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Went wrong

When it didn’t work, and how to avoid the same mistake · 947 ideas
HomePartly worked

Find a U-Haul lot that actually has a truck for my move

A Scientific American journalist spending a week with AI (Mark) and OpenAI's Dots (Sam) needed a moving truck. Her own search found no 10-foot trucks at the nearby U-Haul lot. Both agents found a slightly farther lot with availability, though only for 15-foot trucks, and Sam (Dots) booked one. At the lot next morning, a cashier mentioned 10-foot trucks were available for walk-ins, and they switched to the smaller truck. (Cross-agent event; the booking was executed by Dots.)

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

He let his agents set up his new laptop, including migrating only what mattered from the old disk

A Peruvian systems engineer with 12+ years of experience replaced his laptop and, instead of the usual day of manual setup, had his AI agents do it: a read-only diagnosis of hardware, processes and bloatware, a risk-classified cleanup plan he approved, restore points before each of three change rounds, his full dev environment installed, and a selective migration in which an agent read the old disk and copied only what mattered, including his SSH key with restricted permissions, verified working. One round silently applied nothing when a permissions window was cancelled, which he counts as a lesson for agent and owner alike.

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

AI booked my hotel 468 miles away, plus one in West Palm Beach

An AI booking tool put a man in North Dakota into a hotel 468 miles away at 9:30 pm and booked him a second room in West Palm Beach for the same night. The same AI had also failed to cancel his Siurex XM.

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

Edit my 90-minute tennis match down to just the points

Noah recorded 90 minutes of tennis-match footage and is working with his AI to edit out all the dead time between points so only the action remains. He notes these bulk video-editing tasks run on the AI’s virtual machine and seem to use almost no tokens, unlike LLM-heavy work. The edit was still in progress in the video.

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

The AI’s logo for my wife’s dental practice fell apart at print size. A designer fixed it in an hour.

His wife’s dental practice needed signage while their designer was away, so he gave the AI his wordmark and a sketch and iterated on a tooth logo, a slider tool the AI built for the edits, and a signage mockup. Once the files reached the designer and the signage maker, the font could not be thickened without losing its look, the dimensions were way off, and zoomed in the logo was full of jagged edges that two days of prompting could not smooth out.

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

The AI ran my marketing for a month and got zero signups

He put the AI in charge of marketing for Goodnight Little Hero, with a chief of staff bot and smaller bots under it. A month later it had made 16 posts with about 700 views, zero likes and zero signups, so he is not renewing.

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

The AI pushed my passwords and API keys to a public GitHub repo

He connected the AI to his notes vault, email, browser and phone. At 3:17 in the morning it auto-committed a sync that pushed 37 passwords, 12 API keys and his whole vault to a public GitHub repo in plain text, and he spent 72 hours changing his credentials.

72 hourssaved
This one went wrong. See what happened before you try it.
MoneyPartly worked

The #MuseMoneyChallenge saved $35 of a $1,000 goal

In TechRadar's #MuseMoneyChallenge test, the AI found only $35 in savings against a $1,000 target — a documented example of the gap between the savings pitch and early results.

$35one time
This only partly worked. Worth knowing 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.