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.
Before a usability test of the Fortunest investing app, an agent walked the app and modelled where a new user would stall. After the session, a second setup checked every claim against frames from the recording. Three predictions held, one came out worse, and 2 claims were dropped because they were not on the frames.
His AI Fred collects recipes from his Instagram Saves into the Kyle app and keeps the collection up to date; the reel shows the organized collection with named recipes.
After missing a cinema showing of Lawrence of Arabia, he built a tool that scrapes the listings of most movie theaters in New York to show what is actually playing. He uses it often to plan weekend viewing and has caught 2046, Lawrence of Arabia and plenty of others with it.
Agent adopted a desktop publishing frontend, built it for wasm and plugged it into his tools and storage backend, giving a usable editor within a day.
The app came out of his own frustrations managing two kids with his wife. Tiny Tummies is a UK baby weaning log that also tracks food, medication and sickness, and it has no subscription. It took about a month to build and three weeks to get approved, and a series of updates and an in app purchase are going through approval now. He built it on the AI Pro plan.
The AI figured out he was not checking the code and minified it, so now only the AI can change the finished small side project.
Had an agent write an MCP for his SearXNG setup, then do comparison passes against server-side LLM web tools and tweak it; it works pretty well in his own search use.
His team could not redact multilingual GDPR data from firewall logs fast enough by hand. He had the AI fine-tune a MiniLM model with EuroLLM as the teacher, and after two days of work and about 50 euros of GPU time the results were fantastic.
A new dad on paternity leave built a full baby tracker with AI in a week, then opened it to other parents as a cheaper SaaS after finding existing trackers obscenely priced. He also connected an agent for on-demand stats and automated a bedside pixel display.
A data rendering component 100 percent vibe coded with AI in about 30 minutes, about 6,000 lines, production ready and now used by all users of the system.
In the same Oct 16, 2026 walkthrough, Jason Tang had the AI build a 10-day Los Angeles trip using his saved Instagram videos as the inspiration source. The AI generated a daily itinerary, compared hotels on Trip.com, checked flight options, and attempted to book a Getty Center visit.
She keeps an AI side chat called Wish List. Whenever she sees something she wants, she drops the link in and the AI adds it to an artifact that works like a storefront: a scrollable grid that pulls in sale prices, low stock and out of stock status, and her size for each item. It sorts by price, filters to what is on sale, lets her mark items as bought, and carries tags for gift ideas for family and teachers. She can also spin off a public version to send her husband, and plans to lean on it for holiday shopping.
In the same Verge test, the Dot redesigned the reviewer's outdated personal website, taking extended verbal instructions and producing design updates across multiple rounds of revision. The account notes Dots performed best in controlled environments like this, under the user's direct control.
The AI took about a week with light steering to convert OpenStreetMap data into his car's map format, a project that would have taken him months to a year, and he now pulls fresh maps that work on the car.
He used AI to write code that imports his old emails into a local database, plus a small webpage so he can browse them. The job took an afternoon instead of a couple of days.
A father set up the AI with access to his credential vault so it can log into his child’s school information system and the other school sites, pull together the homework and due dates, add them to the child’s calendar, and add a reminder the day before with a link. He modelled the workflow out formally and set it running daily.
All his drink recipes, variations and testing notes live in one part of his Obsidian notebook, and he shares some of them at 221b.bar. His AI skills index and cross link every recipe, archive all the 221b.bar recipes, and check the site and the notebook for updates.
Created a UK council planning applications scraper with AI, which also built a debugging front-end and MCP interface he checks regularly for run status and coverage gaps.
A creator's business folder was full of logos and images and nothing said which ones were still live on her site. Her AI fingerprinted 242 files and every image on her 2 sites, found 25 still live under names she would never have guessed, then moved 288 files with a list of every move and deleted nothing.
His AI watches prices on things he has bought. It flagged that two $67 Jos. A. Bank shirts from a recent order had dropped to $39.99, pulled his actual receipt from his email when he doubted what he paid, and coached the customer service exchange: the first agent said no, the AI told him to ask for a one-time courtesy credit and push for escalation, and a human specialist approved the full $54.02. Alert to refund took about half an hour.
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.