A random mix from the whole library. Shuffle for a new set.
His OpenAI dot, DotBot, is sailing his boat in MarineVerse Globe on its own. It has cleared Port Phillip Heads and Cape Liptrap, choosing the course and checking the weather while he is away, with Sydney next.
Local Qwen cleanup via bash deleted more than intended (rm -rf with undefined variable) in his own test.
He is a photographer who found typing alt text for every photo slow going. He built a small agent on his own n8n server: he sends a photo through an Apple shortcut, the agent reads the picture with a local Qwen model, adds the camera data, and saves the finished alt text in an Obsidian note, ten photos at a time.
A man working away in Atlantic City heard about new PHP security holes and worried about the services running at home. Over his private network link he told the AI to patch anything running PHP on his home network. Ten minutes later everything at home was patched.
He plans his Bluesky posts in a self-hosted Postiz and has connected it to the AI through MCP. He can ask the AI to list the queue and add new drafts, and he approves the drafts himself.
The AI built him a Gopher browser for Classic Macintosh systems, published on GitHub to replace the clunky TurboGopher he used before.
Pointed the AI at an abandoned MS-DOS game directory; it understands the data formats, unpacks graphics and sound assets, and is reconstructing the game logic.
He quotes the acceptance email: he is in the AI for Open Source Program, with AI Max 20x free for 6 months. The application itself was sent by OpenAI's Dots on his behalf.
Shawna, a busy mom of three (13K), asked her agent 'Miss the AI' for easy dinner ideas for the week. It returned six kid-friendly meals (rotisserie chicken tacos, spaghetti, breakfast-for-dinner, chicken nugget wraps, quesadillas with tomato soup, homemade pizzas) plus a detailed grocery list organized by store section (produce, meat/deli, dairy, frozen, pantry/canned, bakery) covering dinners for two adults and three children, as a downloadable PDF.
A Magic player built a collection manager with AI and needed every card sorted by what it does in a deck, not by the words on it. The AI ran his whole collection, 2,527 different cards, through a classifier that gave each card a fit score for 61 roles like ramp and card advantage. It took minutes and cost about 22 cents, and the AI wrote the method into a reusable skill for next time.
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.