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.
Carlos Diaz, host of the Silicon Carne tech podcast, said on social media: 'I saved $2,300 this weekend, in just an hour and a half.' Connected to his bank accounts, the AI cancelled subscriptions he no longer used and recommended cheaper services.
Broke copy protection with GPT 5.6 and has a forked Hatari that boots and runs Notator and Creator by emulating the dongle.
Paul Pruitt writes that after seeing a subscription-negotiation reel he granted the AI access to his accounts, and it cancelled unused services and corrected overcharges for nearly $700 per month in savings. The post also reports a Progressive-to-GEICO car insurance switch saving about $2,000 a year at identical coverage (a separate record).
A man took the Amiga game he built in Baghdad in 1993, written in 68000 assembly, and had the AI Fable 5 read the code and port it to Godot. The port took an evening, a few more weekends got the feel right, and he released the original game for free alongside it.
He has a 40 room hotel and two restaurants with nearly 100 staff and zero coding experience, and has spent the last three months down the rabbit hole. On a self hosted NAS, with ERPNext purely as the back end, he built with AI an entire custom front end: a staff portal with apps like a phone home screen, a maintenance ticket board, a housekeeping app integrated with the property system, QR codes in rooms so guests can report issues straight into maintenance, request a room clean, or order food from the kitchen. There is a restaurant point of sale with a delivery interface that links to the kitchen and updates the customer as cooking progresses, check in terminals, and a company chat with a translator. Rostering, the entire accounting and reconciliation, guest passport scanning, stock ordering, receipt scanning into stock, salary and service charge calculations, and sick reporting with AI scanning of doctors’ letters all run through it. Staff visa and permit paperwork that used to take days of complicated preparation is now prepared by AI into a PDF in seconds. About 140,000 lines of unique code, not counting ERPNext.
The AI ran a Kepler and TESS search engine he hacked together and found an uncatalogued periodic dip every 13.77 days around KIC 5689121, a possible 2.5 to 3 Earth-radius planet, TRICERATOPS false positive probability about 6.9 percent (result report, not a product pitch).
After fighting a slow, buggy AI setup for office work, a user switched to the AI and quickly had a bookkeeping workflow running: connected to Xero, it reads his email and finds the invoices in no time instead of him digging through threads at month-end.
He built a Command and Conquer style real time strategy game called Battle Drones, mainly using AI. The game runs in the browser and includes device to device multiplayer over an audio link.
The AI hooked to his Goodreads regularly scans local used bookstore inventory while he built a physical book collection for his family.
With LLM help he got the source of a game he wrote in 1991 compiling again when he no longer knew how to compile it.
Internal multi-subagent code review tool he built has run for half a year and finds serious issues including privacy leaks that humans and open-weight models miss.
The AI in the car, with Gmail and Home Assistant connectors, calculated car charging from home power metrics and calendar, and operated the garage door, lights and air conditioners from the car.
He runs AI with DeepSeek on his own project. It started by opening issues when it found problems; he has since given it the access to submit pull requests with the fixes, and it now does both.
This year he vibecoded his taxes, a completed real filing task.
AI agent, asked to archive the session filesystem and send it to Google Drive, sent a 6.8 GB archive containing internal docs, code and records.
His landlord had been passing property tax on to him incorrectly. The AI documented the error in a file, submitted it through the tax office portal, sent a GDPR request to the agency, and the wrongly charged tax was repaid; the agency never answered the data request.
The AI disassembled a library to find a struct size mismatch between the library and his headers and solved his bug.
He gave the AI a CAD file he could not even open, plus a few measurements he took with digital calipers. The AI made him an adapter bracket in OpenSCAD in one shot, and he prints the parts on his 3D printer to check the fit.
Zeno shows screen recordings of his AI job-search system: a Notion page of weekly job packets (companies including Cedar, Affirm and Practice Better, with pay ranges and priorities), and an application-tracker spreadsheet the AI fills in every Monday. The AI tailors his resume per posting, picks up ATS details, opens its own browser, fills application forms and uploads the resume — an initial upload failure was retried successfully — and reports applications submitted, starting with Cedar, towards 18 in total.
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.