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.
Josh Pigford started FirstIndex, a service that gets companies found on Google and in an AI app answers, at $1,000 a month. Within a month it was at about $570,000 a year in recurring revenue with about 30 clients, and the AI does most of the delivery work.
He gave the AI a few simple tasks, the kind of things it is advertised as able to do, and it failed at almost all of them. It ended up costing him much more time than it would have saved.
He runs a website business where the AI has SSH access to each site on his own servers, with about 15 skills that each act like a staff role covering revenue, content, images, rules and checks, plus APIs for revenue sources, Google Search Console and Bing Webmaster Tools. Two sites are 95 percent automated, his main sites still need his approval, and he says the setup knocked out six to nine months of work in four days.
Jolenesugarbaker told the AI the measurements of her space — it found bookshelves that fit and ordered them from Home Depot, arriving the same day. Walmart and Amazon blocked the searches and lost the sale.
He used Fable to rewrite 65kLoC of Go in Rust at a cost of $400.
His AI runs on a server with Ollama as the backend, so his data stays private. It keeps his todos in a simple text file, sends him reminders about upcoming due dates, and gives him an overview when he asks in a Telegram chat.
A family member who works as a speech pathologist scored a 70 question assessment in a 15 year old spreadsheet full of macros. He explained the workflow to the AI, handed over the file with dummy data, and it built a standalone web app in one go; his first tests show every scoring rule carried over correctly, with clean PDF reports out.
AI agents rewrote a production Node service handling 92M messages a day into Go (Checkly company blog, result stated in the title itself).
His 15 year old dryer broke on Saturday. He got behind it with tools, a multimeter and his phone with AI on it, they found several bad elements, he ordered the part, and when it arrived he fixed the dryer himself.
Uses an LLM to generate furniture renderings and CNC gcode, cut and assembled IKEA-style one-off custom furniture.
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.