Building AI Systems that Ship

Resources from my talk on what it takes to get AI agents working outside a controlled demo. Let’s connect on LinkedIn and BlueSky.

Presented at AI Engineer Europe 2026

Conference Web Site View Slides →

Abstract

Most agent demos break the moment they leave a controlled environment. The model works fine. The systems around it don’t. In this talk, I’ll walk through what “agent-ready” means from two sides: a codebase agents can safely change, and a product agents can reliably use. I’ll use two real projects as examples: Case, a harness for orchestrating coding agents, and the WorkOS CLI. Together, they show how to give agents real freedom while keeping quality high through clear constraints, machine-friendly interfaces, and feedback loops that compound over time.

Resources

Case Statement: Building a Harness — the deep dive on Case
AIE Europe recap