Luna finished the doorbell panel software that answers calls and shows the video
Luna finished an ESP32 SIP client for an in-wall touch panel that rings when someone is at his doorbell and lets him answer calls and see video.
A random mix from the whole library. Shuffle for a new set.
Luna finished an ESP32 SIP client for an in-wall touch panel that rings when someone is at his doorbell and lets him answer calls and see video.
An engineer gave the AI his house drawings, the original solar plans and a Powerwall expansion permit (mostly PDFs plus DXF files) after a contractor was slow to quote, and the bot produced a complete 17-page B-size permit drawing package in under five minutes, including a roof layout and one-line wiring diagrams drawn from scratch. He checked every line himself and planned to submit once a licensed engineer stamped the structural parts.
He set up saved searches on Cars.com, Carvana and CarMax with his makes, models, price, year and features, and favorited cars on each. The AI merged them into one list, checked price guidance, mileage, consumer reports, recalls and reliability, named his ten best and ten worst, and removed the bottom ten from his favorites. They repeated the rounds until the list was tight, then refined by color and features. He test drove two cars from the list. While he was out, the AI checked the stock of two dealerships he drove past, just from him naming the brands nearby, and found one more match. Every morning it reruns the searches, removing cars that sold and adding new ones.
Vancouver Tesla owner Devin Olsen used AI in his car to order Starbucks while Full Self-Driving drove, confirming the drink and total by voice before the AI placed the order for pickup on arrival. He described it as the first time the car felt like it could run an errand with him.
Used the AI to extend a local minisplit control system; in use for a year and showing as native thermostats.
Got the AI to implement TPAP compatibility in Swift purely by interacting with his local plugs and response shapes plus RFC 9383, figuring out it was SPAKE2+ and the password hashing steps.
He scans a whole list with schedules for his daughter and tells the AI to add them as events in his Google Calendar. The AI adds them, and the job is done.
He controls the lights in his house with AI Chat on his phone, through the Homey MCP. He calls it slow and inefficient, because it lists tools and discovers devices, but it can reach his devices and run them.
He built an app with AI that reads his solar inverter and batteries, forecasts tomorrow's solar generation and household use, and emails him a report. It sets the battery charge level for the overnight cheap tariff based on the forecast.
Two e-bikes were stolen after his garage was left open by accident. He set up closing on its own when the door stays open for 15 minutes, and in his own reply on the thread he says he bought a ratgdo control board and the AI wrote and installed the new firmware, so the AI now has full control of the opener and can disable the remotes.
Her boiler had stopped heating the water. She sent the AI about 15 pictures step by step, followed its instructions to turn it off, switch a few handles and reset the pressure, and the boiler worked again.
A user built a custom the AI skill that remote-starts their car, reports EV battery level and monitors charging status from any chat. They published the skill because nobody else had made one for it.
He took an ESP32 board out of its bag and, with AI setting it up, had it sending his van's battery, charging, and solar data over Bluetooth and MQTT to Home Assistant in 5 minutes.
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.
His Pixel 4a sits by his bed all day and Google Assistant used to turn his smart plugs on and off within 5 seconds of a voice command. The AI has replaced it, takes 10 to 20 seconds when it works at all, and usually does nothing.
He had been designing wooden bookshelves and cutlery cabinets in FreeCAD and finding it hard work. He used AI to make the designs and send the results to FreeCAD, and got fully parametric designs and cutting lists in minutes rather than days.
A farmer's John Deere combine had an electronics fault for days and a paid Deere mechanic could not find it. Working with AI, he built a test suite that read the machine's CanBUS messages and the traces from his oscilloscope, and compared both against a second working combine. They found two faulty controllers and the machine runs again.
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.
Kilsonmoon sent the AI a photo of a neighborhood water-pipe cleaning notice: The AI identified when his street would be cleaned, added it to his calendar, set a messenger reminder for the day before, and relayed the precautions — close the valve, avoid running the washing machine. It also found the full schedule on the water utility's website and registered ongoing monitoring so future notices trigger automatic alerts.
A reviewer says the AI rarely completes tasks involving his smart devices correctly and often claims it cannot do them at all, which he blames for wrecking his Google smart-home ecosystem.
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.