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Went wrong

When it didn’t work, and how to avoid the same mistake · 970 ideas
Life adminWent wrong

Clear the marketing clutter out of my Gmail and unsubscribe me

In PCMag's five-task gauntlet comparing Dots, the AI and the AI (summarized by WindowsForum), the final test pointed the agents at a Gmail inbox to identify marketing clutter and unsubscribe from the senders. The AI identified the emails but failed to launch its browser to actually follow through on external unsubscribe links when required, leaving the execution undone; Dots, by contrast, catalogued 700+ senders and clicked through unsubscribe pages.

This one went wrong. See what happened before you try it.
HobbiesPartly worked

My first model designed with AI 4 is a popcorn bucket

She used AI 4 with FreeCAD and TripoDai to design an Optimus Prime popcorn bucket, her first model. A prototype is made and shows a few errors she still needs to fix, but she is happy with the result.

This only partly worked. Worth knowing before you try it.
WorkPartly worked

Our daily the AI check of published quotes only matched the prices

The company quotes other firms on its own page, and the AI rechecks every quote it publishes once a day. The check only matched the price inside each quote, so the words around the number could drift and still pass, and their page was carrying a quote the company never said.

This only partly worked. Worth knowing before you try it.
WorkWent wrong

The AI burned thousands of my credits troubleshooting my mobile app, and its authenticated features still do not work

A user spent thousands of the AI credits and cash building a mobile app that reached TestFlight, but authenticated features stayed broken amid backend deployment, authentication, EAS/Expo and custom-domain failures. Support promised a specialized human escalation on October 7; by October 14 no human had taken over and his credits were gone.

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MoneyWent wrong

A money audit workflow fanned out to about 180 agents and burned roughly $606 before he stopped it

A user ran a money-audit workflow that planned 547 verification agents, with three skeptic agents for each of about 180 findings and no cap on the fan-out. About 180 agents ran, using roughly 36.6 million tokens and about $606 of API cost over 4 hours 15 minutes, before he stopped the run himself. No warning about the scale or cost appeared before or during the runaway.

$606at stake
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WorkWent wrong

A batch file the AI wrote deleted 1,068 files in my project

The AI wrote a Windows batch helper as a UTF-8 file with LF line endings. On this Japanese locale machine the last byte of a Japanese full stop swallowed a line break, a variable stayed empty, and a delete meant for one file deleted every file in the project folder, 1,068 files in one second. 123 files could not be recovered.

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Life adminPartly worked

My agents file FOIA requests on their own while I sleep

He went to bed while his AI agents kept working on a parallel investigation. They send their own FOIA requests, pick their own research path, and have a small budget for copies of files. He set the web permissions for the night before letting them loose.

This only partly worked. Worth knowing before you try it.
HobbiesPartly worked

Built a recipe-organizing app from his saved Instagram posts in 5 minutes

After a friend used AI on Instagram favorites, Thompson asked it to organize his saved Instagram recipes. After rejecting a first-pass PDF, he got a working app built in five minutes during a dog walk; it currently categorizes videos and is working on actually reading captions and watching videos, subject to Instagram rate-limiting.

This only partly worked. Worth knowing before you try it.
HobbiesWent wrong

I asked the AI to fix my laptop fan. It disabled my keyboard.

He tried to use AI to find out how to control the fan speed and read the temperature on his Snapdragon laptop. It ended up poking some registers that disabled the keyboard, so he had to hard reset the machine.

This one went wrong. See what happened before you try it.
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Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.