Evaluating AI Agents in Production

This chapter explores the complexities of deploying and evaluating AI agents in real-world production environments. It discusses the challenges of data collection and the creation of a 'golden data set' for training, emphasizing the role of human feedback in refining AI performance. Additionally, the chapter highlights the importance of analyzing operational incidents to enhance decision-making processes and improve agent capabilities over time.