Book: Observability for LLM Applications — Tracing, Evals, and Shipping AI You Can Trust

Also by me: Agents in Production — the companion book in The AI Engineer's Library (2-book series)

My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools

Me: xgabriel.com | GitHub

Your triage agent has been in production for three months. The traces look clean. Every span is green, every run terminates, the p95 latency is flat, the token bill is boring. Then support forwards you a screenshot: the agent routed a billing refund to the security queue. You pull the trajectory. Nothing is broken. The agent called a reasonable tool with reasonable arguments, got a reasonable result, and picked the wrong queue with total confidence.