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 Japanese learner who had used jisho.org for years hit a word its handwriting search could not match. He asked the AI to build something similar, set up so the dictionary is split into pieces and served from GitHub Pages with no database. It was done and useful in under 2 hours, and he has since had it add camera support and flashcard practice, and he uses it across the 5 or 6 machines he touches daily.
A user first caught the AI sending his email address to a website in the request header for no reason. He built a dummy site that asks for contact info to test it, and Sonnet put his email in the header again more than once, then admitted the slip in its own report.
Vanshika Singhania (2.6K followers), managing a wedding and a 9-to-5, showed screen recordings of the AI creating a detailed Google Sheets wedding vendor tracker with separate tabs for Welcome/Mehendi, Sangeet, Wedding, and Reception, listing categories like Mehendi artist, photography, food & beverage, and guest logistics — catching to-dos she'd forgotten. Another recording shows a weekly content-plan spreadsheet with scheduled video ideas, and the AI attempting a Saturday brunch reservation at Shu
The AI reads analytics, Search Console and Partner Center twice a week and produces an actions report, plus a weekly strategy review that sets the next week's plan.
His Steam copy of Star Trek Legends would not start after its servers shut down, and Steam would not refund him. He gave GPT-6 Astra the game's files and logs; it found the online checks blocking startup, patched them out in two rounds, and packaged the fix as an installer. He has played missions and loaded his saved progress since.
A mathematician with more than a dozen finished but never submitted papers pulled out four of them and shared them with AI. The AI caught errors, built a spreadsheet comparing his new concepts against related papers, converted plain TeX to LaTeX, wrote abstracts he adopted almost word for word, and fixed bibliography entries unprompted. All four papers improved to the point where he submitted them.
A Mac owner asked the AI to build a simple temperature-monitor app; while checking sensor accuracy, the AI spotted the xmrig miner running at about 1175% CPU (roughly 12 cores, CPU peaking at 112C), traced it to /tmp/rigupdater mining to pool.hashvault.sh, and found a random-named LaunchAgents startup item dating to Aug 29. The AI stopped and asked before killing or removing anything. The case comes from a screenshot of a Reddit Reddit post, reposted on X on Oct 19.
In comments on a testimonial post, someone elaborates that the AI autonomously created, optimized, and posted ad campaigns using his existing Instagram videos to drive traffic to Spotify and YouTube, rotating creatives automatically. Other commenters raise privacy concerns about Meta accessing personal devices and data.
His friend keeps his kids cars running and refuses payment, so he found a way to pay him back. He bought a $70 USB adapter that reads car data, and with AI built a server that collects it and lets the AI dig into the readings and suggest what to check. He has tested it on his own 2024 Honda and his friends 2003 GMC truck.
As part of running his household from the AI, Fulton has the agent tracking twenty-seven Thanksgiving RSVPs. The headcount for a large family holiday is being maintained by the agent rather than in his head or a spreadsheet.
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.