Building AI agents involves orchestrating multiple prompts, APIs, and decision flows. Each step adds complexity, and when something breaks, it’s rarely clear where or why. While many teams begin with spreadsheets or simple scripts to track prompts and outputs, this approach quickly falls short.  What’s needed is a systematic way to observe, evaluate, and refine AI agents continuously. By unifying these workflows, teams can move faster and ensure agents perform reliably in production. This eBook explores how Arize and Google Cloud help teams bring observability, evaluation, and iteration into a single environment.