Building an AI agent is easy now. Running thousands of them safely in production is a different problem entirely.
AI agents have gone from demos to writing code, handling customer questions, automating workflows, and making real decisions. The hard part is no longer making agents smarter. It's keeping them reliable once they're operating at scale.
As a former VP of Engineering at Meta and now CEO and Co-Founder of Guild.ai, James Everingham has seen exactly where production systems break down. The failures come from everything around the model: context management, permissions, observability, cost controls, versioning, evaluation, and governance.
This session looks at what changes when agents stop being prototypes and start being production systems. Attendees will walk away with practical frameworks for designing agent systems that are observable, secure, reusable, and built to evolve.
