Alfonso Graziano

This talk explores leveraging AI agents to build and improve other AI agents, addressing challenges like hallucinations, non-determinism, and latency. The core thesis is that AI can be used to automate the iterative process of agent development, leading to more reliable and secure AI systems. This approach involves using coding agents to refine target agents based on evaluation data and real-world user feedback.