“Debugging Agentic AI in Production: Why Your Logs Are Useless”

We shipped an AI agent into production. It worked perfectly… until it didn’t. The worst part? Our logs said everything was fine. API calls → success Tools → returned valid outputs No exceptions anywhere And yet - the agent kept making the wrong decisions. That’s when it hit us: We weren’t debugging execution. We were debugging latent decision-making. The System (What We Actually Built) This wasn’t just an LLM wrapper. It was a full agent loop: User Query → Planner → Tool Selection → Execution → Memory → Next Step On paper, this is clean. In reality, each step.