Shuffle again

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Went wrong

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

Find and buy me a USB-A to micro-B cable

Bryan gave the AI a basic errand: find a USB-A to USB micro Type B cable. Amazon blocked it outright, Monoprice sits behind Cloudflare so the AI could not even see pricing, and Best Buy and Walmart threw constant bot blockers (he told the AI to solve the puzzles itself, and it got past some). Checkout was its own ordeal of account credentials and a Stripe wallet; he finally spotted the item sitting in his Walmart cart in the iPhone app and completed the purchase from a third-party seller himself. His verdict: kind of terrible at basic finding and buying.

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HobbiesPartly worked

He used AI on NASA data and found a planet candidate nobody had reported

Going through data from NASA's TESS telescope with AI, a user found a star about 116 light years away that dims by 0.05 percent every 3.18 days for about two hours, the same dip in 2018, 2020 and 2025 data. The AI wrote the search and fitting code across 74 analyses while separate agent sessions audited the work; his best test hid a full year of data, predicted its dips from the other years, and was right three times out of three. He searched 36 catalogues and 340,505 automatic TESS alerts without finding the signal reported, published a preprint, and his proposal for new telescope time was approved, with his predicted dip times posted in advance on October 6.

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

Loaded an Instacart cart for J. Kenji López-Alt's no-stir risotto recipe

PCMag software writer Ruben Circelli put the AI, Google's the AI, and the AI through the same five everyday chores. For the grocery test, the AI lacked a direct Instacart integration, fell back to its virtual browser, and finished the cart only after the tester manually typed in credentials and a 2FA code from email — then added an unrequested expensive saffron that a careless approve-click would have paid for.

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.

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WorkWent wrong

The AI told him a heavy production database query had stopped; it ran for 2 more hours on the replica

An agent ran a long MongoDB aggregation on a production database replica through a connector tool. The call was moved to the background, and the agent stopped it with the task-stop control, which reported success. The agent told the user the query had been stopped. Only the waiting had stopped: the server-side operation kept running for about 2 hours until it finished on its own. Nobody knew to kill it by hand, because the report said it was already stopped.

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HobbiesPartly worked

Whisper and an LLM rebuilt a 1973 lecture blackboard from tape audio

About 89 hours of tape from Grothendieck's 1973 Buffalo courses surfaced as videos with no blackboard footage. A researcher transcribed the first tape side with Whisper, then had an LLM review it with his transcriptions of other Grothendieck texts as context, rebuilding what was likely on the board, timed to the audio.

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

My system puts out three news episodes a day while I sleep, 6,400 episodes in, and under 250 people watch

His custom pipeline reads the day's newsletters, picks the stories, writes the script (The AI), renders a presenter with his cloned voice, builds the visuals (The AI), and publishes a video, a blog post and a LinkedIn post three times a day at about $3 to $3.50 an episode. Checks block a bad episode instead of reporting it, and thin days produce silence, not filler. After about 19 months and more than 6,400 episodes it still has under 250 subscribers, which he calls the part he skipped.

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

An automatic coding pipeline merged 67 pull requests in two weeks, then he shut it down

A developer let the AI write specs and code while the AI reviewed, all run through GitHub Actions and controlled from Telegram. Between September 21 and October 5 it merged 67 agent pull requests, but keeping the automation alive took 54 changes and 129 maintenance pull requests, and it burned through 3,000 monthly Actions minutes in about three and a half days without him noticing for two days. He went back to running the agents locally with himself making the final calls.

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

Concur AI booked my flight with my birth date wrong

Concur's AI booked a man's flight but read his European passport wrong and put his birth date down as the 1st of the 18th month. The flight ended up booked with the wrong birth date.

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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.