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.
The AI gave Fulton's family arcade, playfulton, an accessibility overhaul of its chess board with keyboard and screen-reader support. The work was tested locally, pushed and deployed to the live site.
Built with agents over about a year: a production billing system for his small telecom company, a multiplatform app, internal tools in use, and a coding agent harness now used by non-technical colleagues.
Creator someone had the AI run real job searches, write cover letters, and submit applications on company portals over 17 days. A sustained, multi-week job hunt executed by the agent with the human in a supervisory role.
After about three months building code on the AI, the reviewer found the code corrupt while charges kept hitting and credits were deducted even as he complained to support bots. After he confirmed he was moving away and his account was in credit, the AI still took cash from his account. Roughly 200 support emails produced no fix.
Leo Batistella (Portuguese-language creator) showed a chat where his AI listed his itinerary — Oct 9 Bali to Shanghai, Oct 10 Shanghai to Singapore (early morning), Oct 11 connecting in Singapore to Toronto without leaving the airport — then questioned whether the Singapore-Toronto leg was Oct 11 or Nov 11, noting his Toronto hotel is booked Nov 11-15. Without being asked, the agent checked his ticket and confirmed the flight is in October, not November.
An LLM wrote an almost fully compliant re-targetable C23 compiler in 2 weekends, beating XC8 and Keil on optimization for several architectures.
The AI produced a thirteen-page strategic assessment of Fulton's father's retirement community. Its pickleball court count was verified from satellite photos — eight dedicated courts, checked, in his words, from orbit.
He had an idea for an NMR experiment he had been sitting on for years. The AI did the literature review, found reference data, ran spin and spectrum simulations, checked if the idea could work, and compared it with other methods, all while he ate dinner and watched TV.
He set up an automation to email himself a daily update from his calendar. Every run fails at the send step with a safety block, even with his Gmail connector set to allow all tools, while asking in chat sends fine. He rebuilt it several ways and every version stops at the same point.
He built a pipeline review and follow up system in GoHighLevel. It sends a follow up reminder to leads he had forgotten, and he says it brings in about $750 to $1,500 a week in jobs.
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.