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 finally connected the AI to his Home Assistant setup and spent the day changing all of his automations. The AI also made an overview of how many cups of coffee they brew, which he called totally useless but fun.
Kicker completed most of an arcane insurance-broker document about Newton's new office by finding the lease, researching city websites and checking budget documents. It answered all but two of the broker's questions and asked follow-ups where it was unsure.
The AI books the user's tennis club clinics and pays for them, keeping the user's regular sessions in place without weekly admin.
He stopped using Descript and now cuts his YouTube shorts with AI. He says the quality of the shorts has gone up since the switch.
Lexie Alford asked the AI to turn 6,000 saved Instagram posts into a mapped Florida bucket-list organizer. Saved-post archaeology turned into a usable travel map — the same pattern as the recipe-PDF case, applied to travel.
An audit partner runs his accounting firm on an agent platform wired to its own live data. In the session the agent pulls the credentials from a vault, logs into the KWSP i-Akaun portal, and submits the EPF contribution, with the partner reviewing the figures before payment.
Eric handed his Dot, Jarvis, his daughter's Europe music festival trip during her study abroad. Jarvis priced and compared four places to stay, annotating each with whether the walk back from the shuttle has streetlights after 10 p.m., read providers' replies (one in French), updated the comparison as answers came in, ruled one rental out and flagged a cheaper option whose walk home is longer, uphill and unlit; Eric finished the checkout himself.
The poster of the spam text case also had his bot remove his personal details from data broker listings. He lists both jobs among the things the bot has genuinely handled for him.
A couple spent 14 days in Kyoto, Hakone and Tokyo with AI as their travel assistant. Before the trip it grilled him one question at a time instead of handing over a plan, and built a private offline trip page for their phones with day cards, booking codes, train guides and taxi cards showing the hotel address in Japanese. During the trip he ran it from his phone: after they caught a later train he asked for the day to be re-timed and got new times, an updated app and moved calendar events in a couple of minutes. One stop was added without anyone checking it was open, and it was not; after that every stop got checked on the venue's own site first.
Cemex's Consult HR agent in Microsoft Teams explains the vision benefit from SharePoint policy documents, then presents an Adaptive Card in the same chat where the employee enters details and uploads the invoice image. On submit, Power Platform workflows route the claim into ServiceNow and immediately return a live tracking ticket number in Teams.
A screen recording shows a proactive AI message: TAP Portugal selling Montreal (YUL) to Lisbon roundtrip nonstop for $602 CAD all-in — 34% below typical best prices — noting it pairs with Manchester United's Champions League away game at Sporting CP on Wednesday, Nov 25 at Estádio José Alvalade. A user reply reads 'the AI is my new travel agent.'
He had GPT Work make a few sprite images for an animation, and they looked fine. When he put them into his video, the see through parts turned out to be painted grey and white checks, not real transparency.
His baby monitor had about 9,000 photos and videos of his son's first three years, but saving them meant clicking each one by hand. He had the AI write a script that downloaded all of them in 45 minutes.
A first-person account of testing the AI to fully plan and book a spontaneous trip without doing research: an open-ended goal (good food, beautiful stay, minimal effort). The AI compared destinations, flights, and hotels, noticed the author's saved Instagram folder for Mexico City, suggested ways to use points and travel benefits, and organized everything into a bookable plan — presented as Part 1 of a series.
A client needed a small design job that would have taken him hours. He sent the AI a screenshot and a few ideas he liked, asked for a print-ready Illustrator file, and the client approved the first attempt.
He is not a programmer, but he used AI to trace a bug through localization files, tech scripts and the game's internal category system. The AI hotfixed a deprecated modifier key in his Clausewitz engine mod, and he shipped a working patch in 30 minutes.
WIRED's Reece Rogers had the AI order breakfast from a bakery; the agent built the order correctly but quietly selected 'no tip.' Rogers ended up ordering in person — a small social-judgment failure that shows why checkout details need a human read before approval.
He runs a one person business that makes electronics for hobbyists and his customers run several of his devices at once. The AI built a stand alone program that plots their measurements together, the job he had been doing in Matlab, and worked out on its own how data from different products fits together and how to line it up in time.
Colombian consultant Darío Palacio Isaza sent his Instinct agent to find a product with exact specs across online stores. Mercado Libre's security check blocked the agent repeatedly, so the purchase went to Éxito.com, a store he had never used, because its product page was machine-readable.
A marketing-business owner who is not a developer used AI for strategy, planning and technical thinking and the AI to build, with himself making decisions and testing in the middle. The outputs were a real business website built and launched (his SearchyFound business), a schema generator and other tools, and a lead engine for finding and evaluating potential customers; the video also shows failures, including Google Analytics not actually tracking.
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.