He had the AI add all the special days from the Pittsburgh Public Schools calendar into the family calendar. It was a win, but the school calendar itself had errors, and he spent 30 minutes working out which day was wrong.
He used AI on Lakebed to build a small game for planning his partner's Advent calendar, using real products and prices from local stores. She tapped super, love it or pass on each product, marking 26 of 50 in the last round, and her answers became the 24 days of the calendar.
A man who runs his own services at home sent his AI an article about a PHP security hole. The agent patched the services that had a fix, stopped the ones that did not, set up a watch for new fixes, and updated and restarted nearly everything as fixes landed through the day.
A rural homeowner had the AI mine months of his circuit-level power-monitor readings against his bills and assemble a packet documenting brownouts down to 95V, then help fill out the Board of Public Utilities complaint - JCP&L called back within two days.
The company that made his home EV charger had gone out of business and none of the default admin passwords worked. After one model refused to help, a long session with another got him into the charger admin console without a password. Replacing the hard wired charger and paying an electrician would have cost him hundreds of dollars, about $800 by his count.
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.
MindStudio tested an AI monitor that watches Autotrader listings and flags cars priced well under market. Scheduled checks deliver deal alerts to Telegram, and a continuity setting stops it re-alerting on the same listing.
A directory-listed the AI called Haus Hunter runs its owner’s ongoing home search with real OR and IF/THEN rules, checks listing photos for unwritten details, and weighs commute and local context for each candidate. It investigates homes the way a good buyer’s agent would, continuously.
The AI reverse engineered the BMPro Smart RV Bluetooth protocol from the APK; he now controls lights, AC, generator and slideouts through his own apps instead of the official app, and also patched the original APK.
He asked the AI to install the Free My TV launcher on his rooted LG TV. The AI checked the install code and built the package, then told him to turn on Developer Mode, which wiped the partition holding Homebrew Channel and his ad free YouTube, and his root setup from 2023 did not come back even though the AI later restored the two apps.
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He had wanted a small Home Assistant remote on an old M5Paper eInk module for 3 years and never built it. The AI did it in half an hour, and the remote now pulls up all his rooms and shows the sensors and buttons he tagged as Remote.
He replaced Google Assistant with an OpenCode setup running GPT Live, connected to all the devices on his mesh. Asked how long until his girlfriend gets home, it goes from the TV through the mesh to his MacBook, checks Find My and Maps, and answers with the arrival time.
The AI, given a Home Assistant API key, watched for the new Bluetooth aquarium thermometer he installed, replaced the broken one's entities with it, and verified graphs and automations worked.
After the AI started managing his home systems, he gave it control of Home Assistant too. It proved good at writing automations and doing the setup, and he later moved Home Assistant into a Docker image.
His old Tuneshine display for album art sat unused because it kept losing its connection and depended on a cloud service. The AI identified the display, ran pin tests, and wrote new firmware, and now a small program on his NAS shows album art or a world clock on it.
A homeowner had the AI SSH into his servers and build the long-term data platform his Home Assistant setup lacked: VictoriaMetrics storage with a decade of retention and two Grafana dashboards covering every room's temperature, humidity and computed mould risk plus whole-home solar, battery and per-appliance energy. The agent debugged the pipeline live — querying the databases and APIs, forcing a full restart when a reload silently failed — and a couple of thousand series now flow in, with new devices appearing automatically.