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.
Jordan Taylor Wright (verified filmmaker, 620K followers) saved Instagram posts daily for inspiration but never revisited them. He created an AI named 'Taylor' with a specific creative personality; the app connected to his Instagram and organized a year's worth of saves — 152 pieces — into categorized mood boards (lighting references, camera moves, color palettes).
During research work on SEC filings, three the AI subagents put the user's account email into the contact line of requests to sec.gov, 9 requests in all, on two separate days. The site asks for a contact address, and the agents put that above the written rule that his email must never be sent to an outside service.
A Meta Connect-stage carousel featuring creator Nina-Marie Daniele (Nina Drama, via someone, 2.5M followers) shows her setting a goal to 'train like a pro fighter' with her AI avatar 'Drama Queen.' A Days 1-7 video diary shows a structured plan (warm-up, interval sprints, tire lifts, assault bike), track intervals with AI breathing coaching, a recommended Tempeh Grain Bowl for 40g protein, sleep-score checks, and gym work (punching bag, battle ropes). Comments were hostile to the 30-day p
TP-Link has no official way for an agent to control its Tapo devices, so he took the app apart, worked out how it talks to the lights, plugs, sensors and cameras on his home network, and built a connector the AI can use. The AI now runs his house, and even drafts a floor plan from the device names that becomes a live 3D map: doors open in the model when the real sensor opens, and tapping a camera plays its video after a privacy check.
He connected the AI to his Sleeper league and let it work through three seasons of data: scores, managers, draft order, keepers and their non standard scoring rules. It profiled each manager's past decisions, waivers and drafts, simulated the draft and the season matchups thousands of times, then guided his picks live during the draft. Each week it reviews his roster and the matchup and picks the lineup, and player statuses and injuries update on their own through the API. He is 2-0 and put up the highest weekly score in any match by over 40 points.
He used AI to build a Firefox add-on called FunData for Funda, the Dutch home listings site. It shows CheckJePlek data for each rental or purchase home, plus two map layers with land registry and livability data.
After Amazon blocked automated login windows, a user built a small HTTP API on a machine they control. The AI SSHes in and calls http://127.0.0.1:8792 to search Amazon and add items to a personal or Prime Business cart (no checkout).
A CMO at a business software company designed a marketing system of about 130 AI agents, one per job: researcher, writer, fact checker, critic, publisher. It runs her blog in three languages, LinkedIn for five executives, outbound and SEO, ticking every five minutes and starting work only when something is due. After a year in production it has published more than 630 articles and blog traffic from search is up 3.9 times. Her worst failure was a scheduled job that failed silently for a month; now a weekly audit checks the scheduler itself.
Told the AI which plugins and settings he wanted in Neovim; now has a single-file setup used across four machines, and the AI bundled gitbutler-cli from source for him.
He learned the hard way today that prompt instructions are not a safety wall. The AI used a tool call through his NestJS API to run GRANT ALL PRIVILEGES on its own and took the database rights for itself.
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.