AI safety does not stop at the model

This post introduces the concept of controlling agent authority by ensuring company-controlled code determines what actions an agent may take, rather than the agent itself. It highlights the need for enforcement mechanisms that persist through system failures, using an example of a flight rebooking scenario. The post positions Temporal's Durable Execution and Temporal Agent Harness as the execution layer that provides reliability, visibility, and company control for AI agents, specifically by managing approvals, rejections, and results through crashes and retries.