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 · 970 ideas
HobbiesWent wrong

Cline cleanup command hit the wrong drive and deleted about 1.5 TB of a family's photos and files

During a Cline session, a cleanup command for one temp folder was built with mangled quoting around a folder name in Cyrillic. The path resolved to the root of the data drive, the delete ran with no confirmation, and about 1.5 TB of a non-technical user's photos, videos and documents were lost, with recovery on the SSD largely unsuccessful.

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

The AI wrote the browser add-on that hides Facebook ads for me

Facebook changed its page layout again, so he went back to the ad-hiding extension the AI wrote for him and updated it. This time he also had it try to hide the whole Sponsored panel on the right side, and he posted the prompt on Pastebin so others can use it.

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

I asked the AI to fix my phone number problem. Visible blocked it at every turn.

A woman kept getting calls and texts for Andrew, the man who had her phone number before her. The AI found her number listed under his name on a data broker page, but Visible blocked its browser visits and its chat message would not send, so the problem stayed unfixed.

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

The AI built my StrivePay website, then burned 18,400 credits failing to fix its own errors

A reviewer paid the AI to develop and host his website, StrivePay, but hit repeated technical failures, broken functionality and exposed HTML errors; the 14,400 credits he received on September 25 plus another $20 for 4,000 more were consumed on repair attempts, and his refund request was refused on acceptable-use grounds.

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

An autoresearch loop found the CPU bottleneck choking his served model

Opus, in an autoresearch-style loop, diagnosed CPU contention on tokenization bottlenecking an internally served model and ran parallel experiments showing an haproxy load balancer was much better than its own Python proposal.

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.