{
  "id": "studio-51b15b61-6112-4fea-a94b-416fd7e71582",
  "scope": "studio_project",
  "source_of_truth": "supabase.studio_artifacts",
  "source_path": "studio_artifacts/51b15b61-6112-4fea-a94b-416fd7e71582",
  "source_kind": "supabase_json",
  "visibility": "internal",
  "renderer_id": "design_doc.dreamborn-forge.generated.v1",
  "design_system": "dreamborn-design-system:forge",
  "generated_at": "2026-05-09T13:00:56.413Z",
  "artifact_type": "module-spec",
  "schema_version": "1.0",
  "title": "KnowledgeVault AI module-spec M-08",
  "summary": "M-08 enables company-authenticated field technicians to query a named AI expert persona and receive a GPT-4o synthesised first-person answer attributed to that expert. The module adds GET /api/virtual-experts (listing all published experts) and POST /api/virtual-experts/[id]/query (scoped pgvector similarity search over the expert published knowledge chunks, GPT-4o synthesis with strict no-fabrication instruction, field_verified_badge logic, and field_queries audit logging). Two React screens co",
  "status": "approved",
  "version": 1,
  "phase_id": "M-08",
  "project_id": "572d75d0-3088-4055-be75-601d25442c61",
  "project_slug": "bezeliq-knowledgevault-ai-572d75d0",
  "project_title": "KnowledgeVault AI",
  "client_id": "bezeliq",
  "platform_project_id": "0.0.8773774",
  "format_source": "supabase_json",
  "content_shape": [
    "summary",
    "module_id",
    "api_routes",
    "data_model",
    "module_name",
    "deliverables",
    "integrations",
    "prerequisites",
    "open_questions",
    "schema_version"
  ],
  "sections": [
    {
      "title": "Open Questions",
      "level": 2,
      "body": ""
    }
  ],
  "html_path": "projects/bezeliq-knowledgevault-ai-572d75d0/artifacts/module-spec-m-08-51b15b61.html",
  "json_path": "projects/bezeliq-knowledgevault-ai-572d75d0/artifacts/module-spec-m-08-51b15b61.json"
}