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.
Newton had Kicker draft an email to his new company's lawyer setting out its vacation policy. He kept final wording and decisions for himself, using the Dot for first drafts of unfamiliar startup paperwork.
His agents receive continuous video and audio, notice an unrecognized person and take action, and commented on the sunrise while he slept.
Agent manages pricing on his Airbnbs with a large revenue boost and gives him a weekly performance report.
He filmed about 4.5 hours at a village event weekend with no plan to edit it. Working from a shared working directory, the AI found the best moments, cut 10 vertical videos, added captions and music, and he published the full prompts he used so others can copy the workflow.
Free the AI produced an OpenSCAD file he converted to STL and 3D printed a replacement coat hanger joint in 10 minutes, part now in use.
Cole Bennett's agent 'Milo' sent a Monday morning summary, suggested a date night, curated Italian options from his saved reels (Rosetta & Vine, Savoca & Sons, Marchetti's), booked Savoca & Sons at 7pm via OpenTable under his name, then offered to order white roses and had Moon's Flower Shop deliver a $238 bouquet the same day via AMEX authorization.
Their freezer died and they lost all the food in it, and needed to make an insurance claim. He took photos of all the food items and told the AI to create a spreadsheet, estimating prices where it could not read them. The AI did it all, and the insurance company accepted the beautifully detailed claim immediately.
A man built a receipt store from his emails, and the AI uses it to predict what his household will run out of based on how often he buys each item and when he last bought it. Every week the AI logs into his supermarket site, books a delivery slot, and adds the items that need restocking. During the week he sends a photo of a barcode when something runs out and the AI adds it to the shop.
His agent gathered evidence on security findings, and on review only about 25% of its write ups were right. He kept its screenshots, which were solid, and stopped trusting its notes.
The AI autonomously ran Quake demo playbacks, took pixel-diff snapshots, compiled a native build and patched the game for determinism, leaving a solid regression test set.
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.