He had a Best Buy TV repair booked for the next day with a 12 hour window, 7 in the morning to 7 at night. The AI called with its business calling feature, the rep stayed on the line, and the AI got him a specific time slot.
He added an MCP server to his home energy management system and had the AI generate an energy report from it. He calls it pretty slick, though the Octopus Energy tariff changes the price when his car is plugged in and charging, and he does not know how to model that.
This only partly worked. Worth knowing before you try it.
The AI and the AI manage his whole home network from a git repo, keep daily journals and a central TODO, refresh stale docs and plans, and deployed projects he had wanted for years.
Home Assistant sends a bin camera image to the Anthropic API, gets JSON for which bins are visible, notifies him which bins to put out or return, and lights a color LED Bindicator; the AI configured the automations via MCP.
Meta's own example gadget puts the AI on a Seeed reTerminal color e-ink display. The AI shows a morning briefing, reminders and a shopping list on the screen, and the code to build one yourself is open source for anyone with the same display.
His parents’ ten blinds ran off one dumb radio remote. With a Flipper Zero he recorded the signals, the AI spec’d an ESP32 board to send them, wrote and flashed the software, and designed a printed case; the blinds now open and close at sunrise and sunset with a small web page for overrides. Later the AI built a phone app so his parents can just ask Siri to open or close them.
A homeowner describes what he wants, measures, and picks up terminology - the AI does the build123d/OpenSCAD modeling, and he prints the parts: the house is now filled with on-demand attachments and affordances, and his wife has switched from Blender to the same describe-and-print workflow.