]
        },
        {
            "id": "teleodynamic-learning-and-structural-adaptation",
            "title": "Teleodynamic Learning and Structural Adaptation",
            "path": "/research/teleodynamic-learning-and-structural-adaptation/",
            "url": "https://miruntime.com/research/teleodynamic-learning-and-structural-adaptation/",
            "summary": "A two-timescale research model for parameter adaptation, governed structural edits, resource gating, no-op, rollback, and evidence.",
            "purpose": "Explain how changes to runtime structure differ from optimization inside a fixed hypothesis class and what controls they require.",
            "status": "Research proposal",
            "statusLabel": "Research proposal",
            "audience": "AI researchers, runtime architects, research engineers",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Teleodynamic learning",
                "Structural adaptation",
                "Resource-bounded learning",
                "No-op",
                "Continual learning",
                "Runtime intelligence"
            ],
            "mainConcepts": [
                "two-timescale control",
                "parameter state",
                "discrete structure",
                "resource gating",
                "structural edit proposal",
                "no-op stability"
            ],
            "sections": [
                {
                    "id": "fixed-evolving",
                    "label": "Fixed model versus evolving structure"
                },
                {
                    "id": "state-model",
                    "label": "Conceptual state model"
                },
                {
                    "id": "loops",
                    "label": "Two-timescale loop"
                },
                {
                    "id": "operators",
                    "label": "Structural edit operators"
                },
                {
                    "id": "no-op",
                    "label": "Why no-op matters"
                },
                {
                    "id": "comparison",
                    "label": "Comparison"
                },
                {
                    "id": "evidence",
                    "label": "Evidence requirements"
                }
            ],
            "references": [
                "teleodynamic-learning-2026",
                "test-time-compute-2024",
                "tree-of-thoughts-2023",
                "vigil-2025",
                "friston-free-energy-2010"
            ],
            "related": [
                {
                    "id": "research",
                    "path": "/research/"
                },
                {
                    "id": "teleodynamic-runtimes",
                    "path": "/research/teleodynamic-runtimes/"
                },
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "developer-teleodynamic-runtime-profile",
                    "path": "/developers/teleodynamic-runtime-profile/"
                },
                {
                    "id": "developer-durable-execution-and-recovery",
                    "path": "/developers/durable-execution-and-recovery/"
                },
                {
                    "id": "runtime-benchmarks-and-evaluation",
                    "path": "/research/runtime-benchmarks-and-evaluation/"
                }
            ]
        },
        {
            "id": "goal-systems-homeostasis-and-self-maintenance",
            "title": "Goal Systems, Homeostasis, and Self-Maintenance",
            "path": "/research/goal-systems-homeostasis-and-self-maintenance/",
            "url": "https://miruntime.com/research/goal-systems-homeostasis-and-self-maintenance/",
            "summary": "Bounded goal hierarchies, engineered viability metrics, typed goal changes, conflict resolution, risks, and controls for adaptive runtimes.",
            "purpose": "Show how internal control objectives can support valid operation without creating an open-ended self-preservation interest.",
            "status": "Research synthesis",
            "statusLabel": "Research synthesis",
            "audience": "Runtime architects, governance engineers, researchers",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Goal systems",
                "Homeostasis",
                "Self-maintenance",
                "Viability metrics",
                "Goal manipulation",
                "Runtime governance"
            ],
            "mainConcepts": [
                "external objective",
                "derived subgoal",
                "runtime control objective",
                "immutable policy",
                "viability vector",
                "typed goal change"
            ],
            "sections": [
                {
                    "id": "hierarchy",
                    "label": "Goal hierarchy"
                },
                {
                    "id": "viability",
                    "label": "Viability vector"
                },
                {
                    "id": "change-policy",
                    "label": "Goal-change policy"
                },
                {
                    "id": "conflicts",
                    "label": "Conflict resolution"
                },
                {
                    "id": "risks",
                    "label": "Risks"
                },
                {
                    "id": "controls",
                    "label": "Controls"
                }
            ],
            "references": [
                "deacon-incomplete-nature-2011",
                "maturana-varela-autopoiesis-1980",
                "nist-airmf-2023",
                "owasp-agentic-threats"
            ],
            "related": [
                {
                    "id": "research",
                    "path": "/research/"
                },
                {
                    "id": "teleodynamic-runtimes",
                    "path": "/research/teleodynamic-runtimes/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "developer-tool-connectors-and-policy",
                    "path": "/developers/tool-connectors-and-policy/"
                },
                {
                    "id": "developer-teleodynamic-runtime-profile",
                    "path": "/developers/teleodynamic-runtime-profile/"
                }
            ]
        },
        {
            "id": "reflective-control-and-runtime-recovery",
            "title": "Reflective Control and Runtime Recovery",
            "path": "/research/reflective-control-and-runtime-recovery/",
            "url": "https://miruntime.com/research/reflective-control-and-runtime-recovery/",
            "summary": "A bounded reflective critic model with trigger conditions, recovery taxonomy, authority separation, checkpoints, and independent validation.",
            "purpose": "Connect reflective diagnosis to controlled MIR recovery without allowing a critic to become an unchecked authority.",
            "status": "Research synthesis",
            "statusLabel": "Research synthesis",
            "audience": "Runtime architects, reliability engineers, AI researchers",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Reflective control",
                "Runtime recovery",
                "Self-monitoring",
                "Checkpoints",
                "Critic loops",
                "Operator control"
            ],
            "mainConcepts": [
                "reflective critic",
                "proposal authority separation",
                "trigger condition",
                "recovery taxonomy",
                "checkpoint",
                "independent verifier"
            ],
            "sections": [
                {
                    "id": "critic",
                    "label": "Reflective critic boundary"
                },
                {
                    "id": "triggers",
                    "label": "Trigger conditions"
                },
                {
                    "id": "sequence",
                    "label": "Control sequence"
                },
                {
                    "id": "taxonomy",
                    "label": "Recovery taxonomy"
                },
                {
                    "id": "risks",
                    "label": "Research risks"
                }
            ],
            "references": [
                "vigil-2025",
                "atlas-rtc-2026",
                "owasp-agentic-threats",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "research",
                    "path": "/research/"
                },
                {
                    "id": "teleodynamic-runtimes",
                    "path": "/research/teleodynamic-runtimes/"
                },
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                },
                {
                    "id": "event-driven-runtime-orchestration",
                    "path": "/event-driven-runtime-orchestration/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "developer-durable-execution-and-recovery",
                    "path": "/developers/durable-execution-and-recovery/"
                },
                {
                    "id": "developer-teleodynamic-runtime-profile",
                    "path": "/developers/teleodynamic-runtime-profile/"
                }
            ]
        },
        {
            "id": "runtime-benchmarks-and-evaluation",
            "title": "Runtime Benchmarks and Evaluation",
            "path": "/research/runtime-benchmarks-and-evaluation/",
            "url": "https://miruntime.com/research/runtime-benchmarks-and-evaluation/",
            "summary": "A runtime evaluation framework covering task outcomes, recovery, policy, evidence, resource efficiency, structural adaptation, reproducibility, and operator control.",
            "purpose": "Define how MIR and teleodynamic-runtime proposals should be evaluated beyond model accuracy.",
            "status": "Editorial guidance",
            "statusLabel": "Editorial guidance",
            "audience": "Research engineers, evaluation teams, platform architects, governance teams",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Runtime benchmarks",
                "Runtime evaluation",
                "Reproducibility",
                "Recovery",
                "Policy compliance",
                "Resource efficiency"
            ],
            "mainConcepts": [
                "end-to-end utility",
                "first-attempt quality",
                "recovery rate",
                "evidence completeness",
                "no-op stability",
                "benchmark manifest"
            ],
            "sections": [
                {
                    "id": "dimensions",
                    "label": "Evaluation dimensions"
                },
                {
                    "id": "suite",
                    "label": "Benchmark suite design"
                },
                {
                    "id": "perturbations",
                    "label": "Perturbation tests"
                },
                {
                    "id": "baselines",
                    "label": "Baselines and ablations"
                },
                {
                    "id": "manifest",
                    "label": "Benchmark manifest"
                },
                {
                    "id": "reporting",
                    "label": "Reporting rules"
                }
            ],
            "references": [
                "test-time-compute-2024",
                "nist-airmf-2023",
                "nist-genai-profile-2024",
                "otel-genai"
            ],
            "related": [
                {
                    "id": "research",
                    "path": "/research/"
                },
                {
                    "id": "teleodynamic-runtimes",
                    "path": "/research/teleodynamic-runtimes/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "developer-testing-machine-intelligence-runtimes",
                    "path": "/developers/testing-machine-intelligence-runtimes/"
                },
                {
                    "id": "developer-observability-and-evidence",
                    "path": "/developers/observability-and-evidence/"
                }
            ]
        },
        {
            "id": "reproducibility-evidence-and-open-questions",
            "title": "Reproducibility, Evidence, and Open Questions",
            "path": "/research/reproducibility-evidence-and-open-questions/",
            "url": "https://miruntime.com/research/reproducibility-evidence-and-open-questions/",
            "summary": "Replay levels, research-grade evidence packages, claim registers, negative results, and an open agenda for stochastic tool-using runtimes.",
            "purpose": "Define what can and cannot be reproduced in stochastic, time-dependent, tool-using runtime systems.",
            "status": "Editorial guidance",
            "statusLabel": "Editorial guidance",
            "audience": "Researchers, reviewers, platform teams, auditors",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Reproducibility",
                "Evidence",
                "Claim register",
                "Negative results",
                "Runtime evaluation",
                "Open questions"
            ],
            "mainConcepts": [
                "exact replay",
                "functional replay",
                "partial replay",
                "evidence package",
                "claim register",
                "negative result"
            ],
            "sections": [
                {
                    "id": "replay",
                    "label": "Replay levels"
                },
                {
                    "id": "package",
                    "label": "Evidence package"
                },
                {
                    "id": "claims",
                    "label": "Claim register"
                },
                {
                    "id": "negative-results",
                    "label": "Negative and null results"
                },
                {
                    "id": "agenda",
                    "label": "Open research agenda"
                }
            ],
            "references": [
                "nist-airmf-2023",
                "nist-genai-profile-2024",
                "otel-genai",
                "teleodynamic-learning-2026"
            ],
            "related": [
                {
                    "id": "research",
                    "path": "/research/"
                },
                {
                    "id": "teleodynamic-runtimes",
                    "path": "/research/teleodynamic-runtimes/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "developer-observability-and-evidence",
                    "path": "/developers/observability-and-evidence/"
                },
                {
                    "id": "developer-testing-machine-intelligence-runtimes",
                    "path": "/developers/testing-machine-intelligence-runtimes/"
                },
                {
                    "id": "runtime-benchmarks-and-evaluation",
                    "path": "/research/runtime-benchmarks-and-evaluation/"
                }
            ]
        },
        {
            "id": "report-teleodynamic-machine-intelligence-runtime",
            "title": "Teleodynamic Machine Intelligence Runtime: A Research Synthesis",
            "path": "/research/reports/teleodynamic-machine-intelligence-runtime/",
            "url": "https://miruntime.com/research/reports/teleodynamic-machine-intelligence-runtime/",
            "summary": "A source-aware synthesis of teleodynamics, bounded goal systems, structural adaptation, reflective recovery, developer contracts, evaluation, risks, and evidence requirements.",
            "purpose": "Rewrite and filter supplied research reports into a cautious, source-aware architecture synthesis with explicit omitted-claim boundaries.",
            "status": "Editorial synthesis",
            "statusLabel": "Editorial synthesis",
            "audience": "Researchers, senior engineers, runtime architects, technical reviewers",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Teleodynamic runtime",
                "Editorial synthesis",
                "Structural adaptation",
                "Goal systems",
                "Reflective recovery",
                "Runtime benchmarks",
                "Reproducibility"
            ],
            "mainConcepts": [
                "editorial research synthesis",
                "bounded adaptation",
                "external authority",
                "viability metrics",
                "reflective recovery",
                "evidence requirements"
            ],
            "sections": [
                {
                    "id": "summary",
                    "label": "Executive summary"
                },
                {
                    "id": "relevance",
                    "label": "Why teleodynamics is relevant"
                },
                {
                    "id": "foundations",
                    "label": "Foundational concepts"
                },
                {
                    "id": "baseline",
                    "label": "MIR baseline"
                },
                {
                    "id": "loops",
                    "label": "Fast and slow adaptation loops"
                },
                {
                    "id": "goals",
                    "label": "Goal hierarchy and viability"
                },
                {
                    "id": "reflection",
                    "label": "Reflective control and recovery"
                },
                {
                    "id": "contracts",
                    "label": "Developer-contract implications"
                },
                {
                    "id": "evaluation",
                    "label": "Benchmark framework"
                },
                {
                    "id": "risks",
                    "label": "Security and alignment risks"
                },
                {
                    "id": "matrix",
                    "label": "Practice versus proposal"
                },
                {
                    "id": "reproducibility",
                    "label": "Reproducibility requirements"
                },
                {
                    "id": "questions",
                    "label": "Open questions"
                },
                {
                    "id": "deferred",
                    "label": "Deferred or omitted claims"
                },
                {
                    "id": "references-note",
                    "label": "Source method"
                }
            ],
            "references": [
                "deacon-incomplete-nature-2011",
                "deacon-teleological-causality-2023",
                "maturana-varela-autopoiesis-1980",
                "varela-thompson-rosch-embodied-mind-1991",
                "friston-free-energy-2010",
                "teleodynamic-learning-2026",
                "airi-2026",
                "nist-airmf-2023",
                "owasp-agentic-threats"
            ],
            "related": [
                {
                    "id": "research-reports",
                    "path": "/research/reports/"
                },
                {
                    "id": "research",
                    "path": "/research/"
                },
                {
                    "id": "teleodynamic-runtimes",
                    "path": "/research/teleodynamic-runtimes/"
                },
                {
                    "id": "runtime-architecture",
                    "path": "/runtime-architecture/"
                },
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "developer-teleodynamic-runtime-profile",
                    "path": "/developers/teleodynamic-runtime-profile/"
                },
                {
                    "id": "runtime-benchmarks-and-evaluation",
                    "path": "/research/runtime-benchmarks-and-evaluation/"
                }
            ]
        },
        {
            "id": "developer-implementation-guides",
            "title": "Machine Intelligence Runtime Implementation Guides",
            "path": "/developers/implementation-guides/",
            "url": "https://miruntime.com/developers/implementation-guides/",
            "summary": "A guide map for building lifecycle, adapters, tools, context, recovery, evidence, testing, teleodynamic extensions, and operations around model proposals.",
            "purpose": "Define the minimum runtime surface and implementation posture for a provider-neutral, evidence-first runtime boundary.",
            "status": "Editorial guidance",
            "statusLabel": "Editorial guidance",
            "audience": "Developers, platform engineers, technical leads",
            "level": "Technical",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Implementation guides",
                "Ports and adapters",
                "Runtime contract",
                "Lifecycle",
                "Evidence-first design"
            ],
            "mainConcepts": [
                "minimum runtime surface",
                "provider-neutral core",
                "deterministic boundary",
                "capability-first organization",
                "evidence-first error handling"
            ],
            "sections": [
                {
                    "id": "surface",
                    "label": "Minimum runtime surface"
                },
                {
                    "id": "map",
                    "label": "Guide map"
                },
                {
                    "id": "posture",
                    "label": "Reference implementation posture"
                },
                {
                    "id": "non-goals",
                    "label": "Non-goals"
                }
            ],
            "references": [
                "microsoft-clean-architecture",
                "azure-cloud-design-patterns",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                },
                {
                    "id": "architecture-deep-dive",
                    "path": "/architecture-deep-dive/"
                },
                {
                    "id": "teleodynamic-runtimes",
                    "path": "/research/teleodynamic-runtimes/"
                }
            ]
        },
        {
            "id": "developer-quickstart",
            "title": "Machine Intelligence Runtime Quickstart",
            "path": "/developers/quickstart/",
            "url": "https://miruntime.com/developers/quickstart/",
            "summary": "A coherent conceptual C# quickstart for a reversible dependency-update run with lifecycle state, policy, checkpoint, tool execution, tests, and evidence.",
            "purpose": "Walk through the smallest complete MIR workflow without implying a downloadable SDK or package.",
            "status": "Conceptual reference",
            "statusLabel": "Conceptual reference",
            "audience": "Application developers and platform engineers",
            "level": "Intermediate",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Quickstart",
                "Dependency update",
                "Runtime contract",
                "C#",
                "Evidence timeline"
            ],
            "mainConcepts": [
                "reversible workflow",
                "run request",
                "runtime contract",
                "step execution",
                "evidence event",
                "terminal state"
            ],
            "sections": [
                {
                    "id": "scenario",
                    "label": "Scenario"
                },
                {
                    "id": "steps",
                    "label": "Build steps"
                },
                {
                    "id": "contracts",
                    "label": "C# reference contracts"
                },
                {
                    "id": "timeline",
                    "label": "Expected event timeline"
                },
                {
                    "id": "tests",
                    "label": "Quickstart test checklist"
                }
            ],
            "references": [
                "microsoft-clean-architecture",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                },
                {
                    "id": "developer-implementation-guides",
                    "path": "/developers/implementation-guides/"
                },
                {
                    "id": "event-driven-runtime-orchestration",
                    "path": "/event-driven-runtime-orchestration/"
                },
                {
                    "id": "runtime-benchmarks-and-evaluation",
                    "path": "/research/runtime-benchmarks-and-evaluation/"
                }
            ]
        },
        {
            "id": "developer-run-lifecycle-state-machine",
            "title": "Run Lifecycle State Machine",
            "path": "/developers/run-lifecycle-state-machine/",
            "url": "https://miruntime.com/developers/run-lifecycle-state-machine/",
            "summary": "Explicit run states, transition actors, invariants, optimistic concurrency, idempotency, stale-worker handling, and provider-independent persistence.",
            "purpose": "Make long-running machine-intelligence work durable, testable, and recoverable through a typed state machine.",
            "status": "Production practice",
            "statusLabel": "Production practice",
            "audience": "Platform engineers, backend developers, reliability engineers",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Run lifecycle",
                "State machine",
                "Optimistic concurrency",
                "Idempotency",
                "Durable execution"
            ],
            "mainConcepts": [
                "created",
                "provisioning",
                "running",
                "awaiting approval",
                "recovering",
                "terminal state"
            ],
            "sections": [
                {
                    "id": "transitions",
                    "label": "State-transition table"
                },
                {
                    "id": "invariants",
                    "label": "Invariants"
                },
                {
                    "id": "concurrency",
                    "label": "Concurrency"
                },
                {
                    "id": "contracts",
                    "label": "C# contracts"
                },
                {
                    "id": "persistence",
                    "label": "Persistence guidance"
                }
            ],
            "references": [
                "azure-cloud-design-patterns",
                "microsoft-clean-architecture"
            ],
            "related": [
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                },
                {
                    "id": "event-driven-runtime-orchestration",
                    "path": "/event-driven-runtime-orchestration/"
                },
                {
                    "id": "developer-durable-execution-and-recovery",
                    "path": "/developers/durable-execution-and-recovery/"
                },
                {
                    "id": "reflective-control-and-runtime-recovery",
                    "path": "/research/reflective-control-and-runtime-recovery/"
                }
            ]
        },
        {
            "id": "developer-model-adapters",
            "title": "Model Adapters for Machine Intelligence Runtime",
            "path": "/developers/model-adapters/",
            "url": "https://miruntime.com/developers/model-adapters/",
            "summary": "A provider-neutral model boundary for capabilities, streaming, usage, placement, safe retries, normalized errors, and deterministic fake adapters.",
            "purpose": "Prevent model-provider details from owning lifecycle, authorization, evidence retention, or business use cases.",
            "status": "Production practice",
            "statusLabel": "Production practice",
            "audience": "AI platform engineers, backend developers, infrastructure teams",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Model adapters",
                "Provider abstraction",
                "Streaming",
                "Capabilities",
                "Error normalization"
            ],
            "mainConcepts": [
                "capability profile",
                "model request",
                "model candidate",
                "usage metadata",
                "normalized failure",
                "safe retry"
            ],
            "sections": [
                {
                    "id": "responsibilities",
                    "label": "Adapter responsibilities"
                },
                {
                    "id": "outside",
                    "label": "What stays outside"
                },
                {
                    "id": "contracts",
                    "label": "C# contracts"
                },
                {
                    "id": "failures",
                    "label": "Failure normalization"
                },
                {
                    "id": "tests",
                    "label": "Tests"
                }
            ],
            "references": [
                "onnx-runtime",
                "vllm-docs",
                "triton-architecture",
                "microsoft-clean-architecture"
            ],
            "related": [
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                },
                {
                    "id": "inference-infrastructure",
                    "path": "/inference-infrastructure/"
                },
                {
                    "id": "developer-deployment-and-operations",
                    "path": "/developers/deployment-and-operations/"
                },
                {
                    "id": "runtime-intelligence",
                    "path": "/runtime-intelligence/"
                }
            ]
        },
        {
            "id": "developer-tool-connectors-and-policy",
            "title": "Tool Connectors and Runtime Policy",
            "path": "/developers/tool-connectors-and-policy/",
            "url": "https://miruntime.com/developers/tool-connectors-and-policy/",
            "summary": "Stable tool identity, action envelopes, policy outcomes, credential isolation, MCP boundaries, approvals, and conceptual C# ports.",
            "purpose": "Treat every model-proposed side effect as a typed, policy-evaluated, credential-scoped operation.",
            "status": "Production practice",
            "statusLabel": "Production practice",
            "audience": "Backend developers, security engineers, platform teams",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Tool connectors",
                "Policy engine",
                "Approvals",
                "Credentials",
                "MCP",
                "Side effects"
            ],
            "mainConcepts": [
                "stable tool key",
                "action envelope",
                "policy outcome",
                "scoped credential",
                "approval gateway",
                "MCP boundary"
            ],
            "sections": [
                {
                    "id": "identity",
                    "label": "Stable tool identity"
                },
                {
                    "id": "envelope",
                    "label": "Tool action envelope"
                },
                {
                    "id": "policy",
                    "label": "Policy decision"
                },
                {
                    "id": "credentials",
                    "label": "Credentials"
                },
                {
                    "id": "mcp",
                    "label": "MCP boundary"
                },
                {
                    "id": "contracts",
                    "label": "C# contracts"
                }
            ],
            "references": [
                "mcp-spec-2025",
                "owasp-agentic-threats",
                "owasp-prompt-injection-2025",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                },
                {
                    "id": "agent-tool-execution",
                    "path": "/agent-tool-execution/"
                },
                {
                    "id": "governance-and-trust",
                    "path": "/governance-and-trust/"
                },
                {
                    "id": "goal-systems-homeostasis-and-self-maintenance",
                    "path": "/research/goal-systems-homeostasis-and-self-maintenance/"
                }
            ]
        },
        {
            "id": "developer-memory-context-and-lineage",
            "title": "Memory, Context, and Lineage for MIR",
            "path": "/developers/memory-context-and-lineage/",
            "url": "https://miruntime.com/developers/memory-context-and-lineage/",
            "summary": "Attributable context packages, governed memory records, assembly sequence, contamination controls, lineage, and provider-neutral C# ports.",
            "purpose": "Make every context selection and memory projection attributable, scoped, correctable, and replayable.",
            "status": "Editorial guidance",
            "statusLabel": "Editorial guidance",
            "audience": "Application developers, data engineers, governance teams",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Context assembly",
                "Memory governance",
                "Lineage",
                "Provenance",
                "Contamination"
            ],
            "mainConcepts": [
                "context package",
                "source hash",
                "memory scope",
                "selection reason",
                "contamination control",
                "lineage chain"
            ],
            "sections": [
                {
                    "id": "context",
                    "label": "Context package"
                },
                {
                    "id": "memory",
                    "label": "Memory record"
                },
                {
                    "id": "assembly",
                    "label": "Context assembly"
                },
                {
                    "id": "contamination",
                    "label": "Contamination controls"
                },
                {
                    "id": "lineage",
                    "label": "Lineage"
                },
                {
                    "id": "contracts",
                    "label": "C# contracts"
                }
            ],
            "references": [
                "nist-genai-profile-2024",
                "owasp-prompt-injection-2025",
                "otel-genai"
            ],
            "related": [
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "mlops-lineage-and-agent-drift",
                    "path": "/mlops-lineage-and-agent-drift/"
                },
                {
                    "id": "reproducibility-evidence-and-open-questions",
                    "path": "/research/reproducibility-evidence-and-open-questions/"
                }
            ]
        },
        {
            "id": "developer-durable-execution-and-recovery",
            "title": "Durable Execution and Recovery for MIR",
            "path": "/developers/durable-execution-and-recovery/",
            "url": "https://miruntime.com/developers/durable-execution-and-recovery/",
            "summary": "Durable workflow styles, event resumption, retries, checkpoints, rerouting, compensation, idempotency, and conceptual recovery ports.",
            "purpose": "Ensure inference, tools, approvals, retries, and evidence can safely outlive an HTTP request and survive partial failure.",
            "status": "Production practice",
            "statusLabel": "Production practice",
            "audience": "Platform engineers, backend developers, SRE teams",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Durable execution",
                "Recovery",
                "Checkpoint",
                "Idempotency",
                "Compensation",
                "Transactional outbox"
            ],
            "mainConcepts": [
                "resumable run",
                "checkpoint store",
                "recovery plan",
                "effect receipt",
                "dead-letter queue",
                "compensation"
            ],
            "sections": [
                {
                    "id": "why",
                    "label": "Why durable execution"
                },
                {
                    "id": "styles",
                    "label": "Compatible implementation styles"
                },
                {
                    "id": "events",
                    "label": "Event sequence"
                },
                {
                    "id": "patterns",
                    "label": "Recovery patterns"
                },
                {
                    "id": "idempotency",
                    "label": "Idempotency"
                },
                {
                    "id": "contracts",
                    "label": "C# contracts"
                },
                {
                    "id": "transaction",
                    "label": "Transactional boundary"
                }
            ],
            "references": [
                "azure-cloud-design-patterns",
                "microsoft-clean-architecture",
                "nist-airmf-2023"
            ],
            "related": [
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                },
                {
                    "id": "event-driven-runtime-orchestration",
                    "path": "/event-driven-runtime-orchestration/"
                },
                {
                    "id": "developer-run-lifecycle-state-machine",
                    "path": "/developers/run-lifecycle-state-machine/"
                },
                {
                    "id": "reflective-control-and-runtime-recovery",
                    "path": "/research/reflective-control-and-runtime-recovery/"
                }
            ]
        },
        {
            "id": "developer-observability-and-evidence",
            "title": "Observability and Evidence for AI Runtimes",
            "path": "/developers/observability-and-evidence/",
            "url": "https://miruntime.com/developers/observability-and-evidence/",
            "summary": "Distinguish operational telemetry from reviewer-facing evidence, define correlation identities and event requirements, redact sensitive data, and map to OpenTelemetry.",
            "purpose": "Make runtime behavior operable while preserving typed explanations of why a run produced an outcome.",
            "status": "Production practice",
            "statusLabel": "Production practice",
            "audience": "Platform engineers, SRE teams, governance engineers, auditors",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Observability",
                "Evidence",
                "OpenTelemetry",
                "Redaction",
                "Audit"
            ],
            "mainConcepts": [
                "trace identity",
                "run identity",
                "event sequence",
                "integrity metadata",
                "privacy classification",
                "evidence ledger"
            ],
            "sections": [
                {
                    "id": "difference",
                    "label": "Observability versus evidence"
                },
                {
                    "id": "correlation",
                    "label": "Correlation model"
                },
                {
                    "id": "events",
                    "label": "Event requirements"
                },
                {
                    "id": "redaction",
                    "label": "Redaction"
                },
                {
                    "id": "contracts",
                    "label": "C# evidence ledger"
                },
                {
                    "id": "otel",
                    "label": "OpenTelemetry mapping"
                }
            ],
            "references": [
                "otel-genai",
                "nist-airmf-2023",
                "nist-genai-profile-2024"
            ],
            "related": [
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                },
                {
                    "id": "memory-and-evidence",
                    "path": "/memory-and-evidence/"
                },
                {
                    "id": "mlops-lineage-and-agent-drift",
                    "path": "/mlops-lineage-and-agent-drift/"
                },
                {
                    "id": "reproducibility-evidence-and-open-questions",
                    "path": "/research/reproducibility-evidence-and-open-questions/"
                }
            ]
        },
        {
            "id": "developer-testing-machine-intelligence-runtimes",
            "title": "Testing Machine Intelligence Runtimes",
            "path": "/developers/testing-machine-intelligence-runtimes/",
            "url": "https://miruntime.com/developers/testing-machine-intelligence-runtimes/",
            "summary": "A testing model for deterministic contracts, stochastic behavior, security, recovery, evidence, load, deployment, repeated trials, and fault injection.",
            "purpose": "Define test layers and evidence expectations for a runtime whose model behavior is probabilistic but controls must remain deterministic.",
            "status": "Editorial guidance",
            "statusLabel": "Editorial guidance",
            "audience": "Developers, QA engineers, security teams, research engineers",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Runtime testing",
                "Stochastic tests",
                "Fault injection",
                "Security tests",
                "Golden scenarios"
            ],
            "mainConcepts": [
                "contract test",
                "stochastic trial",
                "fault injection",
                "evidence assertion",
                "security scenario",
                "deployment test"
            ],
            "sections": [
                {
                    "id": "model",
                    "label": "Testing model"
                },
                {
                    "id": "matrix",
                    "label": "Test matrix"
                },
                {
                    "id": "golden",
                    "label": "Golden scenarios"
                },
                {
                    "id": "trials",
                    "label": "Repeated trials"
                },
                {
                    "id": "faults",
                    "label": "Fault injection"
                },
                {
                    "id": "security",
                    "label": "Security tests"
                },
                {
                    "id": "examples",
                    "label": "C# test example"
                }
            ],
            "references": [
                "nist-genai-profile-2024",
                "owasp-agentic-threats",
                "owasp-prompt-injection-2025"
            ],
            "related": [
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                },
                {
                    "id": "mlops-lineage-and-agent-drift",
                    "path": "/mlops-lineage-and-agent-drift/"
                },
                {
                    "id": "runtime-benchmarks-and-evaluation",
                    "path": "/research/runtime-benchmarks-and-evaluation/"
                },
                {
                    "id": "reproducibility-evidence-and-open-questions",
                    "path": "/research/reproducibility-evidence-and-open-questions/"
                }
            ]
        },
        {
            "id": "developer-teleodynamic-runtime-profile",
            "title": "Teleodynamic Runtime Profile",
            "path": "/developers/teleodynamic-runtime-profile/",
            "url": "https://miruntime.com/developers/teleodynamic-runtime-profile/",
            "summary": "An optional research-only extension profile for bounded goal systems, viability metrics, reflection policy, structural-edit proposals, and immutable constraints.",
            "purpose": "Translate selected teleodynamic research ideas into explicit reviewable fields without granting open-ended autonomy.",
            "status": "Research proposal",
            "statusLabel": "Research proposal",
            "audience": "Research engineers, runtime architects, governance reviewers",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Teleodynamic runtime profile",
                "Research proposal",
                "Goal system",
                "Viability metric",
                "Reflective critic",
                "Structural adaptation"
            ],
            "mainConcepts": [
                "namespaced extension",
                "goal node",
                "viability metric",
                "reflection policy",
                "structural edit proposal",
                "immutable constraint"
            ],
            "sections": [
                {
                    "id": "status",
                    "label": "Research-only status"
                },
                {
                    "id": "extension",
                    "label": "Extension model"
                },
                {
                    "id": "goals",
                    "label": "Goal system"
                },
                {
                    "id": "viability",
                    "label": "Viability"
                },
                {
                    "id": "reflection",
                    "label": "Reflection"
                },
                {
                    "id": "adaptation",
                    "label": "Structural adaptation"
                },
                {
                    "id": "constraints",
                    "label": "Immutable constraints"
                },
                {
                    "id": "contracts",
                    "label": "C# conceptual types"
                },
                {
                    "id": "evaluation",
                    "label": "Evaluation"
                },
                {
                    "id": "language",
                    "label": "Non-anthropomorphic language"
                }
            ],
            "references": [
                "teleodynamic-learning-2026",
                "deacon-incomplete-nature-2011",
                "nist-airmf-2023",
                "owasp-agentic-threats"
            ],
            "related": [
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                },
                {
                    "id": "teleodynamic-runtimes",
                    "path": "/research/teleodynamic-runtimes/"
                },
                {
                    "id": "goal-systems-homeostasis-and-self-maintenance",
                    "path": "/research/goal-systems-homeostasis-and-self-maintenance/"
                },
                {
                    "id": "runtime-benchmarks-and-evaluation",
                    "path": "/research/runtime-benchmarks-and-evaluation/"
                }
            ]
        },
        {
            "id": "developer-deployment-and-operations",
            "title": "MIR Deployment and Operations",
            "path": "/developers/deployment-and-operations/",
            "url": "https://miruntime.com/developers/deployment-and-operations/",
            "summary": "Operational deployment guidance for logical boundaries, environments, secrets, atomic release manifests, rollback, runbooks, SLOs, and evidence compatibility.",
            "purpose": "Turn MIR architectural guidance into a concrete operational checklist without prescribing one physical topology.",
            "status": "Production practice",
            "statusLabel": "Production practice",
            "audience": "Platform engineers, SRE teams, technical leads, security teams",
            "level": "Advanced",
            "lastReviewed": "2026-06-24",
            "lastReviewedUtc": "2026-06-24T00:00:00Z",
            "topics": [
                "Deployment",
                "Operations",
                "Release manifest",
                "Rollback",
                "Runbook",
                "SLO"
            ],
            "mainConcepts": [
                "logical boundary",
                "environment model",
                "secret isolation",
                "atomic release",
                "backward-compatible evidence",
                "operational runbook"
            ],
            "sections": [
                {
                    "id": "boundaries",
                    "label": "Logical versus physical architecture"
                },
                {
                    "id": "environments",
                    "label": "Environment model"
                },
                {
                    "id": "configuration",
                    "label": "Configuration and secrets"
                },
                {
                    "id": "manifest",
                    "label": "Atomic release manifest"
                },
                {
                    "id": "rollback",
                    "label": "Rollback"
                },
                {
                    "id": "runbook",
                    "label": "Operational runbook"
                },
                {
                    "id": "slos",
                    "label": "SLOs and metrics"
                }
            ],
            "references": [
                "azure-cloud-design-patterns",
                "nist-airmf-2023",
                "otel-genai"
            ],
            "related": [
                {
                    "id": "developers",
                    "path": "/developers/"
                },
                {
                    "id": "developer-runtime-contract",
                    "path": "/developers/runtime-contract/"
                },
                {
                    "id": "developer-tool-contracts",
                    "path": "/developers/tool-contracts/"
                },
                {
                    "id": "developer-evidence-schema",
                    "path": "/developers/evidence-schema/"
                },
                {
                    "id": "developer-implementation-checklist",
                    "path": "/developers/implementation-checklist/"
                },
                {
                    "id": "deployment-tradeoffs",
                    "path": "/deployment-tradeoffs/"
                },
                {
                    "id": "inference-infrastructure",
                    "path": "/inference-infrastructure/"
                },
                {
                    "id": "mlops-lineage-and-agent-drift",
                    "path": "/mlops-lineage-and-agent-drift/"
                }
            ]
        }
    ]
}
