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.
Consultants at the same co-op connect the AI to their calendar, GitHub and ticket tool. The AI works out how their time split across projects, fills in the timesheet day by day with a reason for each day, and each person checks it and approves it before it is saved in Salesforce.
The same AI setup watches a man's work train travel and sends him updates on delays and platform changes. When his train is delayed, it applies for the delay compensation by itself, with no claim form work from him.
Got the AI to implement TPAP compatibility in Swift purely by interacting with his local plugs and response shapes plus RFC 9383, figuring out it was SPAKE2+ and the password hashing steps.
Her AI produced a 'Starter Week - Cardio & Stamina' plan (Sat Sep 26 - Sat Oct 3, 2026): three cardio and three Pilates mornings, no equipment, 15 minutes, beginner level; the reel shows her morning briefing and the workouts done at home.
Two e-bikes were stolen after his garage was left open by accident. He set up closing on its own when the door stays open for 15 minutes, and in his own reply on the thread he says he bought a ratgdo control board and the AI wrote and installed the new firmware, so the AI now has full control of the opener and can disable the remotes.
A voice agent called 12 venues for his event of about 50 people and asked each one the same three questions. The AI then formatted the answers into a comparison table, which saved him an afternoon of phone calls.
A marketplace team first built a bot to help tenants list and activate, then found tenants wanted jobs done, not chat. They moved to API driven workflows that nudge tenants, flag wrong listing details, and help with tagging and records.
He wanted to see if AI could build a real production website end to end without him writing any code. The AI wrote all of the new Umbraco Kent Meetup site, built headless on Umbraco 17 and Astro and hosted on Azure for less than a Cloud starter plan.
Points-and-miles creator Rachel Tyers says her AI caught a flight booking error that could have wrecked her week, flagging it before she noticed. The bot drafted the fix for her approval; the caption never says what the booking error actually was.
To mark the start of the semester, he asked the AI to build a macOS widget. It counts down how many weeks are left until the last class, and how many of those weeks are real teaching weeks.
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.