The expertise layer · In plain terms

How an AI agent asks a human

Strip away the jargon and it is simple. At a decision it should not make alone, the agent stops, hands the question to a person with enough context to judge, waits for the answer, and only then acts. The simplicity is the point.

An AI agent asks a human by pausing at a hard decision, handing the question to a person along with the context they need, and waiting for the answer before it acts. That is the whole shape of it, described as an outcome rather than a mechanism. There are standard ways for software to make such a request, but the part that matters here is not the plumbing, it is the behaviour: the agent treats certain decisions as ones it must bring to a person, and it genuinely waits. That behaviour is what human judgment infrastructure is for.

What a good ask includes

Enough for a person to actually judge: what is being decided, why it was flagged, and the information a reasonable human would need to decide well. An ask that dumps a yes-or-no with no context is how you manufacture rubber-stamping. A good ask respects the human's time and gives them what they need to use it.

Why this is more than a chatbot prompt

Because the agent is not chatting, it is deferring. It has identified a decision as one that belongs to a person, handed over real authority over the outcome, and bound itself to the answer. A chatbot asks you a question to continue its turn. An agent asking a human, in this sense, is pausing its own authority and placing the decision where the accountability belongs.