evaluation-flywheel

Defines conflict resolution and compaction strategies for durable memory to preserve accuracy and relevance over long runs.

Produces structured multi-agent architecture plans with explicit design decisions, constraints, and validation strategy before implementation.

Establishes tool-first architecture where the model plans and validates while tools perform concrete operations under strict permissions.

Guides memory stitching through indexed retrieval, evidence-gated persistence, and compaction rather than naive transcript accumulation.

Defines least-privilege capability brokering and approval tiers for agent and tool actions.

Enforces trust boundaries and sanitization in context assembly to resist prompt injection and unsafe instruction flow.

Defines structured recovery playbooks for tool, orchestration, and memory failures with explicit escalation rules.

Defines human-in-the-loop approval gates for high-risk and ambiguous multi-agent decisions.

Defines policy-based model routing using quality, latency, and budget constraints with safe degradation paths.

Defines tenant isolation, data minimization, and egress controls for multi-tenant agent systems.

Defines deterministic orchestrator state machines with explicit transitions, retries, and terminal failure handling.

Hardens packaging and release pipelines to prevent accidental source, secret, and debug artifact exposure.