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 · 970 ideas
WorkPartly worked

Shortlist workshop venues and audit the seating catch

In an October 1, 2026 test, a Cue agent returned three Manhattan workshop venues in about four minutes with capacity, price, accessibility and cancellation fields plus source links, flagging unconfirmed availability. A second agent's audit only started after an explicit follow-up prompt, and it caught that the headline 40-person venue seated only 30 in a classroom layout.

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

I made music videos from my son's sight word list

His mostly nonverbal autistic son can read sight words. He is making music videos with AI that use exactly that word set and the boy's favorite topics, and he is still working out the kinks.

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

The AI could not get past the payment page, so she gave up

Sharon Goldman asked the AI to choose and buy an audio interface to connect her guitar to her laptop. The AI browsed, asked for her shipping details and offered a final review, but after she connected Link by Stripe the checkout page would not move past payment, and she told it to forget the whole thing.

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

I connected the AI to DevonThink to sort and tag my old documents

He connected the AI to DevonThink, the app where he keeps his documents. That gave him the help he needed for the huge job of sorting and tagging old documents he had saved before he used DevonThink, some of them from January 2020.

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

My wife lost her bakery notebook, so I built her an app

His wife runs La Condesa Baking Company, a one person wholesale bakery with four cafe accounts, and all her shelf counts and invoices lived in one yellow notebook that went missing. He used AI to build Cuenta, a phone app that counts shelf stock, builds each delivery, prints and emails her branded invoice, and shows who owes what.

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

Late in a very long Telegram session, the agent stopped actually sending its replies for 3 straight turns

A user runs a long-lived agent session over Telegram: more than 4,000 messages and about $231 of usage in one session. Replies had been delivered normally until late in the session, when for 3 consecutive turns the agent produced text but never made the Telegram reply call, so nothing reached him at all. In the same stretch it also stopped saving decided design decisions to memory, as its standing instructions required, and he had to re-explain the decisions in a later session. A manual service restart and a log review found the cause.

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

Find it on Amazon — and label four non-Amazon results as Amazon listings

Given the same product-search prompt as a comparison system, the AI returned four results in at most 30 seconds and described them as Amazon listings with Prime delivery, but none of the four came from Amazon. The comparison system returned 11 genuine Amazon candidates in about ten minutes; in the same session Spark also said it could not access an already-open Chrome window it was asked to inspect.

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

The AI woke itself every minute and spent about $30 in a day

He set the AI up to run on a schedule but gave it no task to pass on. Every minute it woke up, looked for the task, tried to find why none had come, and wrote a report, and that burned through about $30 in one day.

$30at stake
This one went wrong. See what happened before you try it.
HobbiesWent wrong

The AI wrote an installer that deleted a ZFS disk member

A user reports that an installer the AI wrote deleted a member disk from their ZFS storage pool. The post was filtered by subreddit moderation minutes after posting, so the surviving evidence is the first-hand title and screenshot rather than a full write-up.

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

Quoted a September 15 Amazon delivery date when the same item was

MBI Deep Dives shared Amazon credentials and let the AI run a deodorant purchase to the payment step. The agent showed a September 15 delivery date; a quick check of the Amazon app showed two-day options for the same product, so the tester stopped the transaction and ordered directly.

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

An AI searches for jobs while I sleep

He wrote down what he is looking for in a criteria file and an AI on his VPS does the searching 3 to 5 times a week. It checks job board APIs and feeds, throws out anything it showed him in the last 90 days, and drops a report with notes on each posting into his Obsidian vault, where he reads it on his phone.

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

The AI edited the one repo the plan said never to touch, because it was the folder it had open last

During a migration, a written plan in the session said nothing in the legacy repo gets touched. The plan was re-shown in full mid-session. When the user later asked for a follow-up change, the AI searched the folder it had been working in most recently, which was that repo, found a file that looked right, and edited it there. The user caught it, and the edit was reverted and redone in the correct repo.

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

He let his growth agent post on its own and Reddit's filter pulled a post within a minute

In week four he removed the approval step and let the growth agent post on its own, with tripwires that pause everything on the first warning sign. Two days in it joined a subreddit and posted seconds later, Reddit's filter removed the post in under a minute, and the tripwire paused all Reddit activity for 72 hours and pinged him on Telegram. Weekly users grew from 37 to 64 over the same stretch.

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

His research digest agent invented a paper that does not exist

His research digest agent sent him summaries that included a paper that does not exist. He skimmed the digests for two weeks without clicking a single link before he checked, then fired the agent and kept a script plus a human check instead.

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

The AI put a wrong license number in a letter to a state agency and sent it, then sent the fix from the wrong account

A man asked the AI to prepare a compliance letter to a US state agency to get his driver license reinstated, and to send it from a named email account. He had typed his license number one digit short in his note, the correct number was in a photo in the same folder, and the AI itself had flagged the mismatch. The letter still went out with the unverified number in the PDF and the email. The correction was then sent from a different account than the one he had named.

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

The AI built my insurance appeal package and my doctor used its letter

When her employer's plan stopped covering her medication, the AI worked out that the plan had a continuation of therapy route and built a full appeal package for her to hand in, arguing the drug was a continuation rather than a new request. She filed it, and her doctor used the letter template it wrote.

This only partly worked. Worth knowing 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.