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. Android Accessibility Services exist but are heavy to set up, scary to permission, and limited in what they can synthesize. The result: you can ship a brilliant Gemini Nano running on a Pixel, and it still can't open Maps and start navigation for you.…