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Build the AI Teammate That Catches Your Mistakes Before They Publish

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Build the AI Teammate That Catches Your Mistakes Before They Publish

A couple of years back, I spent an afternoon in Zapier trying to build an AI agent. What I actually built was an automation, and then a more complicated automation, and then a very complicated automation that I eventually walked away from. It did exactly what I told it to do every single time. That was the problem.

I think about that afternoon a lot now, because I run five podcasts and somewhere north of thirty-six episodes a quarter. At that volume, the thing that breaks is never the drafting. Drafting got solved. What breaks is the last ten feet: the post that goes out with the wrong image attached, the asset briefed as video that ships as a still, the guest promo that runs twice because two people scheduled it. Nobody catches those in the draft. They get caught by a follower, in public, on a Tuesday.

So when Loren Bartley walked me through her Claude setup, the part that stopped me was not the 150 named skills. It was the one she built specifically to tell her she was wrong.

Think about the assistants you have configured. Every one of them is built to produce. You ask, it delivers. You ask again, it delivers again. The entire interaction is shaped around compliance, and we have gotten so used to that shape that we stopped noticing it.

Which means the approval step is still entirely yours. You are the only thing standing between a draft and a live post, and you are reviewing your own work, on a Friday, on your ninth item.


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