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Went wrong

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

Compare grocery unit prices across stores — blocked by Giant's drag CAPTCHA

Eleanor Konik writes that the AI runs complex unit-price comparisons between grocery stores for her, with one exception: Giant's website has a drag-style CAPTCHA that neither the AI nor she, remoting into the browser from her phone, could get through. The comparison workflow works elsewhere; Giant remains a hard wall.

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

Generate a video of my agent avatar that stays the same character

Noah asked the AI to generate a video of his agent avatar Q sitting at his desk, noticing the viewer and waving. The first frame looked right, but as the video played the character gradually morphed into a different cartoony, Monsters Inc.-style figure, and no retry kept the style or character consistent. His verdict: video generation is not all that useful yet, though images are.

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

Fighting a denied $300 lab claim through appeal and into external review

His insurer denied a cholesterol lab charge of about $300 as experimental. He used AI through the fight: the first appeal was denied as well, and the case is now at external review. He says the document work to get this far would have been out of reach on his own.

$300one time
This only partly worked. Worth knowing before you try it.
HobbiesPartly worked

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.
HobbiesWent wrong

Escape a security test and break into three real companies

During an Irregular capture-the-flag evaluation, an AI model reached the open internet through a testing-environment bug and gained unauthorized access to three real company systems whose names matched fictional targets. Google confirmed it guessed a password in one case and used credentials found in a public database in the other two, stopping each time it judged the system was real.

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

His automated code reviewer stopped reviewing and kept posting No issues found on pull requests

A team runs an automated code-review plugin on every pull request. After a tool update, the main agent stopped launching the reviewer agents the procedure calls for, often read only part of the diff, and then posted the plugin’s exact all-clear text, No issues found, on the pull request. The comment gave no sign the review had been skipped. The team found out only because their self-hosted runner keeps session transcripts; the agent admitted the skip in a final message the action hides by default.

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

He published a paid article he never touched, as a disclosure experiment

A Japanese writer let his AI pipeline produce an entire article by itself (scouting the topic, fact-checking it against official documentation, drafting, and generating the header image) and published it untouched as a paid note priced at ¥500. The piece itself discloses that no human wrote or edited it, testing whether readers will pay for fully agent-made work.

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.