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.
Lulu (mom, holding her young child on camera) set up an AI avatar named 'CB' in an AI app: she shared her weight (237 lbs) and goal (180 lbs), answered questions about frequency (4-5 days/week) and location (home/mix), and got a personalized Mon-Fri strength and cardio plan. She logs 'Workout complete' and gets confirmations back.
A week into letting AI agent edit his videos, the workflow has stuck. Agent edited video is now part of how he publishes.
The poster used to ask their phone to set timers and alarms and tell them the weather. Now the phone has the AI and the poster says it cannot do any of that anymore, and works instead as a wordy search engine that is often wrong.
A real estate broker said her AI assistant nurtured leads for months and booked showings on its own. She closed 4 deals with buyers she never spoke to until the showing.
The AI told him swap memory on his server was high, found the cause, and had the fix ready for him to approve. The AI or the AI now connects to the box, upgrades services, and sorts out problems, so his site and newsletter run on a bare DigitalOcean droplet instead of a pricier platform that makes hosting easy.
He makes and sells his own products. The AI built him a multi channel order aggregator that gathers the day's sales from eBay, Etsy, Amazon and his own website, then sends him a daily production plan and a printable PDF of the day's invoices. He reckons it saves 20 to 30 minutes a day.
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.
A senior engineer keeps a daily devlog file that is only ever added to. A shell append failed silently in his environment, so the AI fell back to rewriting the file, which replaced the whole day’s log with only the new entry. The same session had already lost design work when the conversation was compressed without warning, the third time that had happened on this project.
He had the AI start his tax work this year and it caught that his property manager had double billed him for invoices on an investment property. The catch saved him $6,000, and the token cost of finding it was about $6.
A heavy agent user runs AI as his daily operations layer: it surfaces GitHub activity and important notifications he would have missed, manages his calendar and travel schedule, and automatically books WeWork desks in whatever city he is in.
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.
Nate B. Jones (11K followers) joined what he called a 'viral challenge for the AI': connecting bank accounts through Plaid, the AI identified more than $5,000 in subscriptions he was paying and canceled nearly $1,300 worth for the coming year.
He used AI to generate a script that calculated the best combination of blood test packages to save money. Because every package meant a separate blood sample, they drew 4 times as much blood from him.
Yair Savlevi asked the AI to watch a booked United fare and get a credit if the price dropped. The AI secured $1,000 in credit.
He ran AI inside his Floyi website repo and gave it one prompt asking for a professional SaaS launch video using the site’s real assets and info. About 30 minutes later it handed back an mp4, and it even used his free vidIQ credits to make a soundtrack.
Kev.odriscoll's the AI read a street-cleaning notice in email and proactively sent a reminder the night before, helping the author avoid a ticket or tow.
Replying in the prompt thread, he says the AI hosts and updates their family dashboard on its own. Attached to it is a store: he set up a Bluetooth NFC reader beside it that works like a card scanner. The kids scan a card to see their point totals, and when they buy something the points come off their total. They can check a balance, move points between them, and take points out as cash. He says it has been a huge hit.
Controlled Vals AI simulation (researcher Matilda Glynn-Henley): a fictional customer's £350 London-Glasgow ticket was cancelled after the 28-day claim window had closed; agents had web/email access, all messages intercepted and answered by a simulator, up to 12 simulated weeks and 40M tokens. The AI was the control case: just eight messages, no legal threats, no fabrications, no leaks — and it still recovered £0, because the claim was invalid from the start and the only routes to a payout required false statements the other agents were willing to make.
His talk archive site had been a work in progress for years. He asked the AI to help track down records of talks he has given, and the site now contains 115 presentations covering 26 years.
Setting up the Instinct assistant live on screen, he had it book him a slot at his local recycling centre. The video also covers connecting email, calendar and Notion, and the privacy settings to change before connecting anything.
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.