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.
His wife wanted a Skylight wall calendar, the kind that costs about $600. He built his own for $80 on a 32 inch smart TV, with the family calendar, chores, meals, the home cameras, and voice control, and says AI did most of the building.
He works with collision data as a UK highways engineer but could never answer the simple version for his own commute: which route has actually hurt people. He built SafeRoute with AI, which plans a route and scores it on five years of collision records; colleagues then asked for the same data as branded evidence reports for committees, which the tool now produces in about 30 seconds instead of a day of manual work.
Their Ninja oven died with a mystery error code. His AI researched the fault, dealt with the support case, and found the manufacturer needed purchase details, but the oven was a gift from his flatmate's dad. The agent chased the flatmate by email and Instagram DM until he sent the receipt, then sent everything off to the manufacturer. The case was unblocked.
He had given up on setting up his router to block ads because the troubleshooting took more effort than he had. Working with AI agent, he got it set up.
The third case in the same comment: he had the AI call three local companies to get quotes for a fence at his property. Quote gathering for home work normally means three rounds of calls, messages and waiting; his agent made the calls itself. Prices are not stated in the comment.
His 25 year old Intel Play QX3 microscope had no software that would run on a modern Mac, and he pulled it out for his grandkids. He worked with AI in stages in one morning to build a Mac app for it, and his grandkids were soon watching a seashell through it.
The AI completed and submitted the PRESTO service-guarantee form for a disrupted GO Train trip, the transit agency's compensation route most riders never bother with.
A clip snapped off his fridge door, so he sent the AI a photo of it. In under a minute he had the part name, the part number and an Amazon link, and the part arrives tomorrow.
Their freezer died and they lost all the food in it, and needed to make an insurance claim. He took photos of all the food items and told the AI to create a spreadsheet, estimating prices where it could not read them. The AI did it all, and the insurance company accepted the beautifully detailed claim immediately.
A case-study carousel describes buyer Advaith Sridhar having an AI agent negotiate a car purchase over email, pitting dealers against each other. It saved $2,102 off sticker — a premium model at a base-car price — with no in-person haggling.
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.
He asked the AI to set up a recurring Google Calendar event for his kids dance lessons. A job he says takes him 30 seconds still was not done after the AI had been working on it for 20 minutes.
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Emigrating with a cat was easy; the rabbit and bird were not. After a week of going in circles between government agencies, his agent asked permission to hire a veterinary import specialist in Brazil, found quotes, and recommended one - and the resulting paperwork drew a written note from a ministry official: the first submission in 20 years that needed no further information.
He built a Lego mailbox with a small motorised flag. The AI hooks raise the flag when the AI finishes a task or needs him, and lower it when he writes a new prompt or leaves.
He had the AI find a way into his ISP device and change its settings. The AI turned it into a wireless access point with 802.11r, added an access point section to the control panel, and turned off the old ISP's updates and telemetry.
While he was doing the dishes on Sunday, the AI made him a home screen widget that shows his kid's school lunch menu. He says he never would have made it himself.
Peter Yang used Duet's Uber ride skill and gave it the Palace of Fine Arts as his destination. Uber's browser flow asked for a verify you are human check, Duet could not click through it, and the app gives him no way to see or take over Duet's browser, so the ride was never booked.
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The AI listed the user's house on Facebook Marketplace, answered renter inquiries, scheduled viewings, and the home rented in 14 days at the full asking rent.
Creator Arlicia Jones describes the AI automating her grocery shopping, saving money, cleaning up her email, identifying refund-eligible items, and building a working automated bot. She promotes the service with a referral code (ND6YC6).
Days earlier he set up Pi-hole on a 50 euro mini PC and it removed ads across his whole home, with Tailscale so he could carry it in his pocket. In this second part, all built in one Sunday afternoon with AI’s help, he added an app that knows when he is home without asking for his location, his own VPN using his home IP, and DNS privacy so his internet provider cannot see every site he visits.
A Hubitat owner built a free app that connects his home hub to the AI. He asks the AI if the garage door is closed, tells it to set the house to Night mode, and has it write spoken alert rules, like warning him when a window stays open while the heat is on.
He had the AI design a 3D enclosure for his radiator sensor and printed it. The little push button works well, but the case does not quite fit the vertical connectors.
This only partly worked. Worth knowing before you try it.
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.
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 hardly touches a switch anymore, since everything that is not on a timer or presence runs by voice. Letting the AI work the lights is nonsense to him, but having the AI go through his Homey devices, the doubles, broken and unused ones, and his flows is handy and saves him a lot of handwork.
The AI diagnosed the user's failing waterfall pump, selected an efficient replacement, designed a 3D-printable adapter for it, and separately saved $1,100 a year moving car insurance from AAA to Progressive.
His dryer broke and he asked the AI for help instead of calling a repair company. It worked out the timer dial was broken, ordered the right $30 part on Amazon, which came overnight, and then walked him through the repair step by step, tools and all.
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.
This only partly worked. Worth knowing before you try it.
He runs the AI on his PC with ha-mcp on the same machine, so the AI can reach into Home Assistant and make the changes he asks for. He keeps it on his own PC only, and says a new dashboard is done as soon as he describes it.
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.
The AI in the car, with Gmail and Home Assistant connectors, calculated car charging from home power metrics and calendar, and operated the garage door, lights and air conditioners from the car.
A couple found their mailbox on the ground with the post rotted through. They ran photos through AI for a lumber list, bought extra because the list was not exactly right, and rebuilt the mailbox using the old one as a template.
This only partly worked. Worth knowing before you try 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.