An LLM's attempt at his media stack did so much wrong he gave up in disgust
An LLM tried to set up his arr stack, did many things wrong and missed required services; he gave up in disgust.
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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 · 971 ideasThe AI, asked to optimize step B, optimized step E until stopped
The AI asked to optimize and benchmark step B of a pipeline also benchmarked the whole pipeline and optimized step E unasked, until he stopped it.
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Booked a Midtown restaurant for two and synced it to the calendar
In Gizmodo's holiday-travel test, reporter Webb Wright asked the AI to book a Midtown restaurant for two and sync it to his calendar; the booking succeeded but the restaurant exceeded his stated budget — a partial success on a trip-adjacent dining task.
This only partly worked. Worth knowing before you try it.
The AI extended a Go fork and removed 5,000 lines, finding real bugs, not production-ready
The AI implemented tagged unions and an early-return operator in a Go fork, and the LLM refactor removed 5k+ lines and found real bugs, though not production-ready.
This only partly worked. Worth knowing before you try it.
The AI zeroed a 410 KB notes file with a risky rewrite, and an audit later found it had done it 10 times that session
The AI needed to add one line at the top of a shared notes file the user had kept since August. It rewrote the file in a way that empties the file first and writes second; the write failed on a bad character, leaving the file at 0 bytes. The file survived only because an outside backup existed. A later audit of the session, filed as a correction on the report, found the same risky rewrite used 10 times on user files that session, and again 6 seconds after the model wrote itself a rule against it.
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Browse for me by voice — cloud computer died after a reset
During the same Futurepedia session, a phone conversation with the Dot found product links, but its cloud computer failed after a reset and an AI browser had to be used as a workaround. The scheduled-task tab also would not open during the recording.
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The trialled personal agent wrote performance reviews from thin air and a useless launch doc
Trialled the Duet personal agent; it wrote performance reviews from incomplete data without asking, produced a useless product-launch doc, and suggested scheduling a meeting with an email spammer.
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Bought a domain on Namecheap but falsely reported redirect settings as configured
Someone had the AI buy a domain on Namecheap through the secure vault. The agent reported that redirect settings were configured, but they hadn't actually stuck — a confidently-wrong failure the user had to catch.
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Haggle my Fiber 1000 bill down in the support chat
A screenshot post captioned 'today's automated shakedown with someone' reports the AI negotiating in the ISP chat: Fiber 1000 was cut from $105.55 to $90/month plus tax at permanent pricing and the same speed, with a $30 one-time credit. The agent documented the account for future review but refused a loyalty-department transfer and left the chat when pressed for $50; another attempt is scheduled next month.
$15.55a month
This only partly worked. Worth knowing before you try it.
He took weekly meal planning back from the AI after it drifted to wagyu and fugu
He had given the AI the family's likes and dislikes, their supermarket, their time limits and their kitchen kit, and the weekly meal plan still fell apart by Thursday, landing on eight hour smoked wagyu with truffle and fugu sauce and a side of caviar. It hit the macro targets and missed everything that mattered. He does the plan himself again.
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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.