Sponsored by: Monte Carlo | Why Your Agents Keep Failing (And What to Do About It)

Every company is shipping AI agents right now. Most of them are failing, and nobody knows until a customer or an exec calls it out. The problem isn't the models. It's that teams are building agents on top of data they don't monitor, running them without observability, and trusting outputs no one has tested. In this session, I'll walk through the three places agents actually break in production: the data going in, the agent's own behavior, and what comes out the other side. I'll share a framework for catching these failures before your users do. The goal is simple: stop shipping pilots that quietly die, and start shipping agents that hold up when it matters.