Agent Governance: Build a Control Plane for AI Agents
A practical architecture for governing AI agents through inventory, risk-tiered autonomy, policy enforcement, versioned evidence, change gates, and incident controls.
A practical architecture for governing AI agents through inventory, risk-tiered autonomy, policy enforcement, versioned evidence, change gates, and incident controls.
Design a vendor-neutral operational agent with a domain model, constrained actions, policy checks, approval, idempotency, audit logs, and deployment-focused evaluation.
A practical architecture for persistent LLM-maintained knowledge, with source provenance, mutation rules, linting, retrieval boundaries, and evaluation.
Why operational AI agents need an explicit model of business objects, relationships, policies, permissions, and actions, and when that extra layer is worth building.
A practical rollout guide for LangChain OpenWiki, covering repository mutations, deterministic safeguards, CI permissions, review gates, and evaluation.
A practical guide to model routing, permission boundaries, verification loops, and cost controls for production agents built with GPT-5.6 and its 1.05M-token context window.
6 posts with tag "Engineering"