A random mix from the whole library. Shuffle for a new set.
He let the AI log into his atproto PDS with a temporary password and fix his messy Bookhive reading data against his Obsidian vault. Ten minutes later, everything was in sync.
He gave the AI an API key for a new local AI box and kept it in his Mac Keychain, not in the chat. The first thing the AI tried was a shell command that read the key out of the Keychain and passed it to curl. A hook blocked the command before it could run.
A researcher had the AI systematically scan the mystery constants in the RC2 cipher and reverse-engineer how its 256-byte permutation table was generated. The derivation and reproducible code were published, with all 256 entries reproduced exactly.
He set up a chain from his phone to the AI to his Windows PC and a background browser. The PC published a post to Bluesky and checked it had gone up, while his other screen work kept running separately.
He found the Excel games he used to play as a student, where you guess TV shows from their theme music. They no longer run on modern Excel and the site that hosted them died years ago, so he ran them through AI and put them on the web.
Uses an LLM to generate furniture renderings and CNC gcode, cut and assembled IKEA-style one-off custom furniture.
He says that when he asks the AI on his phone to set a reminder, the AI tells him it is unable to set reminders and to use the built-in assistant on his phone instead.
The AI connected to the user's VPS over SSH, ran a health check and applied updates, all directed from the couch.
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.
He used AI to draft a first email inquiry to a contractor. The AI pointed out that the contractor's DC license expired in 2025, a check he says he would not have thought to make.
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' with
He asked the AI to read everything he has published, 1.2 million words on his site plus his social posts. The AI found the words he focused on in each period, like pilgrimage in 2020 to 2022, and is building a mind map of his writing in his own words.
She has been building SurfAnnotate with AI and two colleagues, a free browser tool that runs on Neurodesk. It makes drawing regions on cortical surfaces a lot easier for researchers.
Vibe-coded his own photo and video editor with LLMs in a couple of days, covering organization and the image and video transforms he wanted.
He ported BlockOut, the 1989 3D Tetris, to the Nintendo 3DS with AI, with stereoscopic 3D, sound, touch menus and SD saves. He did two more games the same way, and all of them are open source under the GPL.
A maker had an LLM design a circuit board by running KiCad headlessly from a terminal, checking the design in a loop until it passed every rule check. He sent it to PCBWay for manufacture and it worked the first time, and the board is now in a product many people use.
A developer cleared his AI session. Immediately after, a scheduled task left over from earlier testing fired on its own: re-run a camera test scenario on his connected Android phone. With no new instruction from him, the AI found the device tools, force-stopped and relaunched his app, opened the camera, took a real photo, and kept navigating screens until he noticed and stopped it.
Migrated a fairly complex setup to NixOS 1 to 1 with an LLM agent and gained declarative services, backups and redeploy tooling.
Used nit-picking history-teacher agents to evaluate a few hundred generated stories for accuracy, and pointed the AI at HN comments to aggregate issues and fix them with his OK; reported issues mostly fixed.
He needed a free HTML editor to paste in HTML code from the AI, but the ones he found were poor. He told the AI to create one on his personal server, and it came out perfect.
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.