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.
While training on his Wattbike, he wondered if the AI Fable could crack the workout file format. It reverse engineered the format in under 10 minutes, and half an hour later there was a Python and JavaScript library plus a static viewer app.
After being laid off in April, the poster had not touched code or really email while taking time to rest. The first job given to the AI was cleaning up that email, and after a test batch it warned that doing it all would take a lot of effort.
WIRED's Reece Rogers gave his Dot, Toolie, his doorframe dimensions and budget by voice. Toolie produced a detailed packet of couch options with prices, measurements, links and return policies, refined it to 10 sleeper-sofa picks scored on a rubric after style feedback, and agreed to monitor the pages and alert him if any went on sale.
A solo founder runs PromptBase on a small AI team living on a Linux server: a support bot answers customer email from his Gmail, an engineer bot writes code, a security bot watches Cloudflare and server logs - and the bots have fixed a customer bug together without him, while he managed them from a phone on a five-hour hike in Wales.
Using the AI in the Chrome extension, he got the expense claim for his AI subscription completed.
He is a general contractor who could not find software that fit. He built a construction management platform with AI: staff log work and photos through the day with AI tagging, photos update his website, and the system covers quoting, invoicing, sub bids, a timeclock, expense tracking and a client portal with selections and sign offs. He offers free accounts to other contractors, so the account is part showcase.
Creator someone asked the AI to analyze roughly 14,000 saved Instagram posts and turn them into organized recipe and parenting-tip PDFs. Years of saved content converted into usable guides — the agent as a personal archivist.
Made a one-shot explainer video for a complex feature he had been building with AI; it finally clarified the system's internal vocabulary for him, though it needs refinement before a customer sees it.
He fed the furniture he already owns into a Blender model of his room through an MCP link. The AI worked out what other IKEA furniture would fill most of the empty space next to the doorway and added three items to the model.
Gave the AI kubectl access and it chased down a sneaky shutdown performance bug in 10 minutes, producing a spot-on diagnosis sent to developers.
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.