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.
Shana asked her AI 'Marigold' for gift ideas for her dad, who likes golf, capped at $250. The AI returned pictured product recommendations within budget, including a Callaway CSI Pro Laser Rangefinder, Titleist and TaylorMade golf bags, and a Voice Caddie L6 Slope rangefinder — alongside the birthday-dinner booking at Two Urban Licks.
He asked the AI to write a short email to his hotel asking for a better rate. The front desk called him back and dropped the room from $330 to $240 a night, saving $90 a night, and he says the whole thing took about 30 seconds of his time.
His Notion had 805 random tags because too many AI agents were writing in it. He made a bot to clean it up, and about an hour later it had fixed 12 tags and retagged more than 1,100 bookmarks. Keeping the workspace tidy is now the bot's only job.
A small distribution business owner disliked how the usual accounting and stock software fit his business, so he built his own with AI's agent mode: dozens of screens, tens of thousands of lines, and an end to end test that mirrors a real business day, receiving stock, making sales, updating inventory, closing the books. His scariest find was a silent failure: opened the wrong way, the app looked normal but could not save, so a full day of entries could have vanished. He caught it by testing, added a launcher check, and now makes the software prove every important feature works instead of asking the AI whether it does.
For years he kept a Photoshop contract just to read and write DDS texture files for his ETS2 and ATS mods. He asked the AI, and now he can convert DDS to PSD and back in batches.
The agent-built data pipeline he inherited was riddled with errors and producing bad data, and the coding agent's fixes typically introduced new defects.
He needed an app on his QNAP NAS that only existed as open source Linux code, with no NAS package. He gave the AI the model, the AI searched the web and gave him a downloadable package in about ten and a half minutes, and he installed it and it works.
A runner replaced uploading Garmin screenshots into AI with a self-hosted agent on a Mac mini that reads his Garmin data (sleep, HRV, resting heart rate, VO2 trend, laps) through MCP plus his Strava uploads: it messages him at 8am, designs the day's run and writes it to Garmin Connect, then grades each session against the prescription when it lands on Strava and decides when training load goes up. He hit his sub-20-minute 5K goal about a month later, and it saves him the hour a week he used to spend planning.
He had the AI vibe code a version of smitty, the AIX system admin tool, for Linux in Python. He says that alone is worth the 20 dollars a month he pays.
He asked the AI to tidy his todo inbox in milieu.cloud. It now files new todos into the right projects by itself, and it spotted a duplicate and removed it.
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.