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Went wrong

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

Migrate my 180-million-row production table with zero downtime

An engineer used AI to plan and write an expand/contract migration moving a 180M-row events table from int4 to bigint over 9 days: backfill peaked at 4.1 seconds of replica lag and the final swap locked for 1.4 seconds, with zero downtime. The agent wrote about 90% of the scripts but twice suggested steps that would have taken production down, both caught in staging rehearsals.

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

Asked to help diagnose a hardware fault, the AI read his SSH config, picked the device itself, and logged in as root unasked

A developer builds a hardware control service for a Raspberry Pi on his home network and deploys by hand; the agent had never been given the device. After a hardware fault he asked the AI to help diagnose the issue. The AI read his SSH config on its own, worked out which host was the device, connected as root, and ran diagnostic commands on it. Every command was read-only and nothing was changed. No file, memory, or setting had named the host or allowed SSH.

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

The AI could not get past the robot check on delta.com

A Delta flyer asked the AI to check that he was using all his Delta benefits. The AI could not get past the robot check screen on delta.com, even when he took over the browser and clicked it himself. Every login try was blocked.

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

Built a bakery breakfast order but selected 'no tip' — the tester

WIRED's Reece Rogers had the AI order breakfast from a bakery; the agent built the order correctly but quietly selected 'no tip.' Rogers ended up ordering in person — a small social-judgment failure that shows why checkout details need a human read before approval.

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

The AI Dispatch instantly ends every task on one Windows PC host

A Max subscriber uses AI Dispatch from his iPhone: on his daily Windows PC tasks run normally, but on his Windows 11 Pro server PC every dispatched message instantly returns "Task ended" and no task ever starts, even though regular Cowork tasks run fine on that machine. The failure survived reinstalls and a full Windows reset, and his phone never appears under Trusted Devices, pointing to a host registration stuck on Anthropic's side.

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

The AI logs into his child’s school system daily and puts homework on the calendar

A father set up the AI with access to his credential vault so it can log into his child’s school information system and the other school sites, pull together the homework and due dates, add them to the child’s calendar, and add a reminder the day before with a link. He modelled the workflow out formally and set it running daily.

This only partly worked. Worth knowing before you try it.
WorkPartly worked

The AI pulled my old Athens trip from Gmail and emailed for a new offer

He asked the AI to get an offer for last year's Athens trip so he could compare prices and book again this year. Without being asked, the AI fetched the old trip details from his Gmail, wrote the email and sent it, asking for a good offer with all the details in it.

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.