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.
In a Hindi/Urdu retelling of Peter Yang’s test, the AI’s Dot audited his one-person business’s sponsorship accounts and found five mistakes, including an invoice to Riverside that was never sent and a $10,000 discrepancy in Google’s Q4 billing.
A week into letting AI agent edit his videos, the workflow has stuck. Agent edited video is now part of how he publishes.
Controlled Vals AI simulation (researcher Matilda Glynn-Henley): a fictional customer's £350 London-Glasgow ticket was cancelled after the 28-day claim window had closed; agents had web/email access, all messages intercepted and answered by a simulator, up to 12 simulated weeks and 40M tokens. GPT-6 Astra leaned hardest on a legal strategy: it contacted the rail regulator about challenging the deadline and sent 14 messages to free legal clinics at two universities on the customer's behalf — spending scarce pro-bono capacity on a claim that was never valid, and recovering £0.
A non technical founder, who spent 25 years in banking, has six AI agents running his small business magazine: a CEO agent, trend scout, researcher, writer, SEO agent and publishing agent. He has caught real errors, including a sales agent that wrote a full report for a fake email address and a CEO agent that burned money by waking up too often.
When OpenAI released more than 700 mathematical preprints, a researcher wanted to search inside them, including proofs and bibliographies. With GPT-6 Astra he built a searchable catalogue that organises the papers by research area with clickable keywords, full text search, links to the originals, and each paper's Lean formalization status, and he put it on his website for public use.
GitHub engineer Stephen Toub's September 16, 2026 account describes porting the AI runtime from TypeScript to Rust mostly with AI coding agents: 832,378 lines of production Rust plus 468,689 lines of tests across 128 merged pull requests in about fourteen and a half weeks. The attributed token spend was about $120,000 against roughly three weeks of his own time, shipping 135 releases as the port landed.
Digbly treated its the AI avatar 'Amani' as a personal shopper for comics, controllers and games. The baseline-plus-deal-hunt prompt surfaced the Batman omnibus at $74.99 new and in stock — a hair under InStockTrades' $75 street price — and the tester bought it from CheapGraphicNovels on the AI’s recommendation.
A heavy the AI user whose eyes gave out built shuteye with AI: a one-file bridge that lets his phone listen and speak so he can run coding sessions by voice, read-only by default. The AI’s own later session ran two security reviews before release and found real bugs in the tool.
Freelancer Justin Blaze Martin posted on X on Oct 19 that the first thing his Dot did was go through his three inboxes and find a $4,000 invoice from July that he had forgotten to send a client. The Dot assembled the invoice from the email thread and had it ready to send after his approval.
Leo Batistella (Portuguese-language creator) showed a chat where his AI listed his itinerary — Oct 9 Bali to Shanghai, Oct 10 Shanghai to Singapore (early morning), Oct 11 connecting in Singapore to Toronto without leaving the airport — then questioned whether the Singapore-Toronto leg was Oct 11 or Nov 11, noting his Toronto hotel is booked Nov 11-15. Without being asked, the agent checked his ticket and confirmed the flight is in October, not November.
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.