A random mix from the whole library. Shuffle for a new set.
His baby monitor had about 9,000 photos and videos of his son's first three years, but saving them meant clicking each one by hand. He had the AI write a script that downloaded all of them in 45 minutes.
He gave the AI with GPT-6 Astra the measurements of his kids room and what it needed, a divider and a desk for each kid. It built the layout, rendered it in Blender, and made a complete shopping list with the exact furniture models and a ceiling rail for the curtain.
The AI in the car, with Gmail and Home Assistant connectors, calculated car charging from home power metrics and calendar, and operated the garage door, lights and air conditioners from the car.
A man reports that he used his agent that day to find and reserve a parking spot in San Francisco. He had earlier used AI to gather his AWS invoices for a reimbursement.
He is beta testing an AI agent, and it renewed his car registration for him. He says how much time it saved is debatable, but the renewal got done.
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 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.
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 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.
Home Assistant sends a bin camera image to the Anthropic API, gets JSON for which bins are visible, notifies him which bins to put out or return, and lights a color LED Bindicator; the AI configured the automations via MCP.
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.