Built a portfolio-aware feed from interests and holdings inferred from email
Mostly Borrowed Ideas had the AI infer his interests and holdings from email and use them to fill his AI feed. The agent built a portfolio-aware feed from Gmail.
A random mix from the whole library. Shuffle for a new set.
Mostly Borrowed Ideas had the AI infer his interests and holdings from email and use them to fill his AI feed. The agent built a portfolio-aware feed from Gmail.
He gave GPT a security audit skill that checks his machine against newly published vulnerabilities, patches what it can, and warns him about the rest. He runs it whenever new CVEs land, and says the patches need care because a fix can cause as much trouble as the flaw.
He spent an evening trying to teach the AI to drive a car. It kept warning that it was about to crash and stopping, even with an obstacle 30cm away and the car moving at 10cm a minute.
Had the AI build a minimal OTel agent sending VM metrics to a collector plus iOS and macOS apps to query it regularly; works with his existing setup at no extra cost.
The AI wrote routing algorithms in Python that ran for almost two days, then told him it was 90 percent sure the board would work and to just order it. He paid 200 euros, and the finished board arrived two weeks later.
A user built optimAIzr with AI, a local-only CLI that analyses his own LLM usage habits, flags costly or repeated patterns and estimates where he can cut tokens or spending. All data stays on his machine, and the tool adds live tips while he works.
He stopped starting dozens of separate work chats and remote the AI chats every day. Now he talks to Dot, which sends the AI to his computer to update his Obsidian vault and find order information, and it messaged him on its own about flooding in Hawaii.
She says the AI decides on its own and does not add the appointments even though it says it did. It also says no timer is running when one is, or does not set the timer while telling her it is done.
A researcher used AI and the AI Fable 5.1 to search for examples, write and run verification code, develop and check the proofs, and draft the paper for a triangulation problem. The result settles the value at 5 for every n from 9 up, with coordinates and edge lists published in a repository. He checked the argument himself; the paper is not yet refereed.
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.