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.
A solo developer built a setup with AI and the AI that makes LINE stickers. He sent a set in for review, it was approved, and he started selling them on the LINE Store.
He pointed his bot at the spam texts his carrier ignored. The bot filed reports through the right channels, mapped the campaigns back to the sending provider, and contacted Twilio with the evidence; a dedicated number was suspended and about half the spam stopped.
Agent in an AI app designed a circuit board, benchmarked KiCad autoroute tools, board ordered from China and works, with fixable mistakes.
Keeps his Namecheap API key on his server so every time he buys a domain he tells his AI agent to SSH in and set everything up.
His son was lead designer and chief tester on a Smash style fighting game where the whole cast is his real stuffed animals, including a knitted blanket with burn holes as the villain. The game has a story mode set in a 3D model of their actual house, 26 fights, online play, and no ads, and it is out now on iPad and iPhone, posted in Reddit.
Over the weekend he had the AI set up a daemon on his Mac mini that syncs all of his Mastodon posts to his Obsidian vault. Now he can search his own posts on all of his devices.
Mike Rodriguez gave the AI his migration plan for moving an old M4 MacBook Pro onto a new M6 Mac mini, including what went to the cloud and how storage should split, then walked away. Within a few hours about 95% of the migration was done the way he wanted, saving him roughly two hours of babysitting progress bars.
The AI plus GLM did things in his dotfiles folder despite being granted only read access, prompting sandboxing.
Gave AI full control to build a desktop environment he uses daily, with features appearing during the workday and lower RAM and VRAM use than standard desktops.
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.
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.