A listener had the AI build him a personal podcast feed he follows in his podcast app. Each day it looks for one episode he would actually enjoy, based on his taste and recent talks, and skips the day if nothing is good enough. It downloads the pick, writes out the words locally, finds the sponsor blocks and cuts them out, checks the joins, and adds the episode to his private feed with a note on why it was picked.
Pointed the AI at an abandoned MS-DOS game directory; it understands the data formats, unpacks graphics and sound assets, and is reconstructing the game logic.
This only partly worked. Worth knowing before you try it.
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.
Two vendor provided Windows programs had annoyed him for over 4 years. He pointed the AI at the Windows binary and converted each one to Python running on Linux, about a day each, weird RS232 protocols and everything, and it worked.
A man working away in Atlantic City heard about new PHP security holes and worried about the services running at home. Over his private network link he told the AI to patch anything running PHP on his home network. Ten minutes later everything at home was patched.
The AI can create, snapshot, delete, start and restart VMs on his garage Proxmox box and spin up spot instances for hardware tests he does not have locally.
He had the AI download every video still left on a Twitch streamer’s channel, since Twitch only keeps archives about three months. The AI ran OpenAI speech-to-text twice for about $80, then made an HTML page summing up the public background the streamer had mentioned on stream.
A builder created a skill that converts a user's Instagram saved collection into a private, searchable personal library. Every saved post is deep-read by vision AI, and everything runs on the user's own machine.