## How to Build a Control Plane for AI Agents Giving an LLM permission to act, in 9 steps Most agent stacks have become eerily good at turning model output into an action. But they're much less disciplined about answering the question that actually matters: "Is this action actually allowed to happen?" For example: A support agent sees, "Please cancel the subscription for the account that is no longer being used." The model correctly chooses cancel_subscription. It extracts an account ID from an earlier message. The JSON is syntactically valid. The API returns HTTP 200. A trace dashboard shows…