A random mix from the whole library. Shuffle for a new set.
He likes Goodreads but people without an account cannot see his books there. He told the AI about it, and the AI created a WordPress plugin and made a books page on his own site, thatsportsgamer.com/books/, that shows his books using the Goodreads RSS feed.
A researcher used AI and the AI Fable 5.1 to search for examples, write and run verification code, develop and check the proofs, and draft the paper for a triangulation problem. The result settles the value at 5 for every n from 9 up, with coordinates and edge lists published in a repository. He checked the argument himself; the paper is not yet refereed.
A Japanese learner who had used jisho.org for years hit a word its handwriting search could not match. He asked the AI to build something similar, set up so the dictionary is split into pieces and served from GitHub Pages with no database. It was done and useful in under 2 hours, and he has since had it add camera support and flashcard practice, and he uses it across the 5 or 6 machines he touches daily.
Dan spent ten years building a tactics card game. He fed the rulebook to the AI and now it is a free to play app at Mercenarium.com, where people can play against bots or invite friends.
He used AI to move his hosting service. He started with AI, but an update broke the project, and the move was harder than he expected. With the AI's help he got through it, with a little left to finish.
His second attempt at building software by voice with an agent produced Feather, a working Nostr client. He had to talk it out of adding an app store, a login page, and a settings menu it kept trying to build, and he paid about 3,000 sats in lightning tips to people who reviewed the code.
Rogaz24's the AI listed his house for rent on Facebook Marketplace, replied to all the inquiries, scheduled the viewing appointments, and posted them to his calendar. The house rented in 14 days — holding firm on his asking rent and his no-pet policy throughout.
Some of his items would not work in Apple Passwords, so he had the AI write scripts, using the 1Password CLI and AppleScript, that imported those items into Notes for him. Because the scripts were deterministic, he does not think his sensitive data was shared.
Someone had the AI build a trade-alpha dashboard from his trade confirmation emails and benchmark the results against SPY. The agent turned scattered confirmations into a performance benchmark.
His Nostr relay moved from a single container to a Kubernetes cluster, redeployed by the AI with an uptime monitoring setup watching it. He reports the relay is faster and the migration went smoothly.
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.