How to Stop AI Agents from Making Stuff Up
AI agents often generate incorrect information because they are designed to be helpful, not because they are flawed. In this session, you'll learn how to prevent hallucinations in real workflows by setting clear rules, limiting data sources, and implementing validation checks. Discover how to design prompts and systems that reduce ambiguity, enforce accuracy, and ensure outputs can be trusted before they are used in customer-facing or internal processes.
