His new hardware device was faulty and the community had spent days looking for a fix that did not need a replacement. He plugged it into his computer, asked the AI to fix it, went to dinner, and came back to find it fixed.
His kids have always been disappointed that Super Mario Bros. for the NES does not have two player co-op like the 21st century Mario games. Today he got the AI with Opus 5.5 to make a two player simultaneous mod. You can pick Mario, Luigi, Toad or Peach, and it works on a real NES.
He retired his Nest cameras and had the AI (alongside OpenCode) configure Home Assistant and the camera software on the PCs already in his rooms, Linux and Windows alike, so the household computers now double as his in-house camera system, checkable while traveling - no doorbell-cam subscription.
He built air quality management for his home studio, all scripted by AI. An AirGradient sensor feeds CO2, temperature and humidity into Home Assistant, which boosts ventilation, kicks on the heat pump, or runs the humidifier when the air drifts from comfortable.
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.
A man's clock needed a battery that was not a standard size, and the compartment needed a screwdriver to open. He took a photo of the clock and sent it to the AI, which worked out what battery the clock takes and ordered it from Amazon.
He made a pocket money app for his children. Parents post chores with a payout, the kids get them on their phones, and the quickest to tap accept wins the job. The child adds photo evidence, the parents approve it, and the app totals the week's money on a leaderboard, paid in cash on Friday.
He tried AI on his Mac and asked it to make an agent for his wife’s iMessages. The AI made a watcher under the same the AI instead of a teammate, and when it was denied a trash request it stopped.
This only partly worked. Worth knowing before you try it.