You've sent AI work you never checked. It looked done.

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You don't send a colleague a three-word brief. You explain the context, the constraints, what you've already tried. But typing all that into ChatGPT takes forever — so you don't.

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You've probably already sent AI work you never fully checked. It looked finished, and finished work is easy to wave through. The summary that read clean. The draft that landed close enough.

That's the part that should make a Chief of Staff nervous. The work that looks most done tends to get the least scrutiny, right as it goes out under your executive's name. Looking done counts for nothing there.

Last week was the input: context engineering, the frame you set before the model reasons. This week it's the output.

The new skill is deciding how closely to supervise: steering the work and correcting as it goes, or dispatching it and checking the result after.

A few months back I dispatched a task I should've steered.

I had AI turn a messy client call into a recap and sent it without really reading it. It looked clean. It had also quietly merged 2 separate decisions and pinned one on the wrong person. My client caught it before I did.

That will keep you up at night, trust me.

So now I run 2 questions before I trust anything AI hands me.

Last week, those questions split 2 tasks for me. I could check a transcript against the recording in 5 minutes, and only I would see it, so I dispatched it. The board narrative had no clean source to verify, and my client's name was on it, so I steered it, fixing the tone and other inconsistencies before it reached the deck.

The higher the stakes, the closer I stay.

The prompt is for CoS Signal members, along with the upcoming prompt library and everything else members get. Founding rate is locked at $14.99/month or $99/year.

Companies are giving AI agents direct access to their work, but only 5% allow them to make high-stakes calls without human review, per Grant Thornton's 2026 AI Impact Survey. Most keep agents on moderate-risk tasks. That's steer-vs-dispatch drawn at company scale, and the same call you're making on your own desk.

Nate's Newsletter has the sharpest piece on this, on how today's AI tools train you to either steer or dispatch. It's the read that makes this issue stick.

We're looking for guest contributors! Have you figured out how to use AI to do your job better, and you've been meaning to write it down? This is the nudge.
What we're looking for: specific workflows, real problems solved, honest takes on what broke before you got it right. The more concrete, the better.
What we offer: editing support, your byline, and distribution to our subscriber base.

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If you know another CoS sitting in the "we have the tools, now what?" conversation, forward this to them.

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