Deep Dive: How to Monitor AI Agents in Production

From the video description

You don’t know what your agent will do until it’s in production. In this technical deep dive, learn why production monitoring for AI agents requires a new approach to observability. ​When you ship traditional software to production, you usually have a good sense of what to expect. Users click buttons, fill out forms, and navigate through more predictable paths. Your test suite may cover a majority of code paths, and monitoring tools track the usual signals: error rates, response times, and database queries. When something breaks, you look at logs and stack traces.