Lots Of People Are Demoing AI Agents. Almost Nobody's Shipping Them The Right Way.

Lots of people are demoing AI agents. Almost nobody's shipping them the right way. Conference stages are packed with live demos of agents writing Terraform, spinning up Kubernetes clusters, and generating Helm charts on command. The audience claps. The tweet goes viral. And then... nothing ships. Here's the uncomfortable truth: the gap between "look what my agent can do" and "this runs in production every day" is enormous. I've been on both sides. I spent years as an Enterprise Architect watching organizations spin up AI pilots that never graduated. Now I run my own infrastructure with Claude as the core agent — not as a demo, not as a proof of concept, but as the actual engine that keeps things moving. This is how I did it, and what most people are getting wrong. The problem: agents without harnesses Here's a stat that should bother you: 89% of teams running AI agents have observability. Only 52% have evals. Read that again. The industry built agents that can generate Terraform, write