A random mix from the whole library. Shuffle for a new set.
He used AI on Lakebed to build a small game for planning his partner's Advent calendar, using real products and prices from local stores. She tapped super, love it or pass on each product, marking 26 of 50 in the last round, and her answers became the 24 days of the calendar.
He dug out a forgotten 50 euro mini PC and put Linux and Pi-hole on it. With the AI and community lists, it now blocks more than 3 million advertising and telemetry domains.
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.
He gave an agent his favorite meals, his dietary limits and the food he has on hand. It makes a weekly food plan and a full grocery list, and he tells it over the week which meals he liked.
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.
Dispatches the AI to update Home Assistant across multiple instances and no longer dreads updates.
Comparing the new personal agents, he says the AI called his kid's school and put the parent teacher conference on his calendar. He still rates the AI ahead of the AI Duet for his own use.
A Tesla owner’s the AI took a Sentry-mode scratch incident end to end: it cut the relevant clip, identified the other car, wrote the incident report and sent the insurance claim. The whole claim package was assembled from the car’s own footage without the owner editing video or forms.
One of several tools he built with AI: a program that listens for the neighbor's dog, detects the barking and logs it to a spreadsheet, so he has a record before he complains.
His corals died but the tank lights still ran a coral schedule. The AI drove a Raspberry Pi over Bluetooth, changed the light and pump schedules, and found the lights had been dimmed to about 35 percent and their clock was 6 and a half hours late, then fixed the time.
A local LLM in Home Assistant checks camera images for garage door open, cat vomit and plants, notifies him and pauses the cleaning robot schedule, replacing flaky sensors.
His family of three uses a local assistant called Sadie, built on a home server so their calendar, photos and messages stay off cloud services. Sadie runs their shared calendar, sends location based reminders, answers texts and emails, searches family photos, and sorts household mail, flagging bills and school deadlines.
He needed a bracket to hold a small LCD above a circuit board. He sent the AI photos of the board and the display, the AI made a 3D print file, and he printed the bracket at the library.
A user set an AI running his friend’s sprinkler system based on weather patterns, and reported big savings on the water bill. The system waters when the forecast says it matters, not on a dumb timer.
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.
A parent of three was copying school, cram school and nursery dates from paper prints, LINE and email into Google Calendar by hand, and nearly missed a field trip lunch. He built Hanamaru: the family posts a photo of a print in Slack, the AI pulls out the dates, and it registers them on the right child's calendar, asking in the thread first when it is not sure.
The AI found a Reolink init tool and took care of enabling and configuring his newly bought RLC-810A cameras that required an app to set up RTSP.
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.
Over four weeks of evenings, an AI agent wrote the firmware, the live web chart, the Node-RED automation and the enclosure CAD for his radar stair light, driving a live Fusion 360 session through its scripting API. He reviewed, printed and measured, and the second half of the video lists what the agent got confidently wrong, including a radome gap that landed on exactly a quarter wavelength.
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.
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.