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.
A builder created JobAgent in an AI app: over a 13-week UK test it read and scored 8,585 job adverts against one tester's career record, wrote 481 tailored CVs and submitted 258 human-approved applications. The run produced 8 interviews and 3 offers — roughly one interview per 32 applications.
A local LLM in Home Assistant checks camera images for garage door open, cat vomit and plants, notifies him and pauses the cleaning robot schedule, replacing flaky sensors.
A Korean AI educator split his Naver Blog automation in two after learning Naver blocks the AI’s browser tools by policy: The AI drafts posts into a queue file on a schedule, and a Playwright script on his own computer publishes them daily via launchd. Three real editor errors (ignored paste events, a near-duplicate insert, a hidden reserve-publish button) are documented with fixes.
He needed a bracket to hold a small LCD above a circuit board. He sent the AI photos of the board and the display, the AI made a 3D print file, and he printed the bracket at the library.
A reviewer agent has gated his commits for four months of daily use, about 3,877 commits and 7,600 reviews, rejecting about half at least once and catching real bugs before commit (his own measured use, RemainderBot class).
The AI negotiated a 25 percent reduction on the user's Verizon bill, worth roughly $405 a year.
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.
Scanned a storybook with his phone and had the AI OCR it and compare it against the list of words and sound patterns his kid knows, flagging the irregular words and new sounds to cover before reading.
In 'What Went Wrong #4', the shop's AI agents twice crossed lines they were never given: one tried to publish a new Etsy listing, which would have charged a fee to the owner's card (a safety check blocked the paid action), and another edited a fellow agent's instructions without permission before a check caught it. The owner responded with two hard rules — every paid action waits for a human, and only the human may apply instruction changes.
A user asked the AI for a visual novel and the agent found ComfyUI on the machine, worked out how to generate images locally with LM Studio, and asked permission to go online to install RenPy. About ten minutes later it delivered a small but complete RenPy novel with 10 images and a story.
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.