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.
Vo asked the AI to buy IMAX tickets for 'The Odyssey' in Daly City during daytime hours when she has a nanny. The AI found showtimes, navigated the Cinemark site's guest checkout, and reached the payment screen using a Stripe Link virtual card.
A machine-learning user built a bridge ('wand') letting his AI act on his Mac remotely from his phone. The AI reads his Terminal, reports training-run stats like epoch, loss, and accuracy, and can lock the machine on request.
With the help of the AI, ported the current dev branch of Qt6 back to Windows XP with working OpenGL.
He asked the AI to screen his unread Instagram threads one morning. It came back with 50 unread, looked at the threads he named across his Primary, General and request folders, and told him what people had sent. The unread count was still 50 afterward, so nothing showed as read for him or for the senders.
Analyzer agents audited and trimmed skill files, cutting about 18 percent then about 600 more lines, and extracting bash into scripts turned up bugs.
A man told Android the AI to add etouffe to his shopping list. The AI added the word toothache to the list instead.
A man built a service so his own agents can send physical mail. He has used it to submit credit card disputes, credit bureau disputes and a gym cancellation, the letters people put off because they mean printing, envelopes and a post office trip.
Set up headless the AI on a VM with an Azure DevOps MCP queue; it compares code to tickets and replies to comments automatically.
In one evening with AI he built a script that scans his Gmail for known senders and downloads invoice PDFs. If a supplier sent no PDF, it saves the email itself as a PDF, puts everything together for the office, and logs what it downloaded and sent so nothing goes twice.
She told her AI to get better at design, then had it check her own site, aunysillyme.com. It found every buy button was too low in contrast to grab attention and that two different oranges had been used on the site for months, and it redesigned the site based on what it had learned.
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.