The AI priced my garage junk, wrote the listings and posted them. Cash in 2 days.
A man asked the AI to sell the junk in his garage. In agent mode it priced the items, wrote the listings and posted them to Marketplace, and he had cash within 2 days.
A random mix from the whole library. Shuffle for a new set.
A man asked the AI to sell the junk in his garage. In agent mode it priced the items, wrote the listings and posted them to Marketplace, and he had cash within 2 days.
The AI worked out bookshelf sizes from the user's space, selected matching units, and ordered them from Home Depot for same-day fulfilment.
He had the AI find a way into his ISP device and change its settings. The AI turned it into a wireless access point with 802.11r, added an access point section to the control panel, and turned off the old ISP's updates and telemetry.
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.
A hobbyist says the AI assembled the firmware running his living-room lights and fans: an ESP32 web server driving a radio transmitter. It also built him a Streamlit app to explore the signals, and the code is public on GitHub.
He had wanted a small Home Assistant remote on an old M5Paper eInk module for 3 years and never built it. The AI did it in half an hour, and the remote now pulls up all his rooms and shows the sensors and buttons he tagged as Remote.
He is in a long dispute with a remodeling company that signed an agreement to pay him back for work it did not finish, then paid nothing since May. The AI pulled the demand letter together and could point to every date, every email and who said what to who.
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.
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.
The AI listed the user's house on Facebook Marketplace, answered renter inquiries, scheduled viewings, and the home rented in 14 days at the full asking rent.
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.