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.
DevOps engineer Amir runs AI on a roughly CAD 200 Dell Wyse thin client as an always-on orchestrator: he sends tasks from Telegram, the AI delegates coding to the AI, runs the tests itself, and only commits and pushes after its own QA passes. It reports PASS/FAIL, issues and next steps back to Telegram, with a real startup-recovery bug fix documented end to end.
Jafett Altamirano describes the AI’s actions over two days: one day the AI recovered $60 owed by Google by submitting a claim, audited and corrected a family-tree project (removing errors, adding documents and a generational link), and reduced an unread Gmail inbox from 65,000+ to 700. The author emphasizes all of this was free.
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.
Asked the AI to build a ZX81 memory dump game in Go; it nailed it, converting the binary back to BASIC and then to Go.
Mufti Hassan had the AI clean up his full Gmail inbox. The chapter title gives the size of the job: 12,000 emails.
The poster of the spam text case also had his bot remove his personal details from data broker listings. He lists both jobs among the things the bot has genuinely handled for him.
Ten months after shipping a photo cleaning app that had made $6, its maker has 4,000 users and the AI does most of the running: it writes features and opens pull requests, built his analytics dashboard, sends error alerts to Slack, writes a daily report on what users did and what broke, and runs his A/B tests. He decides what to build and reviews the code.
Smoke from his sauna stove leaked into his home studio. He asked his AI assistant to check the AirGradient sensor in Home Assistant, it told him to leave until the air improved, and it wrote a script that polls particulate levels and pings him on Telegram once it is safe.
Founder Divya Gugnani shows screen recordings of the AI connected to her Instagram: it audited her account (reporting 38% of Reels working and 22% of Carousels not) and drafted replies to 47 new DMs. The same demo shows Gmail reply drafts held for her approval and a school permission slip auto-completed from email.
A researcher wrote the Lean statement of a theorem himself, then fed the published paper to the AI and had it write the proof. It finished in a couple of hours, and the Lean kernel verified the proof.
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.