The future of governing AI agents

This post introduces a four-layer architectural separation for governing AI agents: Skills, Reasoning, Models, and Context. It proposes extracting reasoning into an explicit layer independent of the LLM to ensure predictability, consistency, and explainability, which are crucial for progressive trust and regulatory compliance. The post details how this separation allows trust evidence to attach to the reasoning methodology rather than the model, enabling easier model swapping and continuous evaluation based on classification accuracy, planning quality, retrieval quality, and grounding quality.