{
  "schema_version": 1,
  "builder_plan": {
    "scenario": "A workflow needs specialist review, but extra agents may add more cost than useful work.",
    "change": "Test the proposed division of work against a single-agent implementation.",
    "baseline": "One agent with the same tools and an equal total token and time budget.",
    "steps": [
      "Locate the paper's implementation and check its license, model support, data needs, and hardware requirements. Stop here if you cannot obtain the required artifacts.",
      "Save a small set of representative product tasks and expected outcomes. Keep evaluation tasks out of any training or tuning, and choose quality and cost limits before running.",
      "Run the baseline and the proposed change on identical inputs. Keep other settings fixed and repeat paired runs to expose variation.",
      "Save per-task outputs, failures, timings, and all usage costs. Review regressions before expanding the test."
    ],
    "measure": "Accepted outputs, coordination failures, wall-clock time, and total cost across all agents.",
    "decision": "Keep the change only if it meets your preselected quality and latency limits and improves the metric you care about after setup and operating costs. Otherwise retain the baseline. This is an exploration plan, not a validated recommendation."
  },
  "builder_review": null,
  "arxiv_id": "2609.25956",
  "title": "Governed AI-Agent Coordination for Dementia Care: Architecture, Safety Contracts, and Evidence-Derived Workflow Verification",
  "summary": "It replaces ad hoc LLM-agent pipelines with an external runtime separating observation, governed memory, planning, deterministic policy enforcement, execution, and outcome monitoring under a typed event-decision-action-outcome contract. The cost is substantial engineering complexity: a stateful memory store, a deterministic policy engine, versioning, and human hand-off channels must be built and maintained around any model, plus the integration burden with care systems. It can fail on traces outside the 18 covered scenarios, the results establish architectural conformance only (no clinical effectiveness), and errors in the policy specification itself propagate deterministically into production behavior.",
  "rationale": "The safety-contract pattern is relevant design guidance for any production agent, but the paper evaluates conformance on a synthetic trace harness rather than deployable cost or latency gains, so it warrants monitoring rather than adoption under constrained infrastructure.",
  "technique": "Governed closed-loop agent coordination runtime",
  "family": "orquestracao_multiagente",
  "recommendation": "observar",
  "published": "2026-09-22",
  "as_of": "2026-10-18",
  "editorial_status": "indexed",
  "source_url": "https://arxiv.org/abs/2609.25956",
  "independent_implementations": 0,
  "total_implementations": 0,
  "stars": 0,
  "citations": 0,
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