Intelligence for developers and AI architects

Tools worth testing: Wan3.0 with rights-cleared assets; the LangSmith evaluator and API in a staging workspace; and an edge-AI hearing workflow under clinical and usability governance.
Model routing: route by modality, latency, residency, safety class and cost, and record the reason and fallback; do not let the fallback policy weaken.
RAG and knowledge graphs: keep claim-level provenance, retrieval time and immutable source snapshots, and show uncertainty when sources conflict.
MCP and tool use: secret isolation, schema validation, destination allow-lists and authorisation outside the model; practise OAuth secret rotation and revocation.
Agent memory: separate consented durable memory from temporary workflow state, with record-level retention and deletion.
Autonomous systems: separate perception confidence, planner state and actuation authority, and measure intervention, safe-stop and degraded modes.
Production readiness: keep migration stages and rollback, pinned versions, and workflow budgets for cost, latency and errors.




