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.
UFC fighter Justin Gaethje (verified, 3.7M followers) introduced his AI 'Highlight' for his training, travel, and business schedule. A notification reminded him of a Phoenix flight; he asked for tee times and the app showed options (Legacy, Aquila, Raven, Encanto) — he booked Raven Golf Club at 1:30 PM.
During the mid-August Massachusetts tax holiday, the reviewer made 2 Best Buy purchases via the American Airlines mileage shopping portal and did not get the miles. He asked the AI to file missing mileage claims, access the receipt data from Gmail, and save a PDF of the Best Buy email receipts to Google Drive.
He connects an AI to his posting app with one key. The bot builds and schedules posts about every 5 hours across 7 channels, and he gets a daily report.
During a week-long, move-in agent test, the journalist's the AI (Mark) logged into her Facebook, scoured Marketplace for couches, lamps and rugs, drafted and sent seller messages with her approval, and managed the replies. The hunt ended with a real purchase: an AI-sourced dining table.
A third anecdote in Simmons's roundup describes a Dot that kept emailing a hotel for two days, then found the general manager's name and emailed them directly. The eventual outcome of the escalation is not stated.
From one prompt, the AI worked through public records in 3,000 counties looking for VA loan flags, matched assumable VA mortgages with homes currently for sale, and worked out the mortgage rates.
A legal librarian at a law firm had to check ten references for a Belgian lawyer working on warranty of liabilities cases. Three references had errors, one of them serious, and the AI Pro with skills and Google AI Overviews found the right reference in a badly protected PDF on revue-banque.fr where another tool pointed to the wrong one, and one more error was fixed using the next year's index of decisions.
Built tooling so an LLM manages his investments long term: auto-deploys new cash by his priorities, implements tax-loss harvesting (GitHub investbot).
The AI helps him put GA4 and Microsoft Clarity tags live, with reviews and confirmations built in so he can check the event triggers fire. Cross checking the two tools showed bots being lumped into direct traffic.
The AI filled out his car insurance application for him. Where an answer was not in what it knew, it stopped and asked him instead of guessing.
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.