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.
Pointed Opus with TLA+ at company clustering and failover logic and found and prevented a catastrophic bug no unit test would have caught; Opus also wrote the invariants.
His charity food pantry needed a barcode scanner and stock checker but could not afford a paid system. He built one with AI in two days, and it now runs on a laptop in the pantry.
Ben Parr had the AI book his mom's PODS moving container. The agent got it booked $576 under the quoted price, a straightforward moving-cost win.
Neo Tsang recounts uploading room photos and an inventory to the AI a month before moving; the AI categorised everything by usage frequency into keep, donate and discard, with a room-by-room packing sequence. He also had the AI break down three movers' quotes line by line and picked the middle option at nearly half the most expensive quote (the post closes with a referral code).
A Parix.ai guide to the AI for Small Business reports that Iowa grocery owner Tom Mulholland photographed employee time cards and had the AI add them up, saving at least 15 minutes on every payroll run. (Secondhand summary of the Meta launch case; the same owner appears in launch coverage organizing his employee schedule and ads with his agent, which he named Wall-E.)
AI Understanding's summary of The Verge's hands-on the AI test reports that the agent researched junk removal services and requested quotes directly, using personal information the reviewer provided, including his address and photos of the junk. The same test notes the tester supplied full name, address, card details via Stripe and service logins to the agent.
DoltLite, a SQLite fork with Git-style version control, was built with 2k agent PRs and released in beta.
A second daily run at 7am screens stocks with high relative volume among the day's percent gainers and flags each one red, amber or green for his trading. He reads the flags and makes his own calls.
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.
Elona told her AI 'the AI' her vacation criteria; it proposed Mexico City and offered to book everything. She then requested an iconic luxury property, a direct flight on her preferred airline, and maximized credit-card rewards.
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.