Most AI coding agents are good until the task leaves the terminal.
They can edit files. They can run tests. They can explain a diff. Then the work hits a desktop app, an OAuth approval screen, a native settings window, or a web UI that was not designed for API access. Suddenly the agent is not stuck on intelligence. It is stuck on reach.
That was the gap I kept running into while building my local AI setup. I had Claude Code, Codex CLI, Gemini CLI, local models, provider keys, and account pools. The missing piece was not another model.
It was an operator.
The Problem Was The Boundary
