Moving from a viral demo to reliable enterprise AI is the hardest hurdle in modern software engineering. Because agents are inherently non-deterministic, validating performance requires a granular look at the "why" and "how" behind every action.

This session explores how observability redefines agentic evaluation beyond binary pass/fail testing, shifting the focus from the result to the entire reasoning chain. Featuring a live demo using Arize Phoenix and LangGraph, we’ll showcase how to trace complex loops and automate evaluations in real-time.

What you’ll learn:

Beyond Output: Why judging final answers alone is a recipe for silent failure.

Live Implementation: Using Arize Phoenix with LangGraph to visualize traces and debug agentic "thought processes".

The Playbook: An incremental framework for evaluation-first development.

Are you ready to stop guessing and start measuring? Join us to master the art of agent evaluation.