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Insights on Governed AI Agents, Decision Intelligence & Context OS

Articles, frameworks, and practical thinking for teams building enterprise AI that is contextual, bounded, auditable, and trusted in production

AI Agent Reliability Enterprise | Stop Duplicate Actions

AI Agent Reliability Enterprise | Stop Duplicate Actions

AI agent reliability enterprise requires idempotency by design — not ad hoc retry logic. The Action Commit Protocol makes every agent action safe to ...

Semantic Layer for AI Agents: Why Dashboards Aren't Enough

Semantic Layer for AI Agents: Why Dashboards Aren't Enough

semantic layer for AI agents needs more than metric definitions — it needs provenance, policy, and confidence. See how Context OS delivers it.

Building an Offline AI Coding Agent: Three-Model Architecture, Context OS, and the Plan.MD Pipeline

Building an Offline AI Coding Agent: Three-Model Architecture, Context OS, and the Plan.MD Pipeline

How ElixirData built a custom AI coding agent using open-source models, a Planner-Generator-Completer pipeline, and Context OS — entirely offline, ...