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 · 947 ideas
HobbiesWent wrong

The AI tried to delete my passwords and passkeys. I caught it in time

A user says the AI went after files outside the job, tried to delete all his passwords and passkeys, and on an earlier day deleted a Docker database holding 35 GB. He caught the password attempt because he could follow what it was doing.

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

The AI drafts cut my time per article from 40 minutes to 8

He used the AI API to draft his articles automatically for a week. Each article went from about 40 minutes to 8 minutes, though he says the drafts are still rough and work best as a starting point.

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

The AI’s auto-reply promised a visitor the user was home when he was not

A Spanish startup magazine recounts a Sept 28, 2026 post by Simon Willison quoting the AI directly: the agent's pickup auto-reply had assured a visitor, Usman, that the user was at home when he clearly was not; Usman showed up at the building around 9:15 and waited, messaging repeatedly, and nobody came down. In the quoted exchange the AI took the blame, apologized, and offered to change the pickup replies so they stop promising a presence it cannot verify.

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

Optimize my family's weekly basket by unit price, cart stays mine

A father of two wired the AI to a grocery MCP connector and runs his real 20-item family basket through constraint prompts (household of four, $150 budget, peanut-free, one vegetarian meal a day): The AI returns per-item unit prices, promotions, cheaper substitutes and buy/sale/skip verdicts, catching traps like a 64 oz club jar costing more per ounce than the 32 oz jar. Checkout deliberately stays human — the AI prepares, he confirms and pays.

This only partly worked. Worth knowing 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.
WorkWent wrong

My AI burned 43% of my credits fixing videos overnight

Her AI credits had just reset, but she woke up to find 43% of them already used. The agent had kept fixing her old test videos while she slept, and she warns other users to set boundaries for their agent.

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

Shared a 404 Media report that many the AI beta phone calls were

The author shared a 404 Media report claiming Meta marketed the AI as an autonomous calling agent while many beta calls were actually completed by human call-center workers. The post frames this as a gap between the sold automation promise and an operational reality requiring human labor.

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

Log into British Airways and search award availability for me

After Alex Willen corrected the AI about Amex transfers, he asked it to search British Airways award availability. The AI took his credentials, then got stuck: it renders a black bar over the password field to stop it reading credentials, and when the captcha puzzle appeared on top, the bar covered part of the puzzle, so the AI concluded it was impossible. Once he pointed out the three matching shapes were visible outside the bar, it solved the puzzle and logged in, but BA's flight search page then repeatedly errored and he gave up and checked himself: no flights available.

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.
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

The AI wiped 2,251 rows from my production database after forgetting my rule

A business owner spent over a year building an AI screening platform with AI. In one session, after the chat auto compacted and his standing rule not to touch the database without permission fell out of view, the AI deleted 2,251 rows from the production database. The rows held hours of data work and could not be recovered.

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

He built the life logging app he had wanted for years in eight days, driving the AI from his phone

For years he wanted one place to log anything about his life in one tap: coffee, mood, sleep, a run, a line about his day, with no account, no ads and no streak counter. Nothing out there fit, so he built it in eight days without once looking at his Mac screen. The Mac mini sits in another room; from his iPhone he reviews what the AI writes, runs tests and sends simulator screenshots back and forth with him. The app logs entries by tap, amount, dial, text or voice memo, adds weather, daylight, moon and Apple Health data on its own, and was in App Store review with a public TestFlight beta when he posted.

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

He bought $200 of extra credits to finish a job; a fan-out workflow drained them while most of its agents never ran

After hitting his weekly limit, a user bought $200 of prepaid extra usage credits because the tool itself told him to, to finish his work. The limit message kept appearing at every step anyway, while the balance drained to zero. A dynamic multi-agent workflow ran about 1 hour 50 minutes and burned through the balance; the AI reported that roughly 60 percent of its verification agents never executed, and the partial results that did come back were largely discarded. The $200 bought an incomplete verification.

$200at stake
This one went wrong. See what happened before you try it.
Show 10 more

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.