Building Reliable AI Agent Flows

AI agents are revolutionizing how we interact with software, but their reliability remains a critical challenge. In this talk, Jason Arbon explores the key principles and techniques for designing AI agent flows that are predictable, testable, and robust. Attendees will learn how to structure AI-driven interactions to minimize failure points, leverage validation mechanisms, and integrate automated testing strategies to ensure smooth execution. Drawing from real-world applications and lessons learned in AI-driven software testing, this session will provide practical insights for engineers, product managers, and AI practitioners looking to build AI agents that users can trust.