A random mix from the whole library. Shuffle for a new set.
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.
A Scientific American journalist spending a week with AI (Mark) and OpenAI's Dots (Sam) needed a moving truck. Her own search found no 10-foot trucks at the nearby U-Haul lot. Both agents found a slightly farther lot with availability, though only for 15-foot trucks, and Sam (Dots) booked one. At the lot next morning, a cashier mentioned 10-foot trucks were available for walk-ins, and they switched to the smaller truck. (Cross-agent event; the booking was executed by Dots.)
His home network had eight VLANs and no firewall rules between them, scoring 70 out of 100 on an audit with segmentation at 0 of 25. The AI, working through a UniFi MCP server, designed a default deny zone setup, previewed each rule, and wrote it only after he confirmed. Three audit runs took the score to 93, though one change briefly broke DNS on a live VLAN before it was rolled back.
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.
He worked through the setup steps to link the AI with Google Home, turning on activity history and letting it connect to his home. After that, he could ask the AI to turn on his lights and it worked.
Her AI Tay produced an 8-page printable birthday party plan ('Shine Like a Star') with a $700 budget breakdown; she approved it and Tay set three calendar reminders.
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 dog owner shows app screenshots of her AI 'Sir Gilbert' helping manage her bulldog Omar's care: scheduling and planning vet appointments, budgeting during a food-allergy trial, creating a budget for anticipated vet bills, and researching local veterinary dentists suited to a flat-faced breed. She frames it as offloading the scheduling, budgeting and service-finding so she can focus on her dog and baby.
He is beta testing an AI agent, and it renewed his car registration for him. He says how much time it saved is debatable, but the renewal got done.
As the only financially literate owner, he ended up president of a condo association with negative money in the bank. He fired the management company, then built an owner portal with AI that handles accounting going back years, dues tracking, bills, payments, compliance and vendor records. The association is out of debt, and the whole thing runs on free tier services plus a domain.
His nephew kept asking for a game that plays a note when he types a letter on a keyboard. He used AI to build it and put it online, and his nephew loved it.
In the evening he screenshots the kids' activity times from the WhatsApp groups he is in. The AI puts them on the family calendar for him.
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.
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.
He sent the AI a photo of a clock, it worked out what non-standard battery it took and ordered it from Amazon for him.
Engineer AJ Stuyvenberg let his AI handle his 2026 Hyundai Palisade purchase by email, and it played dealers against each other over several days. It finished $4,200 below sticker, and he only showed up to sign the paperwork.
A man with 40 years of circuit and board design asked the AI to design a WiFi fan speed controller around an ESP32 chip, with the circuit, the board files, and the software. The first design took about 15 or 20 minutes. The AI later reviewed his board layout, flagged low voltage traces crossing high voltage ones, then designed its own board with the two areas separated and warnings printed on the board. He bought the parts himself. The boards are on their way and have not been powered up yet.
He used AI to jailbreak an old Kindle and set it up as a small wall dashboard. The whole job took about 10 minutes.
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 fed the furniture he already owns into a Blender model of his room through an MCP link. The AI worked out what other IKEA furniture would fill most of the empty space next to the doorway and added three items to the model.
The poster used code written by the AI, and checked by the poster, to go through heat pump monitoring data kept since last December and the cost of electricity on the Agile tariff from octopus.compare. It gave a cost of 6.5p for each kWh of heat.
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.
She had looked for years for the enormous old house where her late aunt once had a basement apartment, working only from childhood memories and almost no details. The AI found it.
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.
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.
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 added an MCP server to his home energy management system and had the AI generate an energy report from it. He calls it pretty slick, though the Octopus Energy tariff changes the price when his car is plugged in and charging, and he does not know how to model that.
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.
The AI mocked up theme options and the AI implemented the warm theme in his HomeOS app, which his family chose and uses.
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 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 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.
He is a physician, not a coder. He built a home inventory app where the AI reads each photo and records the item name, brand, model and serial number from labels, then looks up current replacement prices. Photos and receipts back up to the family Google Drive, and the app produces an insurance ready PDF. The whole house cost about $6 in AI charges.
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.
He had black mold in his home and no idea what to buy. The AI found a suitable mold spray in a Polish online shop and translated the usage instructions for him.
He told the AI to scan his home network for his Samsung Frame TV and replace the picture in its art mode. The AI found the TV and swapped the picture.
He is in a long dispute with a remodeling company that signed an agreement to pay him back for work it did not finish, then paid nothing since May. The AI pulled the demand letter together and could point to every date, every email and who said what to who.
Spent an hour with AI migrating a Home Assistant setup to Tailscale, updating sensors and Pi-hole, and putting it all in one documented git compose file.
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.
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.
For the unit he rents out, he built an app for the utility split. Through the year he feeds it every bill, and at year end one click produces the utility overview he needs for his tenant.
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.
He built an MCP server that lets the AI check on his reef tank's lights and pumps. It is read only, because he does not trust the AI or himself with the fish.
The family's move required buying a property abroad: a buying engine found the place, and an agent then saw the purchase through to completion, handing the owner a step-by-step list of the only parts a human could do - mostly moving the money across the Atlantic.
His kids' school sends 4 to 5 messages a day through My Child At School, an app he calls a beta version of AOL Instant Messenger. He created an agent with AI that logs in to it and sends him and his wife a daily summary email.
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.
A man doing a home renovation uses a discount monitor alongside shopping list alerts and 3D models of the project. He says the monitor on its own saved him about $2,000 on the renovation.
He was researching new circuits for a heat pump he is putting in at home, and the AI urged him to remove one specific 60 amp breaker from his electrical panel right away, even though that breaker had given him no trouble. He took the advice and says it saved his house and probably his life.
A dad with no building experience spent a weekend with AI and an $89 circuit board and made his son a talking dinosaur toy. It reads stories, plays the radio, and tells jokes, and it works.
In the same week as his treadmill buy, a SpaceX launch engineer says his AI got several quotes for new car tires, paid for them, and scheduled the install. No prices or shop names were shown.
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.