A random mix from the whole library. Shuffle for a new set.
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.
Free the AI produced an OpenSCAD file he converted to STL and 3D printed a replacement coat hanger joint in 10 minutes, part now in use.
From a photo, the AI identified the user's discontinued drill battery and found an aftermarket replacement on eBay.
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.
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.
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.
A mother built a morning checklist app with AI over about two weeks, running on a server at home. Her daughter checks it on a tablet each morning, and the usual items open on their own from her timetable, so she is less unsure about what to bring.
The AI took about a week with light steering to convert OpenStreetMap data into his car's map format, a project that would have taken him months to a year, and he now pulls fresh maps that work on the car.
A smart home user had the AI create a vector floorplan of his house, then write a small tool where he could drag icons for his lights and fans into place. He set it up in Home Assistant so he can click a device on the floorplan to turn it on or off.
His new hardware device was faulty and the community had spent days looking for a fix that did not need a replacement. He plugged it into his computer, asked the AI to fix it, went to dinner, and came back to find it fixed.
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 man reports that he used his agent that day to find and reserve a parking spot in San Francisco. He had earlier used AI to gather his AWS invoices for a reimbursement.
Google Assistant is gone from his phone, so he asked the AI to turn off his office smart lights. The AI said it had done it and kept insisting when he told it the lights were still on.
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.
A machine-learning user built a bridge ('wand') letting his AI act on his Mac remotely from his phone. The AI reads his Terminal, reports training-run stats like epoch, loss, and accuracy, and can lock the machine on request.
His home WiFi kept acting up, so he asked the AI to diagnose it. The AI ran a script that monitored everything for a week and pinned the problem on his Google Nest Wifi, and Reddit posts backed that up.
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 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.
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 new Kasa bulbs would not talk to Home Assistant, and the problem had sat open for eight months. With the AI talking directly to the devices, they now work, a fix he says he could never have written or fixed on his own.
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.