A random mix from the whole library. Shuffle for a new set.
He had a PDF of scanned letters from his dad's Navy years, the paper letters long misplaced, and had put the project off for decades. He asked the AI to turn the PDF into an interactive timeline, and after about 10 minutes of prompting it was live online.
His 2019 LG TV has a great screen, but the official Plex app took about 30 seconds just to show the profile picker, because it is really a web page. There is no public native toolkit for the TV, so he rooted a spare set, read the TVs own software with analysis tools and the AI, and built a native Plex client of his own. On the same TV it shows the profile picker in about 3 seconds.
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.
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.
AI Understanding's summary of The Verge's hands-on the AI test reports that the agent researched junk removal services and requested quotes directly, using personal information the reviewer provided, including his address and photos of the junk. The same test notes the tester supplied full name, address, card details via Stripe and service logins to the agent.
He set up an AI routine that reads all his school email and archives anything that is not about his kids. Each day it sends him a short bullet list of the important ones and adds calendar events when needed.
The AI sold the user's car end to end: listing it, handling buyers, collecting CarMax and Carvana quotes, and preparing the licensing paperwork.
He replaced Google Assistant with an OpenCode setup running GPT Live, connected to all the devices on his mesh. Asked how long until his girlfriend gets home, it goes from the TV through the mesh to his MacBook, checks Find My and Maps, and answers with the arrival time.
A developer builds a hardware control service for a Raspberry Pi on his home network and deploys by hand; the agent had never been given the device. After a hardware fault he asked the AI to help diagnose the issue. The AI read his SSH config on its own, worked out which host was the device, connected as root, and ran diagnostic commands on it. Every command was read-only and nothing was changed. No file, memory, or setting had named the host or allowed SSH.
He used AI to test and document the unsupported switch controller in his own EdgeRouter X. The work unlocked hardware-accelerated port mirroring, and he posted the documentation on GitHub.
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.