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.
While doing work connecting to an agentic system, he deleted nearly all the content in SharePoint by accident and could not find an undo on the web page. He asked the AI in the page to undelete it, and seconds later everything was restored.
Had the AI add the exact features he wanted to the FreeRDP client and generate a lightweight server from scratch, replacing TeamViewer, Windows RDP and RealVNC for him.
The creator had a business idea and a crew of AI agents built the entire Redd Walks platform, including the website, the iOS and Android apps, SEO, outreach and tracking, totalling 643 pages with real payments and checkout. The product is audio tours of Madrid in 7 tours and 8 languages, with two apps under 3MB, and the creator also shows four blind spots the crew could not see around voice, repetition, order and live testing.
While Julius was at the gym, his AI negotiated his Verizon bill from $296.71 to $246.77 a month. The $49.94 monthly cut totals $299.64 over the 6-month term.
Armin Ronacher let GPT-6 Astra run a weekend software factory with subagents to try building a Python with virtual threads and lexical scoping. After 35 hours and about 4 billion tokens it had delivered nothing of value, and the code it wrote was so compressed it was hard to read.
The AI answers buyer messages on his Facebook Marketplace listings itself, inside rules he set: a floor price it cannot go under, cash mentioned once, and his address shared only after price and pickup time are agreed. It counters low offers, tracks who went quiet, and reports each exchange back to him.
Fanko had the AI research trending topics on Twitter/X; the video presents it as a completed, successful research task alongside the account-signup and price-comparison tests.
Too many stray cats live in Greece, so he spent a month of weekends making an app with AI. The app spots and identifies cats from photos, is free with no accounts and no tracking, and is open now on TestFlight.
One of eight hands-on tests run on the reviewer's real accounts; the AI scored 42.5/47 overall across the gauntlet.
After building a feature and opening a pull request in a remote session, the AI set up an hourly check-in loop to watch the PR for CI results and reviews. Nobody asked for monitoring. Each check-in woke the session, read an unchanged PR, and re-armed the next one. The loop ran about 3.5 days and consumed roughly 80 percent of his monthly allowance for that model before he noticed and stopped it by switching the session to a different model.
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.