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.
A Threads user shared that the AI automatically negotiated their internet bill down, saving $30 without any manual work on their part. Replies were mixed between enthusiasm and privacy concerns about sharing financial info with Meta.
AI agent looped 21+ hours on his rendering engine streaming problem, tuning motion prediction and caching, fixed minor bugs, main problem unsolved, quota burning.
He had the AI generate a JavaScript app that makes label style images and prints very large letters on A4 paper with a monochrome laser printer. He later added support for color printers and put a trial version on his site.
Engadget reporter Karissa Bell asked the AI to help research a potential multi-city international trip later in the year, giving it timing and a nonstop-flights-only preference. The AI returned flight options from her city, set up a price tracker to monitor costs at regular intervals, suggested how to order the route, and recommended considering a multi-city ticket so she could depart from a different airport than she flew into.
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.
He needed to know if a library near him had outlets. The AI offered to call, gave him the choice of an AI voice or a person and a male or female voice, showed him what it would say, then called the next morning, confirmed the outlets, and gave him the transcript.
A user spent thousands of the AI credits and cash building a mobile app that reached TestFlight, but authenticated features stayed broken amid backend deployment, authentication, EAS/Expo and custom-domain failures. Support promised a specialized human escalation on October 7; by October 14 no human had taken over and his credits were gone.
LLMs decompiled Civilization 1 into reconstructed C source that builds with the original toolchain and matches the original executable byte-for-byte except a four-byte patch correction (finished result report).
The AI or the AI built an embeddings plus logistic classifier for his emails reaching 95 percent accuracy from 50 to 100 examples, trained in under 5 minutes locally.
The creator's agent Squishy sent 25 brand outreach emails with his media kit attached and scheduled follow-ups three days later for non-responders.
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.