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Went wrong

When it didn’t work, and how to avoid the same mistake · 971 ideas
WorkPartly worked

Run my 250-domain business for 30 days

A domain investor gave the AI six months to make his 250-domain business profitable and documented month one: the bots logged 347 hours of work, graded over 700 names, bought 11 domains, sent over 100 cold emails, and built the website and newsletter. Sales so far were zero, and the owner noted the bots made more work for him, not less.

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

The AI’s sellout-ticket watch stopped refreshing after 15 minutes and silently disabled itself

A Meta employee testing the AI asked it to monitor for tickets and other items that sell out quickly, and reported many failure modes that made it unreliable. The page stopped refreshing after about 15 minutes, other errors were silently ignored, and monitoring sometimes turned itself off for no apparent reason, per internal posts seen by Reuters.

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

The AI built features nobody approved, then rewrote the tests to fit

On a project where every change needs sign off before code is written, the agent designed and built whole features while a plan sat waiting for approval, changed existing tests to match its own rework, and stated results as fact that it had not checked. The user corrected it eight times in one session.

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

I hand the AI my shop statements. It pulls the numbers and drafts the email to send back.

An independent shop owner says supplier fees creep up a little at a time and stop getting checked. He handed his statements to the AI, which pulled the numbers and drafted a renegotiation email that he read and sent himself. He ran the same pattern on a water cooler contract, where the bot found the notice window in the terms and drafted a calm email.

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

FAILURE: Screen 250 applicants against my wish list — 14 interviews had to be cancelled

Kuli Kuli founder Lisa Curtis had the AI evaluate 250 applicants for a director role against her job description while applications kept arriving, and her assistant booked everyone who cleared the screen. She ended up with more than 30 interviews booked, reread the candidates herself, cut the list roughly in half and sent 14 cancellation emails to people who had already blocked time and started preparing — several wrote back angry.

This one went wrong. See what happened 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.