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.
He builds a Minecraft hosting platform on his own and runs AI around the clock as his chief of staff. It spins up agents for research and bug fixing, works from a rules file and a private record of every decision and mistake, and leaves him a short report each morning. Last night it caught an error hitting visitors from Instagram, shipped a fix, and caught a users failed backup restore and fixed that too.
He sketched out how he wanted image collages to lay out and prompted the AI to build a simple tool with sliders for overlap and offset. He used it to make the image stacks for his project, kept improving it, and released Stacks V2 in October 2026 for anyone to try.
A Korean automation instructor sells an AI skill kit for Naver Blog and documents his own test on a real shop: he handed the skill five shop photos and a one-line memo, and it wrote the post, placed photos, a video, a map and tags, and completed a scheduled publication in 3 minutes 20 seconds. With a reservation set, Naver itself posts at the chosen time even with the computer off.
He asked the AI to make a modern version of Rescue Raiders, an old game he loved as a kid, with new graphics, goals and tech trees. The AI went back and forth with critic and art agents until it was done, and the finished game is live for anyone to play.
He forgot to charge the batteries for his road bike's electronic shifting before a ride last week. After a weekend of back and forth with AI, he now has a dashboard that can alert him when things need to be charged.
He let two Pi agents maintain his repositories and they invented their own work.
He pointed the AI at an Internet Archive copy of an old adventure game and got a web version of Neuromancer, then a 3D version.
Dylan Heagy photographed a fridge whiteboard and asked the AI to order the grocery list from Sam's Club. Photo-to-cart grocery ordering: the list never gets retyped, it just gets bought.
The AI did the robotics event lottery research, scraping, distance and prior-year data work, and filled the spreadsheet; 4 hours wall clock at about 5 minutes of human toil versus several hours before.
He runs AI with DeepSeek on his own project. It started by opening issues when it found problems; he has since given it the access to submit pull requests with the fixes, and it now does both.
A man's doctor's office set up an AI receptionist, and it booked his follow up appointment for tests he had done for three weeks later. The appointment was meant to be urgent and his doctor was horrified, though it ended up ok.
He asked the AI to go through all of his saved Instagram videos and create a recipe book from the recipes in them. The AI built him a recipe app holding the recipes. It also tagged the videos that did not have full ingredients or instructions available, so he knows which ones are incomplete.
Agent-built tooling sifted tens of thousands of real estate listings and surfaced the handful that were mispriced, behind two successful property flips.
TechMitra founder Ayush Singhal asked the AI to triage his Gmail thread by thread. It proposed archiving ten promotional emails, correctly found nothing to do on other categories, and unprompted flagged a spam comment on his second website. After his approval it archived nine FYI threads and left two genuine action items.
Cyrus and the AI system routes Telegram and Linear tasks to repos by label and opens PRs for review; he is more hands off across multiple projects.
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.
The AI reads analytics, Search Console and Partner Center twice a week and produces an actions report, plus a weekly strategy review that sets the next week's plan.
Demonstrated live: The AI searched court availability, booked the slot, and put it on the calendar without leaving the AI.
Answering a how are you making money thread, he says a piece of business software he used does one thing and does it badly. With the AI’s help he built a piece of software that does the same thing better, with the features he always wanted. It took a lot of bug testing and had many errors at first, but it was done in two weeks. His version costs him $50 a year in server costs instead of $150 a month, saving about $1,750 a year.
The AI checked a ResMed purchase against the maker's price guarantee three times a day, filed when the price dropped, and secured a $121 refund; a second claim for $81.40 is pending.
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.