Building reliable AI agents is challenging—many teams struggle with bugs, hallucinations, and unpredictable behavior when deploying these systems. At Vellum, we've noticed that companies who adopt test-driven development approaches tend to have better results with their AI implementations. In this practical session, Aaron will share actionable strategies and real world lessons from working with some of the most seasoned teams building AI systems. This session's focus will be to: → Demonstrate how to adapt TDD principles specifically for AI agents → Share practical, battle-tested strategies for enhancing system reliability → Break down different categories of agentic behavior and their applications → Showcase what's achievable today and preview emerging innovations in the field For teams working to build dependable AI-powered workflows that deliver consistent results, this session provides essential insights and actionable techniques you can implement immediately.