A random mix from the whole library. Shuffle for a new set.
He needed his address history for a co-op application and had struggled to dig out leases from a decade or more back. The AI searched more than 20 years of his Gmail and built a spreadsheet listing his addresses back to 2006, with links to the emails behind each date and a flag on the dates that were only a guess.
Dispatches the AI to update Home Assistant across multiple instances and no longer dreads updates.
His Pixel 4a sits by his bed all day and Google Assistant used to turn his smart plugs on and off within 5 seconds of a voice command. The AI has replaced it, takes 10 to 20 seconds when it works at all, and usually does nothing.
He scans a whole list with schedules for his daughter and tells the AI to add them as events in his Google Calendar. The AI adds them, and the job is done.
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.
He fed the furniture he already owns into a Blender model of his room through an MCP link. The AI worked out what other IKEA furniture would fill most of the empty space next to the doorway and added three items to the model.
XAI's the AI Voice 3.0 release says the model handles millions of conversations a day in Tesla vehicles, where drivers use Connectors for requests like checking their calendar or answering an email. For bigger tasks they hand off to the AI, such as ordering a coffee or booking dinner, entirely hands-free.
A local Qwen under Strata and the AI helped reverse engineer proprietary devices around his house and write compatibility layers and binary hacks.
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.
His local LLM runs permanently as a Home Assistant agent with agentic access to his sensors, answering voice queries about his solar and battery data and creating automations.
A couple keep a shared spreadsheet of shows coming soon, being watched, finished and dropped, plus their thoughts on each one. The AI reads and writes the sheet, adds picks from a list of autumn shows with reasons why they would like them, and will tell them when a show is out.
The AI reverse engineered the BMPro Smart RV Bluetooth protocol from the APK; he now controls lights, AC, generator and slideouts through his own apps instead of the official app, and also patched the original APK.
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.
He needed quotes for a seasonal tire swap, with the winter set already on rims, and did not want a day of phone tag. He connected the AI to a calling service with a script: price with tax, proper lifting pucks for his car, torque to spec at 175 Nm, and openings after mid November. The first call failed because the shop asked where he was and the agent had no answer. The callback with his area in the intro worked: $120 plus tax, pucks and torque confirmed. Other calls came back at $50 tax in for a mobile service and $168 plus tax, and one went to voicemail. Every call produced a full transcript. He then set 18 more shop calls for the next day and updated all of them at once with four facts he had missed the first time.
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 told the AI to scan his home network for his Samsung Frame TV and replace the picture in its art mode. The AI found the TV and swapped the picture.
Niraj Rajgor's unused 10th generation Kindle is now a photo frame. Working through AI over Wi-Fi, GPT-6 Astra built tools to run custom software on the Kindle and installed a slideshow app that cycles ten photos, four minutes each, and picks up where it left off after sleep.
The AI set up a complex Home Assistant routine with lights and motion sensors from a description, working when he walks past the sensor.
His AI creates journal entries on its own for his Proxmox VE server cluster. The entries work as the change log for his home lab.
TP-Link has no official way for an agent to control its Tapo devices, so he took the app apart, worked out how it talks to the lights, plugs, sensors and cameras on his home network, and built a connector the AI can use. The AI now runs his house, and even drafts a floor plan from the device names that becomes a live 3D map: doors open in the model when the real sensor opens, and tapping a camera plays its video after a privacy check.
Josh Dubowsky gave the AI access to his whole home folder: it inventoried 9,412 files, proposed a plan, and — only after his approval — sorted 312 problem files into six plain-language folders, renamed files readably and deleted duplicates he approved. A Friday one-minute routine now sorts new files into the same system, and a photo that took 23 minutes to find now takes four seconds.
Vancouver Tesla owner Devin Olsen used AI in his car to order Starbucks while Full Self-Driving drove, confirming the drink and total by voice before the AI placed the order for pickup on arrival. He described it as the first time the car felt like it could run an errand with him.
He used AI to fix a CarPlay bug in his car's Android head unit. He gave it the piece of hardware and it worked out how to talk to it and fix the bug.
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.
He gave an LLM the list of boards he had, and it helped lay out the CAD and the cut list for a piece of furniture he wanted, working through OnShape's MCP. He says it got him using hand tools more this week than any week in the last year.
The AI, given a Home Assistant API key, watched for the new Bluetooth aquarium thermometer he installed, replaced the broken one's entities with it, and verified graphs and automations worked.
In the same week as his treadmill buy, a SpaceX launch engineer says his AI got several quotes for new car tires, paid for them, and scheduled the install. No prices or shop names were shown.
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.
He made a pocket money app for his children. Parents post chores with a payout, the kids get them on their phones, and the quickest to tap accept wins the job. The child adds photo evidence, the parents approve it, and the app totals the week's money on a leaderboard, paid in cash on Friday.
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.