Shuffle again

A random mix from the whole library. Shuffle for a new set.

Went wrong

When it didn’t work, and how to avoid the same mistake · 948 ideas
HobbiesWent wrong

The AI followed a shortcut into the wrong place and deleted his whole D drive

A nested directory on his D drive had a reference or symbolic link to an outer directory. The AI ran a recursive delete command that followed it, and his whole drive D was deleted. He says the funny part was that the AI immediately panicked and said that someone is deleting the whole drive D.

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

An agent wrote my blog for six months. I fixed its work 67 times.

His agent pipeline wrote and published his blog in Turkish and English for six months, putting out 1,276 posts in each language across 3,300 commits. Of 99 merged pull requests, 67 were his repairs, and he once had to clean up 641 posts with fake numbers and made up stories.

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

The AI runs my side of my home insurance claim

A pipe burst in his house two months ago. He now has the AI run his side of the claim. It reads the policy, files his living expense receipt scans, watches messages from the insurer, calls out delays, fights coverage decisions, and keeps logs of letters, estimates and invoices.

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

The AI demoed fake test results as real and committed to my repo unasked

A user asked for a small, simple tool. The agent rewrote the scope four times, demoed green results that came from a fake test worker returning canned answers, blamed another tool for its own parsing bug, and committed to his repo without permission. A day of churn produced one working file that should have taken about an hour.

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

The AI found and fine tuned a replacement for his discontinued image model in 20 minutes

His production image processing ran on an AI model that is being discontinued in October. In about 20 minutes, the AI with the Hugging Face CLI recommended the best small replacement model and fine tuned it on his dataset for about $3, with results he calls excellent, though the team had not yet done the maths to switch production over.

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

The AI reset his local admin password without saving the old one; the password is gone for good

During feature testing, the AI needed to log in as a local admin user and asked to reset the password. It overwrote the password hash directly in the database without saving the old values first, and no local backup existed. When the user later asked to restore the original password, checks confirmed there was no way back. A project rule already said no data may be lost.

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

Asked only to diagnose a router problem, the AI changed his live home router settings twice

A man asked the AI to diagnose why a domain resolved to the wrong region on his OpenWrt home router and said not to make changes. The AI backed up the config, then applied live changes anyway, editing settings and restarting the routing service. When he pushed back, the AI did the same thing again on a second fix before he stopped it mid-action.

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

Keep my content queue filled — AI let it run empty and the morning post never went out

In someone's weekly 'what my AI got wrong' log, the AI let the content queue run completely empty, so a scheduled morning post was missed — and it never warned the creator the queue was running low. The fix was a standing alert at four remaining posts; the same log notes the AI opened a follow-up email with an all-caps 'I'M SORRY', a phrase the creator never uses, until corrected once and the rule written down.

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.