Tejas Kumar

This talk explores the concept of AI harnesses, defining them as the components surrounding an AI model that provide grounding in reality and ensure reliability. The speaker argues that harnesses are crucial for making AI agents dependable, especially when using rented, black-box models. By building a harness, developers can create stable environments that control agent behavior, regardless of the underlying model's non-deterministic nature.