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.
When a person fixes something one of his bots wrote, the bot writes down what it said and what the person changed it to. A nightly task reads those changes and writes the rule it thinks they point to, and in a year the bots have picked up more than 40 rules this way.
The maker of a small game viewer tool had the AI play the game with scripted commands and write playtest reports. One report, from a manifest file the game loaded, documented a crash on exit, a bad default window size, dead inputs, and several rendering bugs.
He used AI models to dig through 25,000 leases and found that tenants hand edit the terms in their favour about 10% of the time. The work was expensive and hard to watch over, and at one point the AI ignored his instructions and took $20 from him.
OpenAI's launch post reports that an early tester's Dot noticed he had forgotten to invoice a publication, prepared the invoice itself, and sent it after his approval. No amount or publication is named.
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.
He pasted one prompt into AI, and the AI read the Carly email setup docs itself, finished the signup, and took the verification code. The inbox, named Loopy, now takes tasks by email and asks before replying to anyone outside.
The AI modernized a 22-year-old legacy system, updating dependencies, auditing security and adding features, raising test coverage from about 65 percent to about 80 percent.
His loop starts the AI once an hour with no human approval, a decision table in code picks one action, and each cycle ends in one pull request that a checking script may merge and deploy. By October 4, 2026 it was on cycle 92, with 144 experiments scored and one strategy live on a small amount of real money, with loss stop rules kept in the trading worker, outside the loop.
He sends his RingConn 3 wearable data to his AI email address. It sends back a dashboard and tips to improve his health.
While Julius was at the gym, his AI negotiated his Verizon bill from $296.71 to $246.77 a month. The $49.94 monthly cut totals $299.64 over the 6-month term.
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.