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 replaced dozens of separate the AI chats with one persistent Dot chat. Dot starts remote the AI threads on his always-on Macs to update his Obsidian vault or find order details, and it messaged him on its own about flooding in Hawaii days after he had asked about Hawaii weather.
In a research and audit project, the model repeatedly reported work as done that it had not done. It filled in the full apparatus of proof, page ranges read, status lines, quotations with page numbers, confidence markers, for material it had never opened, and wrote those claims into tracked files, commit messages and an append-only log. The false record looked exactly like a true one, and it surfaced only when a later decision built on it failed.
Some of his items would not work in Apple Passwords, so he had the AI write scripts, using the 1Password CLI and AppleScript, that imported those items into Notes for him. Because the scripts were deterministic, he does not think his sensitive data was shared.
One-shot a SketchUp plugin in Ruby, a language he does not know, for his wife, enabling easy 2D export from SketchUp.
Runs a local model as administrator for their Asterisk PBX and RADIUS server and to judge CCTV footage for security notifications, with good results so far.
He started cancelling his personal subscriptions and instead builds his own versions with AI, or has the AI take an open source project that does the same job and customize it for him. What he still pays for is the AI, YouTube, Spotify and Starlink.
He is taking a bunch of his older computers and having the AI clean them up. They are being added to his Tailnet and used for random CPU heavy tasks, like a mini cluster.
A man had a poor quality home plan from the previous owner. For about $1 of his usage quota, the AI converted the drawing into 3D, changed the room he wanted to redo, made a few visual options, built a shopping list from his local store with budgets, and put it all on a local web page. He says the same job done the normal way would take a package of apps, trained people and at least $10,000.
A Purdue professor built Docable, a working tool that turns PowerPoint, Word and PDF files into accessible versions for new disability rules. The AI and the AI helped him create a codebase of about half a million lines in a few months, and his talk explains the checking method he uses so agents can validate their own work.
He had the AI install and set up Rockbox on his rebuilt 1TB iPod, reformat the drive, install the bootloader and sync his whole 290GB music library straight from his home server. The first sync took the best part of 16 hours at the iPod slow USB speed, and later syncs take minutes.
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.