The future of governing AI agents

What this post added

Introduces a 4-layer architecture (Skills, Reasoning, Models, Context) for governing AI agents, emphasizing the extraction of reasoning into an explicit, testable layer independent of LLMs. Proposes progressive trust as an operating model, where trust is earned through accumulated evidence of agent performance. Defines four key evaluation dimensions: classification accuracy, planning quality, retrieval quality, and grounding quality, to measure agent reliability and consistency.