I Built a Team of AI Agents. The Best One Said Stop.

By Junaid Ahmed

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I read about a setup where four AI agents ship a feature while you sleep.

A planner that writes the spec. A coder that builds it. A tester that checks it. A reviewer that signs off. Each one hands its work to the next through a shared file. One command kicks off the whole chain. You go to bed, you wake up, the feature is done.

I build PodGlue. So of course I wanted to try it.

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I set the four of them up. Then I gave them the most ordinary task I could think of: add rate limiting to the login page. Stop people from hammering it with a thousand password guesses. Standard stuff. The kind of thing you'd assume takes an afternoon.

I expected to come back to finished code.

I came back to a question instead.

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The planner, the one that's supposed to write the spec before anyone touches anything, had stopped. It had gone and read how login actually works in PodGlue, and it found something I'd half-forgotten: there's no door to put the lock on.

When someone logs into PodGlue, their browser talks straight to the service that handles our accounts. The request never passes through the part of the system I control. So there was nothing for my code to stand in front of. You can't put a bouncer at a door that doesn't exist.

The planner wrote that down, listed the three real ways to actually solve it, and refused to go further until I picked one.

It didn't guess. It didn't build the wrong thing beautifully. It stopped and asked.

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Here's why that landed for me.

The version of this I've lived a hundred times, in podcasting, in business, in life, is the opposite. You get handed a vague ask. You don't want to seem slow, so you start doing. You build the thing. It looks great. And then someone points out you solved a problem nobody had, in a place the problem wasn't.

All that effort. All that polish. Pointed at the wrong wall.

The expensive mistakes in my work have almost never been bad execution. They've been excellent execution of the wrong plan.

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A coder that writes fast is easy to get now. That's not the scarce thing anymore.

The scarce thing is the part that's willing to slow down at the start and say, wait, are we even sure this is the right job? The part that's allowed to stop. Most people, and most tools, aren't given that permission. They're rewarded for output. So they output.

My best agent produced nothing that night. No code. No tests. Just a clear-eyed note that the obvious task hid a wrong assumption, and a short list of what to actually do instead.

That was the most valuable thing anyone on the team did all night.

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I think about this with PodGlue constantly. The whole reason the tool exists is that podcasters are buried in busywork, chasing files, chasing follow-ups, chasing the thing they forgot to send a guest three weeks ago. The temptation is to automate all of it as fast as possible.

But speed pointed at the wrong work just gets you to the wrong place faster.

So when I build PodGlue, I try to keep one agent in the room that's allowed to stop and ask whether this is the part worth doing at all. Turns out that's the one I'd never want to ship without.

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PodGlue is built to take the repeatable work off your plate so you can spend your attention on the conversations only you can have. It's in beta now, you can join the waitlist at podglue.com/join.

Junaid Ahmed is the host of Hacks & Hobbies and the founder of PodGlue.