ms-ai-architect/docs/spor1-classification-review.md

Spor 1 — Edge-Set Classification Review (Step 4)

Date: 2026-07-03 Scope: every manifest entry flagged reviewFlag:true by the mechanical classifier (106 of 389) Mechanism: main-context executor content review, two tiers — (1) title + section headings + intro per file, (2) full-text sampling where tier 1 was inconclusive (6 files). The plan prescribed read-only subagent fan-out; the executor's Agent tool is disabled during plan execution (trekexecute Hard Rule 10), so adjudication ran in the main context against the same criteria. Recorded as resolvedBy: executor-content-review-2026-07-03.

Criteria (Port-1 closed type set)

• reference — dominant substance is machine-verifiable Microsoft product/service claims (verifiable against learn.microsoft.com); will carry a **Source:** URL.
• template — reusable fill-in scaffold; must never carry an MS source.
• methodology — reusable process/framework guidance; must never carry an MS source.
• regulatory — law/standard text or obligations derived directly from it.

Judged by content substance, not filename. No file was deferred — every flagged file had a defensible type.

Outcome

Resolved: 106/106 (0 deferred). Distribution within the edge set: {"template":8,"methodology":20,"reference":69,"regulatory":9}. Corpus-wide (389): reference 352 · methodology 20 · regulatory 9 · template 8.

Notable calls:

• ms-ai-advisor/development/agent-framework.md → reference (pure MS API fact base; the path heuristic tripped on 'framework').
• responsible-ai/ai-ethics-in-public-sector.md → reference (substance = MS RAI standard + Foundry capabilities) while norwegian-public-sector-governance/public-sector-ai-ethics-framework.md → methodology (substance = Norwegian governance landscape). Same theme, different dominant substance.
• norwegian-public-sector-governance/norwegian-nlp-benchmarks.md → reference with zero MS citations — expected to land in the honest unsourced/deferred bucket in Step 6.
• The 67 zero-MS engineering/infrastructure files (multi-modal, hybrid-edge, api-management, agent-orchestration, performance-scalability) are Azure product-fact files written without citations — all reference; Step 6 will defer them unless a defensible MS authority exists.

Per-file adjudication

File (under skills/)	Type	Classifier signal	Rationale
ms-ai-advisor/references/architecture/adr-template.md	template	ms-citation+path-conflict	MADR fill-in scaffold; MS citations are illustrative
ms-ai-advisor/references/architecture/ai-utredning-template.md	template	ms-citation+path-conflict	utredningsmal (fill-in document skeleton) grounded in utredningsinstruksen
ms-ai-advisor/references/architecture/alternativanalyse-methodology.md	methodology	path-heuristic	weighted MCA scoring process for architecture comparison
ms-ai-advisor/references/architecture/capacity-feasibility-benchmarks.md	methodology	path-heuristic	feasibility assessment framework (gap matrices, timeline validation)
ms-ai-advisor/references/architecture/decision-trees.md	methodology	path-heuristic	platform decision frameworks; embedded MS facts are supporting
ms-ai-advisor/references/architecture/diagram-prompt-templates.md	template	path-heuristic	prompt templates for Imagen 3 diagram generation
ms-ai-advisor/references/architecture/poc-template.md	template	ms-citation+path-conflict	POC plan/rubric/checklist scaffolds
ms-ai-advisor/references/architecture/public-sector-checklist.md	template	ms-citation+path-conflict	comprehensive fill-in checklist for public-sector adoption
ms-ai-advisor/references/architecture/rag-maturity-model.md	methodology	path-heuristic	maturity model + level-selection decision framework
ms-ai-advisor/references/architecture/recommended-mcp-servers.md	methodology	path-heuristic	advisory tool-selection guidance with matrix
ms-ai-advisor/references/architecture/source-traceability-assumption-register.md	methodology	path-heuristic	traceability/assumption-register process framework
ms-ai-advisor/references/development/agent-framework.md	reference	ms-citation+path-conflict	MS Agent Framework API facts, verified against MS Learn
ms-ai-advisor/references/prompt-engineering/regulatory-and-compliance-prompting.md	methodology	ms-citation+path-conflict	reusable compliance-aware prompting patterns
ms-ai-engineering/references/agent-orchestration/agent-compliance-and-audit-trails.md	reference	path-heuristic	Azure agent audit/compliance product patterns
ms-ai-engineering/references/agent-orchestration/agent-cost-optimization-strategies.md	reference	path-heuristic	Foundry/Azure cost-optimization product facts
ms-ai-engineering/references/agent-orchestration/agent-ecosystem-and-plugin-marketplace.md	reference	path-heuristic	agent ecosystem/marketplace platform patterns
ms-ai-engineering/references/agent-orchestration/agent-evaluation-testing-frameworks.md	reference	ms-citation+path-conflict	Azure AI Evaluation SDK facts (GA/Preview status)
ms-ai-engineering/references/agent-orchestration/agent-feedback-and-learning-loops.md	reference	path-heuristic	Foundry continuous-evaluation product facts
ms-ai-engineering/references/agent-orchestration/agent-latency-optimization.md	reference	path-heuristic	Azure agent latency/performance product patterns
ms-ai-engineering/references/agent-orchestration/agent-monitoring-observability.md	reference	path-heuristic	Azure tracing/observability product patterns
ms-ai-engineering/references/agent-orchestration/agent-routing-and-specialization.md	reference	path-heuristic	Semantic Kernel/Azure routing product patterns
ms-ai-engineering/references/agent-orchestration/agent-security-threat-modeling.md	reference	path-heuristic	Azure agent security product patterns
ms-ai-engineering/references/agent-orchestration/copilot-agent-integration-patterns.md	reference	path-heuristic	Copilot Studio integration product facts
ms-ai-engineering/references/agent-orchestration/declarative-vs-imperative-agent-design.md	reference	path-heuristic	MS agent-platform design tradeoff facts
ms-ai-engineering/references/agent-orchestration/multi-tenant-agent-isolation.md	reference	path-heuristic	Azure OpenAI isolation model facts
ms-ai-engineering/references/api-management/circuit-breaker-ai-resilience.md	reference	path-heuristic	APIM circuit-breaker configuration facts
ms-ai-engineering/references/api-management/load-balancing-openai-instances.md	reference	path-heuristic	APIM backend-pool/load-balancing facts
ms-ai-engineering/references/api-management/semantic-caching-apim.md	reference	path-heuristic	APIM semantic-caching policy facts
ms-ai-engineering/references/api-management/token-rate-limiting-policies.md	reference	path-heuristic	APIM token-rate-limit policy facts
ms-ai-engineering/references/data-engineering/data-quality-ai-frameworks.md	reference	ms-citation+path-conflict	MS data-quality tooling (Purview/Fabric) facts
ms-ai-engineering/references/mlops-genaiops/model-evaluation-frameworks.md	reference	ms-citation+path-conflict	Azure ML/Foundry evaluation tooling facts
ms-ai-engineering/references/multi-modal/accessibility-multimodal-ai.md	reference	path-heuristic	Azure AI accessibility product facts (WCAG tooling)
ms-ai-engineering/references/multi-modal/audio-video-transcription-workflow.md	reference	path-heuristic	Azure Speech batch-transcription product facts
ms-ai-engineering/references/multi-modal/azure-video-indexer-patterns.md	reference	path-heuristic	Azure Video Indexer product facts
ms-ai-engineering/references/multi-modal/cv-llm-integration.md	reference	path-heuristic	Azure vision+LLM integration product facts
ms-ai-engineering/references/multi-modal/dalle-image-generation.md	reference	path-heuristic	Azure OpenAI DALL-E product facts
ms-ai-engineering/references/multi-modal/document-vision-processing.md	reference	path-heuristic	Document Intelligence product facts
ms-ai-engineering/references/multi-modal/gpt4o-vision-architecture.md	reference	path-heuristic	GPT-4o vision capability/token-model facts
ms-ai-engineering/references/multi-modal/image-classification-understanding.md	reference	path-heuristic	Azure vision model selection/training facts
ms-ai-engineering/references/multi-modal/multimodal-content-safety.md	reference	path-heuristic	Azure AI Content Safety product facts
ms-ai-engineering/references/multi-modal/multimodal-evaluation-metrics.md	reference	path-heuristic	multimodal evaluation metric/tooling facts
ms-ai-engineering/references/multi-modal/multimodal-prompt-engineering.md	reference	path-heuristic	multimodal prompting capability facts (GPT-4o)
ms-ai-engineering/references/multi-modal/multimodal-rag-architecture.md	reference	path-heuristic	Azure multimodal embedding/RAG product facts
ms-ai-engineering/references/multi-modal/ocr-pipeline-architecture.md	reference	path-heuristic	Azure OCR engine/pipeline product facts
ms-ai-engineering/references/multi-modal/real-time-audio-api.md	reference	path-heuristic	Azure OpenAI Realtime API product facts
ms-ai-engineering/references/multi-modal/speech-to-ai-pipelines.md	reference	path-heuristic	Azure Speech recognition pipeline facts
ms-ai-engineering/references/multi-modal/text-to-speech-citizen.md	reference	path-heuristic	Azure neural TTS product facts
ms-ai-engineering/references/multi-modal/video-analysis-patterns.md	reference	path-heuristic	Azure video analysis product facts
ms-ai-engineering/references/multi-modal/whisper-speech-recognition.md	reference	path-heuristic	Whisper on Azure product facts
ms-ai-engineering/references/rag-architecture/rag-evaluation-frameworks.md	reference	ms-citation+path-conflict	RAG evaluation tooling/SDK facts
ms-ai-governance/references/monitoring-observability/application-insights-llm-monitoring.md	reference	path-heuristic	Application Insights LLM telemetry facts
ms-ai-governance/references/monitoring-observability/azure-monitor-setup-ai-workloads.md	reference	path-heuristic	Azure Monitor configuration facts (Portal/PS/CLI)
ms-ai-governance/references/norwegian-public-sector-governance/anskaffelser-ai-procurement-framework.md	methodology	ms-citation+path-conflict	procurement process framework (lovgrunnlag + DFØ + SSA)
ms-ai-governance/references/norwegian-public-sector-governance/dpia-norwegian-methodology-ai.md	methodology	ms-citation+path-conflict	Datatilsynet DPIA process methodology for AI
ms-ai-governance/references/norwegian-public-sector-governance/gevinstrealisering-dfo-methodology.md	methodology	path-heuristic	DFØ 5-step benefit-realization process
ms-ai-governance/references/norwegian-public-sector-governance/norwegian-nlp-benchmarks.md	reference	path-heuristic	factual benchmark/model-comparison content; no MS authority → expected unsourced/deferred in Step 6
ms-ai-governance/references/norwegian-public-sector-governance/public-sector-ai-ethics-framework.md	methodology	ms-citation+path-conflict	Norwegian ethics governance landscape/framework guidance
ms-ai-governance/references/norwegian-public-sector-governance/ros-ai-threat-library.md	methodology	path-heuristic	reusable AI threat catalog for ROS assessment (OWASP-anchored)
ms-ai-governance/references/norwegian-public-sector-governance/ros-dpia-security-integration.md	methodology	path-heuristic	assessment sequencing/integration process guide
ms-ai-governance/references/norwegian-public-sector-governance/ros-maestro-multiagent.md	methodology	path-heuristic	MAESTRO 7-layer assessment framework + checklist
ms-ai-governance/references/norwegian-public-sector-governance/ros-methodology-ns5814-iso31000.md	regulatory	path-heuristic	NS 5814/ISO 31000/ISO 23894/AI Act Art.9 standard-text mapping
ms-ai-governance/references/norwegian-public-sector-governance/ros-report-templates.md	template	path-heuristic	Quick/Full ROS report fill-in scaffolds
ms-ai-governance/references/norwegian-public-sector-governance/ros-scoring-rubrics-7x5.md	methodology	path-heuristic	7x5 scoring rubric framework for ROS
ms-ai-governance/references/norwegian-public-sector-governance/ros-sector-checklists.md	template	path-heuristic	sector fill-in checklists (helse/transport/finans/...)
ms-ai-governance/references/norwegian-public-sector-governance/samfunnsokonomisk-analyse-nnv.md	methodology	path-heuristic	NNV/samfunnsøkonomisk analysis process (DFØ)
ms-ai-governance/references/norwegian-public-sector-governance/statistical-ethics-ssa-methodology.md	methodology	ms-citation+path-conflict	SSB statistical-ethics application methodology
ms-ai-governance/references/norwegian-public-sector-governance/utredningsinstruksen-ai-methodology.md	methodology	ms-citation+path-conflict	utredningsinstruksen applied as AI assessment process
ms-ai-governance/references/responsible-ai/ai-act-annex-iii-checklist.md	regulatory	ms-citation+path-conflict	Annex III high-risk categories/checkpoints (obligations from the Act)
ms-ai-governance/references/responsible-ai/ai-act-classification-methodology.md	regulatory	path-heuristic	classification per the Act’s own rules (Annex III, provider/deployer roles)
ms-ai-governance/references/responsible-ai/ai-act-compliance-guide.md	regulatory	ms-citation+path-conflict	the Act’s risk classes + obligations are the substance; MS tooling is a section
ms-ai-governance/references/responsible-ai/ai-act-conformity-assessment.md	regulatory	path-heuristic	Art. 43/47 + Annex IV conformity obligations
ms-ai-governance/references/responsible-ai/ai-act-deployer-obligations.md	regulatory	path-heuristic	Art. 26/27 deployer obligations
ms-ai-governance/references/responsible-ai/ai-act-fria-template.md	template	path-heuristic	FRIA fill-in scaffold (7 sections) grounded in Art. 27
ms-ai-governance/references/responsible-ai/ai-act-microsoft-tools-mapping.md	reference	path-heuristic	MS tool capabilities mapped to AI Act articles (Purview/Compliance Manager facts)
ms-ai-governance/references/responsible-ai/ai-act-provider-obligations.md	regulatory	path-heuristic	Art. 9–15 provider obligations
ms-ai-governance/references/responsible-ai/ai-act-transparency-notices.md	regulatory	path-heuristic	Art. 13/50 transparency obligations (maler secondary)
ms-ai-governance/references/responsible-ai/ai-ethics-in-public-sector.md	reference	ms-citation+path-conflict	MS RAI standard + Foundry capability facts are the substance
ms-ai-governance/references/responsible-ai/ai-governance-structure-framework.md	methodology	ms-citation+path-conflict	organizational governance framework guidance
ms-ai-governance/references/responsible-ai/ai-impact-assessment-framework.md	methodology	ms-citation+path-conflict	impact assessment process framework
ms-ai-governance/references/responsible-ai/gdpr-compliance-ai-systems.md	regulatory	ms-citation+path-conflict	GDPR obligations applied to AI systems
ms-ai-governance/references/responsible-ai/model-explainability-interpretability.md	reference	ms-citation+path-conflict	Azure ML RAI dashboard/InterpretML product facts dominate
ms-ai-governance/references/responsible-ai/responsible-ai-framework-overview.md	reference	ms-citation+path-conflict	Microsoft RAI framework facts, MS-verifiable
ms-ai-infrastructure/references/hybrid-edge/azure-arc-ai-management.md	reference	path-heuristic	Azure Arc product facts
ms-ai-infrastructure/references/hybrid-edge/azure-confidential-computing-ai.md	reference	path-heuristic	Azure Confidential Computing product facts
ms-ai-infrastructure/references/hybrid-edge/azure-iot-hub-ai-pipeline.md	reference	path-heuristic	Azure IoT Hub product facts
ms-ai-infrastructure/references/hybrid-edge/azure-local-ai-workloads.md	reference	path-heuristic	Azure Local product facts
ms-ai-infrastructure/references/hybrid-edge/data-sovereignty-norway-public-sector.md	reference	path-heuristic	Azure data residency/EUDB/sovereign cloud facts
ms-ai-infrastructure/references/hybrid-edge/edge-ai-inferencing-patterns.md	reference	path-heuristic	edge inference product patterns (IoT Edge, quantization)
ms-ai-infrastructure/references/hybrid-edge/edge-to-cloud-data-synchronization.md	reference	path-heuristic	edge-cloud sync product patterns
ms-ai-infrastructure/references/hybrid-edge/hybrid-rag-architecture.md	reference	path-heuristic	hybrid RAG architecture product patterns
ms-ai-infrastructure/references/hybrid-edge/iot-operations-ai-integration.md	reference	path-heuristic	Azure IoT Operations product facts
ms-ai-infrastructure/references/hybrid-edge/kubernetes-edge-aks-edge.md	reference	path-heuristic	AKS Edge Essentials product facts
ms-ai-infrastructure/references/hybrid-edge/network-constrained-ai-deployment.md	reference	path-heuristic	constrained-network deployment product patterns
ms-ai-infrastructure/references/hybrid-edge/offline-first-ai-applications.md	reference	path-heuristic	offline-first AI application product patterns
ms-ai-infrastructure/references/hybrid-edge/on-premises-slm-phi-deployment.md	reference	path-heuristic	Phi-3/Phi-4 on-prem deployment facts
ms-ai-infrastructure/references/hybrid-edge/onnx-runtime-edge-deployment.md	reference	path-heuristic	ONNX Runtime product facts
ms-ai-infrastructure/references/hybrid-edge/regulatory-compliance-edge-ai.md	reference	path-heuristic	MS compliance tooling for edge (Arc/Purview/Defender/Compliance Manager) is the substance
ms-ai-infrastructure/references/hybrid-edge/sovereign-cloud-norway.md	reference	path-heuristic	MS sovereign cloud capability facts
ms-ai-infrastructure/references/hybrid-edge/windows-ai-apc-capabilities.md	reference	path-heuristic	Windows ML/NPU/Copilot+ PC facts
ms-ai-security/references/ai-security-engineering/ai-security-scoring-framework.md	reference	ms-citation+path-conflict	documents Microsoft’s AI Risk Assessment Framework (MS-verifiable)
ms-ai-security/references/ai-security-engineering/secure-model-deployment-hardening.md	reference	path-heuristic	Azure ML/ACR/Defender/Key Vault hardening facts
ms-ai-security/references/performance-scalability/auto-scaling-ai-infrastructure.md	reference	path-heuristic	Azure Container Apps scaling facts
ms-ai-security/references/performance-scalability/cdn-edge-caching-ai.md	reference	path-heuristic	Azure Front Door/CDN product facts
ms-ai-security/references/performance-scalability/latency-optimization-azure-openai.md	reference	path-heuristic	Azure OpenAI latency optimization facts
ms-ai-security/references/performance-scalability/performance-benchmarking-frameworks.md	reference	ms-citation+path-conflict	azure-openai-benchmark/Azure Load Testing/Foundry eval facts
ms-ai-security/references/performance-scalability/streaming-response-patterns.md	reference	path-heuristic	SSE/streaming implementation facts for Azure OpenAI