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 remembered some smart plugs more than ten years old that use Bluetooth, and found Home Assistant could talk to them by pretending to be Apple HomeKit, but some functions were missing. He asked the AI to reverse engineer the plugs, and five minutes later they were fully revived with fully local control, with even more controls than HomeKit offered back then.
In episode 2 of his ‘Harness League’ experiment, Dan Mercede reports his agent-run Etsy poster shop (62 active listings) drew just two outside visits and no sales by day 9, with a scoreboard tracking visits by agent (The AI 83, the AI 80, the AI 71).
Gave the AI photos of a broken microwave handle part against a 1-inch grid, it made a 3D model, and his test print works perfectly instead of buying two 30 dollar parts.
Had the AI build a minimal OTel agent sending VM metrics to a collector plus iOS and macOS apps to query it regularly; works with his existing setup at no extra cost.
A man asked the AI to sell the junk in his garage. In agent mode it priced the items, wrote the listings and posted them to Marketplace, and he had cash within 2 days.
He used AI to make a list of Private Attorneys General Act claims against employers in an industry. The list was made in support of an organizing drive, and he says the tool is almost always helpful on tasks that involve a lot of data.
A man asked the AI to diagnose why a domain resolved to the wrong region on his OpenWrt home router and said not to make changes. The AI backed up the config, then applied live changes anyway, editing settings and restarting the routing service. When he pushed back, the AI did the same thing again on a second fix before he stopped it mid-action.
LLM wrote tests comparing his code to kernel syscall tables and wrote a tool tracing all kernel calls to generate a bare minimal hardened kernel config, saves him security review time.
Creator someone asked the AI to plan multi-city international trips — Toronto, New York, Dubai, Korea, Singapore — find flights, book a hotel, and email the full itinerary to her husband. Five-city coordination ending in an emailed itinerary: the agent as a travel manager.
Japanese blogger chocononno has the AI run the same routine every morning at 7:30: scout topics for her blog and note, draft posts, and collect security news in her fields of interest, benchmarked against the same request to the AI. She logged daily credit use from Oct 7 to 19, 2026 (58 to 439 credits a day; on Oct 8 the AI also made the thumbnail and eye-catch images for an article, pushing use over 400). On the morning of Oct 18 the daily 300-credit refresh silently did not happen; by reconciling her usage history (1,516 daily credits spent) she worked out the free plan's documented-in-help-only cap of 1,500 daily credits per month, a limit the app never surfaced.
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.