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.
TheCleaningChannel's the AI 'Foodie' plans meals around her family's favorite foods and allergies and builds the grocery list in Instacart. The order is left ready for checkout with pickup or delivery options; nothing was purchased in the video.
His mom runs a wedding venue in southern Italy and got 15 to 20 inquiry emails a day, each taking 20 to 30 minutes, which was 70 to 80% of her week. The AI coworker he built now works the inquiries inside her 10 year old booking system, which has no API, and she approves only special quotes. After three weeks the typical inquiry is processed within 5 minutes and the system saves her over 120 hours a month for about $350 a month.
Jared Lee was flying to New Bern, North Carolina, where his father may be dying, when delays at lunch told him he would miss his connection. His rental car was booked for New Bern airport. From the taco restaurant, he asked the AI to change the rental to a Charlotte pickup for the 4.5-hour drive. A couple of text messages later it was done: new rental, new confirmation. He estimates it saved him at least an hour of hold time, spent instead present with his wife.
A team ran an AI pipeline over a usability test of an investment app and saved about half a day of manual analysis. Every claim the AI made about the screen was checked against a video frame, and two claims that did not hold up were left out of the report.
Runs LLMs to audit the math in claimed arXiv solutions for his ranked open-problems list; audits already found six faulty proofs that had caused problems to be wrongly marked resolved.
He gives the agent his ideal customer and one pain point. Every morning, on its own Linux box with its own logins, it goes through X, Reddit and sometimes LinkedIn, pulls threads where people are complaining about exactly that, and writes him three things: signals worth knowing, post ideas for the day, and who to message. He reads, picks, and posts.
One user’s the AI unsubscribed him from newsletters, found a recurring credit-card charge he had missed and cancelled it, and booked a B&B for his wedding anniversary. Three different errands, one agent, all completed.
Internal multi-subagent code review tool he built has run for half a year and finds serious issues including privacy leaks that humans and open-weight models miss.
The AI in the car, with Gmail and Home Assistant connectors, calculated car charging from home power metrics and calendar, and operated the garage door, lights and air conditioners from the car.
Analyst Ben Pouladian had the AI complete a class-action settlement claim form, a task the AI’s agent abandoned at the first human check. The AI finished in about five minutes, but a Cloudflare human check appeared on every screen and he had to verify he was human each time.
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.