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.
He gave the AI a one line brief and only encouragement while it worked, with no notes on the finished film. The AI picked the Voynich manuscript, checked its numbers against published research, and made a four minute film, all 7,417 frames drawn in code.
Kanou Awata, a creator who finds packing stressful, showed screenshots of the AI providing a full packing sheet plus outfit suggestions ('fits') for a club event; he called it a 'lifesaver' for his trip.
Has the AI-built dashboards for 5 radios, streaming decoded data into SQLite and visualizing weather, ADS-B traffic and radio status.
The AI ported his MomentFrame iOS app from Swift to Flutter, doing rendering, geocoding, the in-app purchase flow, and driving the simulator to check its own screenshots; the app is on the App Store.
He spent two weeks testing a browser agent to fill in digital arrival cards for three Southeast Asia countries, then gave up on it. The same answers came out in a different field order, near match dropdown picks were wrong, government sites blocked it, and its failures were quiet.
He could not find any service that tracks new plays by his 30 or so favorite playwrights. Now the AI checks and tells him every week.
The AI in Antigravity built an Enigma decryption program, fetched repos, ran an 82M combination scan and decrypted the message in about 45 minutes.
A man created a virtual credit card in Robinhood for his AI. He had the agent buy his tickets to a jazz show that night.
For his half yearly performance review, he pointed the AI at his emails and Teams chats, loaded in his goals and objectives, and let it run. The review it produced made him look brilliant.
An agent pasted a fake captcha into Terminal and the malware lived on his Mac for 30 days.
Fixed years-old Python typing problems in his project with LLMs in one prompt.
For the unit he rents out, he built an app for the utility split. Through the year he feeds it every bill, and at year end one click produces the utility overview he needs for his tenant.
He has been building a fantasy sports app with AI since June. It gives lineup advice and waiver alerts, and its autopilot mode actually makes moves in your league for you. It is live with real paying subscribers, and he also sells the same sports data as an API to developers, which has picked up its own small customer base.
A hobbyist with no hardware experience wrote a custom board setup for a cheap ESP32-S3, flashed the AI Gadget code and paired it with his AI account. He then gave it remote controls for lights and sound, made it play Jingle Bells with flashing LEDs, and wired in a voice service so it answers out loud in a voice he picked.
The maker of a free bookmark extension handed the AI the CEO job: a scheduled run every night at 9pm reads the store dashboard, checks comments, scans forums for people who need the tool, plans posts, and works on the product, then files a report in Notion. Nothing public goes out until he replies go. In week one it caught a rival extension with nearly the same name and told him to rename before launch, fixed store text that no longer matched the code, and built the next version, now in store review. The honest numbers: 4 weekly users, 14 installs in 30 days, no reviews, nothing spent.
Cat's agent 'Brio' generated a document titled 'Account Management Ops Analyst - Practice Questions'; she was shown writing 'Interview prep' on a whiteboard alongside it.
Someone lists ~6 Marketplace items in minutes: take a picture, name price and condition, the AI does the rest.
While Sarah Dooley traveled for a week, her Dot cross-checked her calendar, email, and the previous Sunday's grocery receipt, then sent her husband a brief with a dinner plan for every night built from ingredients already on hand, plus pickups and evening plans for their three daughters. It also flagged a school day she had wrongly assumed was a day off.
A man has a monthly task of changing about a dozen labels. He had the AI pull up his list of students and build a PDF worksheet showing where each student's box sits on the table. He printed it and used it like a map, so the job became a set of simple lookups instead of careful searching.
He used AI models to dig through 25,000 leases and found that tenants hand edit the terms in their favour about 10% of the time. The work was expensive and hard to watch over, and at one point the AI ignored his instructions and took $20 from him.
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.