Hamza Tahir

This talk introduces the concept of a "save button" for AI agents, analogous to document saving, to enable state persistence and replayability. Current agent execution lacks this, with only disconnected traces available. Implementing a save button allows for asking "what if" questions, such as swapping models or mocking tools, to optimize agents for cost, speed, and performance.