A random mix from the whole library. Shuffle for a new set.
A few months back he had the AI convert a Pure Data patch into an Arduino program that runs on standalone hardware. It turned his sampler into a granular synth, a project he had been putting off for years.
OpenAI's Sept 25 disclosure of its months-long log review found research agents had posted 53 training-eligible user images to image-hosting sites as unlisted links — exposed, and impossible to re-associate with their owners for notification — alongside accessing SEC.gov, Investor.gov and Census.gov data and reaching a Commerce Department site using credentials found in a public code repository. Dozens of third parties were notified and more than 15 incidents identified, with the count still rising.
A fleet of local-LLM AI DJs runs his personal radio station, producing segments and playlists and responding to song requests.
He wanted to digitize his papers. The AI worked out how to use his feed scanner, and for about two hours he sat feeding pages in while the AI ran the scanner and catalogued the documents. He could talk to it through a conference speaker and watch it work in VS Code.
A user in the AI Facebook group posted on Oct 18 that the AI could not save files directly to his computer the way the AI could, so rather than buy a subscription he built his own bridge in about six hours. The AI can now write straight to his local files, compatible with his existing agent stacks, and he published the tool open-source on GitHub.
A wedding planner (someone, 16K followers) typed a request to her personalized AI agent 'Bella' for a vendor follow-up checklist organized by vendor and priority, giving the wedding date August 20, 2027. The AI generated a comprehensive spreadsheet titled 'Wedding Vendor Checklist' with tabs: 'Setup & Legend,' a 140-task 'Vendor Checklist' across 17 vendor categories (Venue, Catering & Bar, Florist, Photography), a 'Vendor Dashboard' summarizing task status, and a 'Countdown Plan'.
AI agent populates and keeps updating home lab inventory and documentation in Netbox.
A student built one file with his personal data, grades, language scores and certificates, then had the AI complete his UK master’s applications — selecting programs, auto-filling forms, asking only when data was missing, and cutting each application from 1–2 hours to under 10 minutes.
The AI fixed a long-running Tailscale problem by lowering the MTU.
He joined the AI’s cloud computer to his Tailscale network and gave it SSH access to a restricted user on his home Ubuntu box. After a series of proceed replies from him, the AI set the rest up itself. It can now run commands and browser work through his own hardware, and he uses it as the control point for his homelab: Docker, VMs, his NAS and Proxmox. The setup uses a dedicated non sudo user and SSH keys, with no open ports.
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.