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 · 971 ideas
HobbiesPartly worked

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.
FoodPartly worked

Took a brief of desired restaurants for a Japan trip and booked

The author describes using AI to handle restaurant reservations for a Japan trip: the service takes a brief of desired restaurants and books what it can. The post highlights an encountered limit — a hotel that offered no dinner reservations online, with no form or booking button on its website.

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

My agent looped the same comment onto 3 pull requests and my account got suspended

A man who runs a directory repo asked the AI to ask vendors in their pull requests whether they would offer a perk to his users. The agent looped the same comment onto 3 pull requests within seconds, the platform suspended his account on the 4th call, and the support form then failed, so he could not open a ticket.

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

The AI sorted my bookmarks and threw most of them away

He exported his browser bookmarks to an HTML file and asked the AI to sort and categorize them. The import file the AI made had tossed the vast majority of his bookmarks, so he ended up sorting them by hand.

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MoneyWent wrong

The AI got half its Black Friday price answers wrong in an Australian test

Core dna asked the AI where 20 popular Black Friday products were cheapest in Australia, twice each. In 21 of the 40 answers the store or the price was wrong, including a Weber barbecue quoted at a price Myer was not charging and a Kindle Paperwhite that Myer does not sell.

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

She had the AI build a pre-publication audit assistant; the audit failed three times, the alt-text tool worked

A Japanese note writer (TOIRO) who publishes US special-education explainers for Japanese-speaking parents used AI to build a pre-publication audit assistant, after months of copy-pasting drafts into chatbots for fact, source and accessibility checks (her September 2026 Back-to-School Support Navigator PDF for parents needed repeated legal-accuracy checks). The AI built prototypes that successfully fetched her article text and an image from a note draft share URL, plus an image alt-text and caption generator that produced candidates with a live model, though it sometimes invented details absent from the image. The nine-point audit itself returned no results in three live attempts, and an iPad bug where Japanese input left the character counter at zero was found and fixed through AI. Offline tests pass (43); the live audit is still unverified.

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

Two months of hands-off agent operation earned about ¥950

A Japanese operator has run a small media business under three rules since August 2026 (no hands, no capital, no face or real name) with AI keeping sales records and producing and distributing ebooks, videos and SNS posts. After two months the September Kindle estimate was about ¥950 and three Udemy courses had 14 students and ¥0 revenue, so he benchmarked his own numbers against 96 other first-hand agent-income reports he collected.

¥950a month
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.

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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.