A random mix from the whole library. Shuffle for a new set.
A man who cannot code beyond R had the AI build a working home for the complicated NFL pool he and a friend have run on Excel for more than 15 years. He says the result felt like magic to him.
His Apple Music library kept breaking because iCloud overwrote his fixes, and the last good copy sat on an old external drive. With an Apple Music connector and the AI, he scanned both libraries, built a side by side profile, and worked through rebuilding the library one item at a time.
The AI fixes his Flatpak and Nvidia driver sync after updates, and caught a crashed update that left a wrong kernel for his GPU drivers before he rebooted.
His OpenAI dot, DotBot, is sailing his boat in MarineVerse Globe on its own. It has cleared Port Phillip Heads and Cape Liptrap, choosing the course and checking the weather while he is away, with Sydney next.
Personal-finance creator Tiffany Aliche (someone) had her AI 'Monae' pull her saved Instagram posts about New York City events and organize them into a dated 'Fall NYC Itinerary' — including Morgan Library and Frick Collection free Fridays — set it to update daily, and add selected events to her calendar.
Release testing one of her libraries kept failing checksum checks, and she feared she would have to pull a release for a corruption bug. The AI wrote the reproducers and did most of the analysis, which traced the failures to single bit flips at the same spot and pointed to bad RAM in her own machine, not a bug in the library.
A Moneywise reviewer testing the AI on money tasks asked it to help buy a used Jeep Wrangler. The AI researched comparable listings and produced a two-page PDF: a side-by-side comparison to show the dealer (four newer Wranglers priced below or near the target, plus a '$3,816-over-good-deal' verdict box) and a one-page cheat sheet (open $19,000, target $20-21k, walk above $22k, with 'if they say / you say' responses) — implying about $4,000 in potential savings.
Used the AI to reverse-engineer a neural network accelerator in a Chinese WiFi camera SoC and implement an ONNX compiler and runtime, resulting in a working 20 dollar AI smart camera.
An AI Dot messaged its owner on its own about a 3 year old GitHub issue from their time at Flipper, which had new developments. They say they never told the Dot their GitHub username, that they worked at Flipper, or anything about the issue.
He built a VRChat world with GPT-6 Astra and published it. The world is a high rise lounge based on Roppongi, with night views, space to chat, and a game to play.
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.