A random mix from the whole library. Shuffle for a new set.
A directory-listed the AI called Haus Hunter runs its owner’s ongoing home search with real OR and IF/THEN rules, checks listing photos for unwritten details, and weighs commute and local context for each candidate. It investigates homes the way a good buyer’s agent would, continuously.
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.
His HP Color LaserJet Pro M252dw from around 2016 refused to print because its certificate had expired, and searching Google did not help. The AI talked him through the fix, then wrote a script that made a locally signed certificate, uploaded it through the printer's web page, and saved the script in his personal knowledge base, all in about 15 to 20 minutes.
He built a household app with AI that holds the family calendar, shopping list, chore rotas, house documents, and push notifications. The family uses it daily, an update in the thread says it survived a move to a new host with its 147 releases intact, and he calls it probably the best thing he has made with AI.
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.
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 couple found their mailbox on the ground with the post rotted through. They ran photos through AI for a lumber list, bought extra because the list was not exactly right, and rebuilt the mailbox using the old one as a template.
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.
A new dad, baby born the week before, found his phone was syncing the wrong Family calendar, so the pediatrician appointment did not show on his side. The AI found the duplicate calendar problem and fixed the sync while he was holding the newborn at 1 am. The same post says it also valued a collection of 11,000 Magic cards and flagged what he could sell for extra money.
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.
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.
ESPM professor Wilson Silva had his AI agent research ten auto repair shops, send them photos and videos of his car, request quotes and rank the options while he worked. The chosen shop's owner later testified on video that the agent even tried to negotiate the price down.
He asked the AI to deal with a broken LG appliance. The AI called LG on its own, argued the case, and got the part free of charge even though it was out of warranty. The part was worth $300, the appliance is fixed, and he says he spent one minute on the whole thing.
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.
LLM helped develop in about 10 minutes a tray app that watches for a USB device and switches the TV input via the LG API; he no longer touches the remote.
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.
A commenter in a hardware reverse-engineering thread says he had the AI develop a working Bluetooth CUPS driver for his Canon Zoemini 2 mini photo printer. Canon only supports the printer from smartphones, so the driver made it usable from his Linux machine.
Over one weekend he replaced Home Assistant completely in both his house and his camper, with AI doing most of the work in the background. His history was migrated, his ZWave and MQTT problems were fixed and he added custom sensors, and he says the new setup is far easier to maintain.
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.
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.
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.