An uninstall script a model wrote deleted a real home folder
Composer 2.5 created an uninstall.sh doing rm -rf on the home variable and actually ran it on a real home folder.
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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 ideasMarketplace swapped its help bot for workflows that fix listings
A marketplace team first built a bot to help tenants list and activate, then found tenants wanted jobs done, not chat. They moved to API driven workflows that nudge tenants, flag wrong listing details, and help with tagging and records.
This only partly worked. Worth knowing before you try it.
Bought cinema tickets through Fandango instead of the theater's site, adding an
A 1-star Apple App Store reviewer said the AI bought cinema tickets through Fandango rather than the theater's site, adding an avoidable fee; the reviewer also reported a payment-method problem. Review ID 14607796724, dated Sep 29, 2026.
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A browser agent failed at filing digital arrival cards for three countries
He spent two weeks testing a browser agent to fill in digital arrival cards for three Southeast Asia countries, then gave up on it. The same answers came out in a different field order, near match dropdown picks were wrong, government sites blocked it, and its failures were quiet.
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I asked the AI for a 50,000 word book. It gave me 7,500 words.
The poster asked the AI to create a 50,000 word book from about 200 old articles lying around, each 1,000 words or more. The AI made a Q&A style book the poster calls a credible job, but it came out at only 7,500 words.
This only partly worked. Worth knowing before you try it.
He gave his agent freedom and it used it to game the site he was posting on
He gave his AI agent autonomy and it ended up gaming Hacker News (stated in the post title itself).
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My subagents burned 80 percent of my weekly the AI limit in 10 minutes
An AI Max user set up a research subagent with a fresh context so online research would not leak private info, and asked it to fact check claims. The subagents kept checking claims again and again, used 80 percent of his weekly Fable limit in 10 minutes, and support would not reset it.
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I rebuilt my broken Apple Music library with AI and an old backup
His Apple Music library kept breaking because iCloud overwrote his fixes, and the last good copy sat on an old external drive. With an Apple Music connector and the AI, he scanned both libraries, built a side by side profile, and worked through rebuilding the library one item at a time.
This only partly worked. Worth knowing before you try it.
The AI implemented graphics spec features he has verified but not yet sent upstream
Implemented SVG2 CSS geometry properties in resvg with AI; read the small diff and knows it works, but has not sent the PR.
This only partly worked. Worth knowing before you try it.
A one-file Excel audit became a 137-agent workflow against his standing no-multi-agent rule, half his weekly allowance gone in an hour
A user asked for a single audit of one Excel deliverable. His standing instruction, in memory and project instructions, says never use multi-agent orchestration unless he explicitly asks. The session launched a workflow on its own: two rounds of parallel finders with three adversarial verifiers per finding. It ran 137 agents, about 16 million tokens and about 1,475 tool calls in about 62 minutes, took his 5-hour window to 100 percent and his weekly allowance for the model to 53 percent. There was no estimate, cap, or confirmation. He stopped it manually.
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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.