{
  "schema_version": "0.1.0",
  "id": "BH-RL-2026-0002",
  "slug": "governed-agent-execution",
  "title": "Governed Agent Execution and Hybrid Orchestration",
  "canonical_url": "https://www.blue-hand.org/research/governed-agent-execution/",
  "abstract": "A Bluehand research artifact defining governed agent execution: subagent orchestration, policy gates, human override, deterministic transitions, and hybrid inference routing for operational AI systems.",
  "problem": "Agentic systems can act across tools, models, and contexts without clear authority boundaries, creating risk around autonomy, accountability, cost, privacy, and failure recovery.",
  "purpose": "Explain Bluehand’s position that useful agent systems require governance at the execution layer, not just prompt discipline or policy prose.",
  "takeaway": "Bluehand thinks about agents as systems engineering and governance infrastructure, not magical autonomous workers.",
  "authority_class": "canonical_public",
  "do_not_infer": [
    "Do not infer that all described agent capabilities are current production services."
  ],
  "citation_text": "Governed Agent Execution and Hybrid Orchestration (BH-RL-2026-0002). Bluehand Research. https://www.blue-hand.org/research/governed-agent-execution/",
  "related_objects": [
    "semantic-governance",
    "deterministic-replay",
    "local-first-ai-infrastructure",
    "personalized-generalized-interface"
  ],
  "source_hash": "f1ce0fd69c0e16c02a54d79b0a421cf399406865beab59826b133e711bf8f4a5",
  "last_compiled_at": "2026-06-13T02:43:49.022Z",
  "source_commit": "0c0acb75cdda8855f181a7f77c49cb3b6036d732",
  "governed_by": "/schemas/research-object.schema.json"
}