The Missing Control Plane for Local AI Agents

I sat with my Pixel for 20 minutes trying to get Claude Desktop to dictate a Slack message via accessibility. It was miserable. The model was capable. The transport wasn't.

That gap — between an AI that can reason and an AI that can actually do — is what I've been working on with Drengr . This post is the version of the argument I'd give to anyone building local AI agents today.

What a control plane actually means here

When people talk about "AI agents," they usually focus on the model: which one, how big, how cheap to run, what context window. Those are real questions, but they all assume the agent has a way to act on the world. On mobile, it mostly doesn't. iOS sandboxing prevents one app from touching another.…