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.
Creator asked the AI for a whole-food crockpot meal plan focused on protein and high fiber. It generated a one-trip grocery list organized by category, a 7-day plan (Chicken Taco Chili, Turkey White Bean Kale Soup, Beef Lentil Stew, Salsa Verde Chicken Quinoa Bowls), and compiled it into a printable PDF for the fridge.
12 hours with AI Fable 5.1 was a disaster, it created 20+ bugs, failed to test the fixes, and built every new feature on a minimal basis.
She uploaded the first 10 images by hand, adding each prompt as alt text. Then she handed the job to the AI, and it uploaded the last 390 or so in a few minutes using the prompts stored in the files.
He wanted one place where people can find all the apps he is working on. The AI built the site, beardfm.app, in about 15 minutes.
The AI built him a Gopher browser for Classic Macintosh systems, published on GitHub to replace the clunky TurboGopher he used before.
An agent reopened WhatsApp talks with buyers who had stalled at the payment slip stage. Buyers who talked with the AI converted at 8.36 percent against 0.17 percent for those who did not.
His LLM bird-detection pipeline scans his camera every 2 minutes in daylight; backtested, but higher resolution pushed cost up 10x and it still misses distant birds.
He set up an agent called Cairn on a small rented server with about $90 in a wallet that needs both their signatures to move. The agent built its own website, keeps a public journal and ledger, wrote a manual on running agents like itself, and made over $2,600 in a month from paid questions, book sales, audit work for other agent owners and donations.
He had the AI add all the special days from the Pittsburgh Public Schools calendar into the family calendar. It was a win, but the school calendar itself had errors, and he spent 30 minutes working out which day was wrong.
His team of AI agents, building a biotech-investor decision-support app, turns the agent chat history into a scripted ElevenLabs-voiced podcast episode after each unit of work so he can follow progress by listening; he caught the team planning a roughly $730 API test run instead of using his AI plan and stopped it.
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.