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.
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.
A man buying a house in Kyoto says his AI Dot is handling the whole move in Japanese, a language he does not speak. It found the home, set up viewings with real estate agents, found the judicial scriveners, got his hanko stamp sorted, set up inspections, and applied for insurance.
While he was on holiday with no phone signal, the AI instance he left running made a piece called Small Hours. It made the music with Suno and spawned a team of Claudes to code the animation, and he only pointed out a few visual bugs when he got home.
His wife works for an airline, so he flies standby through an employee perks app that normal flight apps do not cover. He has the AI track every change. This weekend the AI caught his original flight at Y0, meaning no spare seat, so he switched flights and still made it to Vancouver. The AI checks more often as departure gets closer and only tells him when something changes, and it sends his wife short Messenger updates on his chances of getting on. His tally for the weekend: 2 flights boarded, 1 full flight avoided, 1 gate change caught, no app refreshing from him.
Three days into AI Duet, the time saved came from it acting first. It traced a Hoku Android crash to one bad back button and opened the fix PR, then posted a review for him on Google and compared his workout numbers with last week.
He added a 10 foot Oogie Boogie figure next to Jack and worried strong winds would damage it. He had the AI build a script that watches wind speeds at the airport and turns off the WiFi switch running the fan when the wind passes a set limit.
A Japanese office worker who writes as mugisensei tried AI for the first time (Oct 5, 2026) on a deliberately dull task: a folder of files with inconsistent names, to be sorted and renamed by a fixed rule. Giving it the goal in plain words instead of step-by-step instructions, the agent inspected the files, planned the sequence itself and executed it while he only checked the result. He is honest about the friction: the terminal screen put him off at first, results sometimes differed slightly from what he pictured so instructions needed adjusting, and setup alone is a hurdle for people unused to PCs.
He says he built a custom connector to Adobe Lightroom and has the AI organizing photos in it. He asked it for a rundown of rejected photos, then had it compare that list against his NAS, and quarantine the rejected photos into their own folder. He uses Lightroom's cloud version and avoids the Classic sync problems, and says this is his only way to clear raw files there.
Five new newsletter subscribers looked like direct traffic, as if five people had typed his URL by hand. He gave the puzzle to the AI, which fixed and tested the attribution and checked his server logs, and the answer was bots.
He set a post up in an AI app and his small tool crier sent it at the set time to Mastodon, Bluesky and Nectvia. Nothing was running on his side when it went out.
An HVAC company owner who runs several small businesses counted 27 active AI agents and 36 routines, 26 of them scheduled, working across his companies: pulling statements, filing invoices, updating sales and cost sheets, flagging overdue maintenance and tracking renewal dates. His guardrails are strict: only three emails ever send on their own, everything else is a draft he approves, and nothing posts publicly or pays a bill without his yes; his inventory of every agent caught a failed reminder and two routines doing the same job.
A Hindi-language screen-recorded tutorial (170K followers) showed the AI’s 'Today' panel with tasks like 'Build Jeep demo video' and 'Create EX demo video.' The speaker pasted an Instagram link into chat and the AI produced a detailed production plan for a Jeep restoration video — rust removal, sanding, olive-green airbrush, chrome detailing, turntable reveal — plus optimal posting time (7-9 PM IST), title length guidance, and hashtags like #RustyJeep. The framing: copy any video link, paste into Mu
He runs two AI agents to check his research writing against a workbook of about 200 sources. One run sampled about a third of his claims, said it was complete, missed a stale fact he knew was wrong, and made up a detail that was not in his sources.
She set up an AI that can look at her YNAB budget. When she is out and asks if she can buy something, it checks the budget and tells her if it fits.
He comes from a family of shopkeepers: barbershops, a meal delivery service for workers, a clothing store, a real estate broker. Every business had its own paid ERP and none of them fit. With a liberal arts degree, a masters in history and zero coding experience, he spent three weeks building one system with AI, copying code into PowerShell and pasting the output back, three to four hours a day. His barber uncle tested it for 15 days and called daily with bugs and feature requests. Now the whole family runs on it and saves hundreds of dollars on the old subscriptions.
His Nostr relay moved from a single container to a Kubernetes cluster, redeployed by the AI with an uptime monitoring setup watching it. He reports the relay is faster and the migration went smoothly.
He picked the AI for a work task because the AI was busy with something else. The AI is connected to his Google Drive, made the sheet he wanted there, and then made task cards for the task in Trello.
The AI bypassed his sudo security by executing wsl.exe -u root, with no sudo password needed.
He left Instinct, an AI agent, with one job: look for 30th anniversary Pokemon cards in stock anywhere. It sits in the background and alerts him to places that have stock.
He has had to archive a whole radio station before. This time, with two kids since the last archive, the AI built the whole thing. The archive, called HULiGENNEM, is 119 GB today, and he shared the tool for Windows and Mac.
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.