A random mix from the whole library. Shuffle for a new set.
Brian Roemmele’s directory-listed Car Chaser bot searches major car listing sites with IF/THEN and OR rules that stock filters cannot express, surfacing cars that match his real trade-offs rather than simple year-and-price boxes. It is an ongoing conditional search, not a one-time query.
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 Home Assistant setup polls every 5 minutes, and that polling was killing his Solis Cloud uploads. Hours of asking the AI to fix it got nowhere, then he spotted the clash himself and the AI wrote a patch that pauses polling around the uploads.
The AI set up a complex Home Assistant routine with lights and motion sensors from a description, working when he walks past the sensor.
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.
He needed his designs as 3D files he could print. The AI created the renders in Blender via MCP, then optimized the files for his printer.
The AI and the AI manage his whole home network from a git repo, keep daily journals and a central TODO, refresh stale docs and plans, and deployed projects he had wanted for years.
He gave the AI SSH access to his Proxmox homelab and his UniFi router and told it to run a security audit. It found a lot of holes to patch, work that would have meant juggling more than 12 terminals and containers by hand.
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.
A man had a poor quality home plan from the previous owner. For about $1 of his usage quota, the AI converted the drawing into 3D, changed the room he wanted to redo, made a few visual options, built a shopping list from his local store with budgets, and put it all on a local web page. He says the same job done the normal way would take a package of apps, trained people and at least $10,000.
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.