A random mix from the whole library. Shuffle for a new set.
Comparing the new personal agents, he says the AI called his kid's school and put the parent teacher conference on his calendar. He still rates the AI ahead of the AI Duet for his own use.
The AI one-shot a custom web dashboard to control his Samsung AC system.
He gave an LLM the list of boards he had, and it helped lay out the CAD and the cut list for a piece of furniture he wanted, working through OnShape's MCP. He says it got him using hand tools more this week than any week in the last year.
He gave the AI his TV model number. It found the TV on his wifi, removed 25 Xiaomi packages and wrote a new launcher, so the TV now looks like an Apple TV.
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.
The maker said his new Leica DISTO D2 laser measure did not work with Linux. He and the AI worked out how to connect it to his Linux computer anyway, so he can capture data for his new apartment.
The AI helped flash his router with OpenWrt, including running an exploit itself and instructing the UART steps to load the binary permanently.
He finally connected the AI to his Home Assistant setup and spent the day changing all of his automations. The AI also made an overview of how many cups of coffee they brew, which he called totally useless but fun.
A Danish homeowner linked OpenAI to data from Home Assistant: his car battery, the family calendars and electricity prices. Every morning he gets a small report with advice on when to charge the car and when to wash and dry clothes.
A hobbyist says the AI assembled the firmware running his living-room lights and fans: an ESP32 web server driving a radio transmitter. It also built him a Streamlit app to explore the signals, and the code is public on GitHub.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.