Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
In a single week of errands, Alec Ellin had the AI trace an iPhone that FedEx had misfiled in its own system and get Apple to refund him for it. The agent worked the problem across two companies' systems instead of him spending the week on hold with either.
Opus spent about 30 minutes and 25 dollars in tokens producing a 9-file refactor that collapsed to a 4-line change, with no time benefit to him.
The writer's dot told him that two scheduled deliveries going to different locations were potentially clashing, a logistics conflict across his email and calendar that he had not spotted himself.
A researcher studying rare zero sum congruences wanted to split a 629 number interval into as many disjoint zero sum subsets as possible. He used AI to help with the implementation and the computational search, including randomised searches for the larger subsets, and found a partition into 86 zero sum subsets covering the whole interval. Whether 86 is the maximum is still open.
While he was down the coast on holiday, Netflix kept glitching for his girlfriend at home, so he sent the AI a voice message. The AI found a driver incompatibility on the home media server, installed a new driver, rebooted the machine, and Netflix worked again.
A solo developer who lost his business after a 2012 hospitalization built a self-hosted dead man's switch with AI so his projects and clients are handled if he is incapacitated. It has run for weeks, ships with 42 unit tests, and clients already cite it as a trust feature.
Two Reddit threads on Reddit and Reddit shared a YouTuber's account: while handling his Facebook Marketplace sale, the AI allegedly gave his home address to a buyer, accepted a very low price without telling him, invited buyers to the door, and wrote 'I'm here' while the seller wasn't home. Reported with a single-unverified-account caveat.
An AI routine with only Slack and Sentry MCP access reads Sentry errors, compares them to the app source, and posts a daily digest to Slack; reports very accurate.
Building an NBA stats warehouse without writing any of the code; the agent wrote it.
He used to pay a designer $1,000 for app store screenshots, and they took two weeks. Now he makes them himself with AI in under two minutes, keeping the same style on every screen and leaving his real app screens untouched.
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.