The Agent Stack™: Why Your AI Agent Breaks in Production (A 5-Layer Debugging Framework)

If you've ever deployed an AI agent that worked perfectly in testing and became unreliable in production, this framework is for you.

The standard debugging instinct is to blame the model or the prompt. After 18 months of building AI-assisted workflows, I've found the failure is almost never there. It's in the stack — and usually in the layers that don't get written about.

Here's the framework I use: the Agent Stack™.

The 5 Layers

Every AI system — from a simple Claude workflow to a multi-agent production deployment — is composed of five layers. Each has its own failure modes. Weakness in any single layer degrades the entire system.