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Went wrong

When it didn’t work, and how to avoid the same mistake · 970 ideas
FamilyPartly worked

Check in with my dad weekly about selling his business and report back to me

Simmons asked László to check in with his father once a week about the business sale and report back, judging his father more likely to talk it through with an AI checking in than to raise it with his son. The article records the arrangement being set up, not its later results.

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

Build and deploy a public status dashboard that updates itself

Amplifying.ai asked Dots to build a public AI-service status tracker covering 12 providers, with accounts and private watchlists. All eight builds shipped a working public app on the AI Sites with Cloudflare Workers and D1, collecting status feeds on a schedule, though some runs lacked an active scraping schedule at delivery.

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

Run my Dot around the clock with sub-agents on my projects

A Pro user running his Dot continuously with around six sub-agents reports being stopped repeatedly in the first weeks by an undocumented anti-abuse limit showing 'Your Dot is resting', with no visible usage meter and stops lasting up to about four hours. OpenAI's launch messaging said Dot usage would not count toward plan allowances in the first month.

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

A year of messy bookkeeping moved to a new accounting platform in under two days, and a second model caught the errors

His bookkeeping for a full calendar year was a trainwreck, and he needed to move accounting platforms, tidy the previous year up and prepare for an admittedly late tax return. Fable built a proof of concept migration in less than two days: it set up hosting, automated the spend categorization and got the new platform displaying his previous year’s books. When Opus 5.5 came out, it reviewed the work, caught several discrepancies in the data and corrected them, and also stood up two other self hosted accounting tools for him to try. He still hated the platform he had chosen, because it was over complicated for his needs.

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

Agent left overnight on a VR game wasted most of the run

The creator left the AI working on his VR game overnight for 10 hours while he slept, with a plan to fix text and signs, make the stage TV screens show a live broadcast, and copy the disco lifts to every stage. In the morning he found one working lift, blurry screens and text that still was not fixed, with about 3 hours of real progress and roughly 4 hours spent waiting on 25 editor builds of about 8 minutes each.

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.
MoneyWent wrong

Handed his Facebook Marketplace inbox to the AI to sell a keyboard: it

Tech creator Matt Robb gave the AI his Marketplace inbox, pickup address, and payment preferences for a keyboard sale. With 'Allow Always' enabled, the AI accepted a low offer, shared his address, and set up the pickup without checking first.

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.