The Loop, Not the Launch: Building Agents That Get Better With You

About this session

Agent building is a constant process of iteration, which raises two questions most teams don't have good answers to: how do you know when to stop, and how do you know what to improve next? In this talk, we'll share practical ways to identify what actually needs improving in an agent and how to prioritize those changes, plus techniques for building self-improving agents that can surface their own weak points. We'll also make the case for why full automation isn't the end goal, and where human review is what actually tells you the iteration is working, not just running. Attendees will leave with a framework for knowing when their agent is "done enough" and a concrete process for deciding what to fix next. If you've ever wondered whether you're improving your agent or just tinkering with it, this talk will give you the answer.