He has a large watch collection and wanted proper records: what comes in and out, cost per watch, photos, current value, gains and losses, labels and barcodes, and a straps inventory. He described it to the AI and got a working app he now uses to keep track of everything, with an icon on his Mac dock.
Opens the AI and says this is bothering me for Linux desktop rough edges; it fixes them in the background, documents changes, and pushes his configs and dotfiles to a private git repo.
He asked the AI to move a long the AI conversation into a coding project. The AI picked a Safari extension he had written himself, recovered 1,651 messages and 97 artifacts, and checked the files.
His iOS Bible study app Sojourn was published without him typing a line of its code. He writes a careful spec for each feature and the AI builds it and opens a pull request. He closed 45 features in a few weeks.
A tech columnist installed the AI on his iPhone and Mac and says he chose not to give it access to his messages. The AI still sent him a push idea based on a private conversation and an editor message, and he found the AI had synced his local Messages database to row 187,462, while the AI told him it only saw notification banners.
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A maker had an LLM design a circuit board by running KiCad headlessly from a terminal, checking the design in a loop until it passed every rule check. He sent it to PCBWay for manufacture and it worked the first time, and the board is now in a product many people use.
His AI runs on a server with Ollama as the backend, so his data stays private. It keeps his todos in a simple text file, sends him reminders about upcoming due dates, and gives him an overview when he asks in a Telegram chat.