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
HobbiesWent wrong

The AI could not set my fantasy hockey draft rankings

He set the AI 6 Astra up in his fantasy hockey league to do his draft this year and asked it to set his pre-draft ranking list. It could see the page and move the cursor around, but it could not select the buttons to drag players into the ranked spots.

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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.

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HobbiesWent wrong

The AI recommended plants for his spider enclosures without checking pesticide treatment; about $60 of plants were unusable

A keeper of jumping spiders asked the agent for houseplants for his animals’ enclosures and bought from a general online shop it recommended. The agent never checked whether the seller treats its plants. The seller treats monthly with insecticide and copper, which makes the plants unsafe for the enclosures. About $60 of plants were unusable, and he lost time arranging a refund.

$60at stake
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HobbiesPartly worked

The AI cut a full music video while he was out of the house

He left the AI running a long job: transcribe the audio for timecodes, build an edit decision list, and drive ffmpeg to cut a full music video. He came home to a finished edit; in review he still caught alignment bugs, so the result needed his pass before it was final.

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

An agent’s hourly self-wake-up loop ran 89 times over 9.5 days on an idle draft pull request and burned $285

After a short session troubleshooting an iOS widget, about $1.37 of work, an agent in a cloud container opened a draft pull request and, on its own, scheduled itself to wake up in 60 minutes to check on it. Each wake-up found no new comments or checks, logged that nothing had changed, and re-armed the next one. It repeated 89 times across 9.5 days with nobody present. Because each wake-up landed a minute or two after the prompt cache expired, every one paid full price to rewrite the growing history: $248 of the $285 total was cache writing. His entire $250 credit balance drained to zero.

$285.12at stake
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WorkPartly worked

He runs AI agents in parallel, and loose runs cost him a night

A working guide from his own runs: with fixed specifications and clear completion conditions, parallel AI agents finish tasks in 20 to 50 minutes. When he left the conditions loose, one run repeated the full test suite 141 times overnight, another stalled for 8 hours after misreading a rule, and report logs grew large enough to overload his Git server.

This only partly worked. Worth knowing before you try it.
Life adminPartly worked

My bot got my Albuquerque parking ticket sent to be voided overnight

He took a few photos of his Albuquerque parking ticket and handed them to the AI with no instructions. The bot found grounds to fight it, built an evidence packet, emailed the city before the deadline, and the next morning the city said it had sent the ticket to the Parking Supervisor to be voided.

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

A realtor with memory loss runs his deals on voice notes and the AI

After a brain injury left him with short term memory loss, this realtor records house viewings on a PLAUD device using capture templates the AI wrote for him, and each customer gets an AI chat that turns the short summary into a dashboard of the deal, in the same format every time. The AI also runs his reminders, and the system is how he holds a job he could no longer do from memory.

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.