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.
Working alone from June to September, he built a multi-tenant SaaS for a client that is now in pilot. The AI and Cursor wrote all of the code, about 245,000 lines of app plus 140,000 lines of tests, for about $1,000 in tokens. Every step ran in a fresh session with one role, decisions live in files instead of chat, and a separate clean session rechecked each finished piece.
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 man used AI to build a full runbook of how his Linux desktop is set up, covering installed software, configs, hacks and workarounds. He then used the runbook to move to a new laptop in one afternoon, and the runbook now keeps itself up to date.
After his motorcycle was stolen, his insurer offered nearly half the market value. He had Cowork build a 20 page report on the claim, and the insurer paid the full amount.
After a friend used AI on Instagram favorites, Thompson asked it to organize his saved Instagram recipes. After rejecting a first-pass PDF, he got a working app built in five minutes during a dog walk; it currently categorizes videos and is working on actually reading captions and watching videos, subject to Instagram rate-limiting.
A man used AI to lower his internet bill by $60 a month. He says it was free, took 30 minutes in the background, and needed very little from him.
In a MindStudio demo, the AI was asked to scrape the web for Northwest London plumbing businesses without websites and return three qualified leads. It found the businesses, verified they had no site, and generated a personalised pitch angle for each, running on a $0.24/hour CPU instance.
A man created a virtual credit card in Robinhood for his AI. He had the agent buy his tickets to a jazz show that night.
Andy Bennett built Helm, a Mac, iPhone and iPad job tracker with CV tailoring, with AI writing all of the code and most of the design across 641 commits and 21 plans. The first working Mac version landed in about eight hours of commits on September 11; both apps are now in TestFlight beta.
He linked his brand and personal Gmail and Outlook accounts to the AI. The first job he gave it was unsubscribing him from spam, and he says it felt great.
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.