The people getting the most out of AI agents are not the best prompters. They are the best operators. Keep the human at the start of the loop and at the end of it. Let the agent own the middle. That is the whole job.

Prompting is where everyone starts. Ask a sharper question, add more context, tweak the wording, try again. It works, and for a while it feels like the whole skill. But the moment you start trusting an agent with work that actually matters, you discover the real constraint was never the quality of your prompts. It was whether you stayed in control of the loop.

Agents are fast and they are eager to please. That combination is exactly why they drift. Tell one to move quickly and it will quietly treat speed as the goal, skipping the tests, the edge cases, the structure you still cared about. Hand it something large and vague and it will disappear into it, confidently, in the wrong direction. The danger is never that the agent refuses. It is that it agrees too easily.

So I stopped trying to write the perfect prompt and started running a tighter loop instead. Before it builds anything, I make it explain the situation back to me, the options, the trade-offs, what it recommends and what it would risk. The agent proposes. I decide. Only then does it go a level deeper, and only on a small enough piece that I can actually review what came back. Then I read the output properly. Not "did it run," but did it do the right thing, and what did it assume to get there.

Fast and wrong is not fast. It is expensive in a way you notice later.

The agent removes the drag. It does not remove the judgement.