A random mix from the whole library. Shuffle for a new set.
The writer is applying for a lead pipe replacement grant. His dot read an email from his builder and told him it did not meet the requirements for the grant he is applying for, flagging the gap before it cost him the application.
A man who runs his own services at home sent his AI an article about a PHP security hole. The agent patched the services that had a fix, stopped the ones that did not, set up a watch for new fixes, and updated and restarted nearly everything as fixes landed through the day.
Josh Kahn replaced his family's kitchen whiteboard with a TRMNL e-ink display that shows the family Apple calendar, a dinner menu calendar, and the weather. GPT helped him build and refine the custom Liquid templates behind the plugins, and the display now stays up to date on its own.
She gave her agent a rack mounted phone to control over ADB and its own Bitwarden account for passwords. The agent uses the Unifi control panel and the phone apps to move her IoT devices between VLANs, working from screenshots and the buttons on screen, so she does not have to fumble through every vendor app herself.
No app fit what his father needed, so the AI wrote a bare bones dialer in about an hour. It only shows accept and reject buttons, and he says it is perfect.
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.
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.
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.
A hobbyist has the AI or the AI write ForgeCAD code that creates 3D models he prints. A ring to hold the bag in his compost bin went from a multi week project, learning Fusion 360 in spare hours, to a good prototype in 60 minutes, and a cover for his overheating doorbell took a photo of the doorbell, dimensions from the maker’s site and 3 or 4 prints to get right.
He redid his office after quitting his job and put a spare Roku TV up as a photo frame. The AI built the photo display app in a couple of minutes, so he did not need the $4 a month app from the Roku store.
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 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.
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.
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.
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 buyer ran an eight-bot the AI crew for his car purchase: over nine days a SCOUT bot watched 1,412 listings, a VALUER bot built a price curve, and a HAGGLE bot sent 11 messages to the dealer. The dealer came down $4,200.
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.
His LLM agent reviews his robot vacuum's images and either sends the vacuum out or suggests moving things that would foul it up; works great.
His kid's transcript was not going through, so as a last try he asked the AI to make a cleaner version of it. The cleaned version uploaded fine.
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.
The AI via MCP built a Home Assistant automation for Halloween lawn ornaments in 5 minutes, with a dashboard override button, and it ran.
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 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.
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 built a home dashboard with AI that pulls a dozen sources into one wall screen for the whole family. It shows the shared calendar, weather warnings, solar and battery levels, car charge and bin days, and it only brings things up when they matter, like bins out tonight or a frost warning.
AI built his renovation material list and looked for discounts, saving about 2,000 dollars (watch for fuller sibling telling 50013796, dedupe by case facts at merge).
He used AI to build a Firefox add-on called FunData for Funda, the Dutch home listings site. It shows CheckJePlek data for each rental or purchase home, plus two map layers with land registry and livability data.
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 built a Homebridge plugin with AI that lets him turn his server on and off from Apple HomeKit for free. He says he does not know the first thing about coding.
The AI and the AI re-created a Tesla data tool in Go from an existing codebase at his request; he has used the new tool for 5 months and it works well.
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.