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.
A man who runs his own services at home sent his AI an article about a PHP security hole. The agent patched the services that had a fix, stopped the ones that did not, set up a watch for new fixes, and updated and restarted nearly everything as fixes landed through the day.
Fanko had the AI research trending topics on Twitter/X; the video presents it as a completed, successful research task alongside the account-signup and price-comparison tests.
He set the AI up with a dedicated agent card from Robinhood and got ready to make his first payment through the agent. The payment was blocked.
Broke copy protection with GPT 5.6 and has a forked Hatari that boots and runs Notator and Creator by emulating the dongle.
Gaby Hersham built a nightly automation in which the AI reads the roughly 20 school emails her family gets each week and adds the important dates to the family calendar, ending the manual trawl through newsletters and PDFs.
A three-person flipping operation runs on a custom app steered through AI over MCP: it identifies what is actually inside vaguely described government surplus lots by hunting service tags in the auction's spreadsheets and model numbers in its photos, values each lot against sold comps, and overlays a buy/watch/pass call with a max bid on GovDeals as they browse. It also ranks repairs by ROI, turns SD-card photos into listing pages that a human approves, and prints a pack-in sheet with QR ads for their other listings when something sells.
A value investor had the AI recreate the spreadsheet he built by hand last year covering every warrant on the NYSE and Nasdaq. The AI looked up strike prices and redemption prices, wrote short company descriptions, and added Google Finance formulas for live prices. It took about 30 minutes of the AI time and 10 minutes of his.
She asked the AI to erase her digital footprint. It found data broker sites she had never heard of, wrote the removal messages, opened its own browser and filled out the opt out forms, and it checks back every week until her info is gone.
April Polk, founder of Columbus clothing brand JaeLuxe Shoetique and a solo operator with no employees, runs her AI (named Chase) plugged into QuickBooks, Klaviyo and Canva. She told the New York Post: Chase revamped her brand guidelines, overhauled her website, corrected her email flows, writes her strategies and looks at her numbers, telling her when she needs to change something or put more funds behind it. Polk was one of 35 owners Meta invited to test the product pre-launch.
His wife works for an airline, so he flies standby through an employee perks app that normal flight apps do not cover. He has the AI track every change. This weekend the AI caught his original flight at Y0, meaning no spare seat, so he switched flights and still made it to Vancouver. The AI checks more often as departure gets closer and only tells him when something changes, and it sends his wife short Messenger updates on his chances of getting on. His tally for the weekend: 2 flights boarded, 1 full flight avoided, 1 gate change caught, no app refreshing from him.
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.