A random mix from the whole library. Shuffle for a new set.
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.
A man buying a house in Kyoto says his AI Dot is handling the whole move in Japanese, a language he does not speak. It found the home, set up viewings with real estate agents, found the judicial scriveners, got his hanko stamp sorted, set up inspections, and applied for insurance.
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.
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.
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.
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.
A user built a custom the AI skill that remote-starts their car, reports EV battery level and monitors charging status from any chat. They published the skill because nobody else had made one for it.
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.
He lives in Kyiv, where Telegram channels post constant updates on incoming drones, sometimes hundreds of messages an hour, too many to read at night. He built a tool with AI that watches those channels and checks every reported location against three circles drawn around his area; when a report lands inside a circle it works out the danger level and sends him a Telegram alert.
From a list of jobs his AI runs day to day: it watches when registration opens for their kids workshops and books a spot automatically when it does. Workshop places go fast, and he treats this as one of the ongoing jobs, not a one off question, that the agent quietly handles for the family.
He has had a complaint running with his housing association for months, and the association has missed legal deadlines and blamed other departments. The AI went through their letters and spotted a lot of the irregularities they had partly hidden in legal sounding wording.
From a photo, the AI identified the user's discontinued drill battery and found an aftermarket replacement on eBay.
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.
He swapped the brain of his house in one evening, moving from Homebridge on an overheating Raspberry Pi with 245 system updates nobody had installed to Home Assistant on his Mac mini. The AI does the upkeep now, and a motion sensor finally works.
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 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.
A man's clock needed a battery that was not a standard size, and the compartment needed a screwdriver to open. He took a photo of the clock and sent it to the AI, which worked out what battery the clock takes and ordered it from Amazon.
The open-source 'burner' project gives the AI a real spare Android phone (Android 11+). The agent uses the phone's apps exactly like a human would — opening them, tapping, typing, scrolling — and sends the user screenshots, extending its reach to marketplaces and shopping apps with no website or API.
The same man took a photo of a clock this morning and asked the AI to buy replacement batteries. The AI identified the clock from the photo, found its instruction manual, worked out which batteries it takes, and ordered them from Amazon.
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.
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.
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.
His young daughter lost the small cap from a water bottle she likes a lot. He asked the AI to design a replacement, printed it in 3D, and says it works perfectly.
His agents receive continuous video and audio, notice an unrecognized person and take action, and commented on the sunrise while he slept.
His AI skill was built from his earlier renovation sessions and loads on its own whenever he mentions the house, the contractor or an invoice. It carries the project context, the key contract clauses and where every file lives, holds a step by step invoice verification checklist, and drafts his emails in a language that is not his own, with a pre-send check that every number matches the project register.
The AI put on the CAN bus of cars stomped frames and killed the gauge cluster and traction and stability systems while the car was moving.
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.
His kid’s school run means two trains or a bus, with the right choice spread across three apps. He built an Android app with AI that pulls live train times, wait times, disruptions and traffic into one screen and recommends which way to go.
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.
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.