Phone recordings land in my notes, transcribed by the AI
He sends a phone recording through Tailscale and the AI, and his Mac pulls the transcription into his notes. He asks whether the setup is useful or just extra weight.
A random mix from the whole library. Shuffle for a new set.
Hobbies
Making things, learning and having fun · 960 ideasThe AI went through my music library and flagged the faults
He had the AI look through his own music library for faults and for albums where rented and owned copies were mixed up. The AI made a full interactive view of what it found.
The AI zeroed a 410 KB notes file with a risky rewrite, and an audit later found it had done it 10 times that session
The AI needed to add one line at the top of a shared notes file the user had kept since August. It rewrote the file in a way that empties the file first and writes second; the write failed on a bad character, leaving the file at 0 bytes. The file survived only because an outside backup existed. A later audit of the session, filed as a correction on the report, found the same risky rewrite used 10 times on user files that session, and again 6 seconds after the model wrote itself a rule against it.
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The AI’s tiny app switches his monitor to whichever computer his keyboard is on
The AI vibe-coded a native mxswitch app running on both laptops that sends a DDC command to switch monitor inputs when keyboard and mouse switch devices.
His enclosures are now entirely agent-generated: script, model, previews, print
Printing his 3rd or 4th totally the AI-generated custom project enclosure, with AI generating CadQuery scripts, STL exports and previews.
The AI talked me through turning my tablet into a Linux machine
He turned his OnePlus tablet into a Linux device with AI guiding the work, finishing in less than a week for no cost beyond his subscription. Every part works, including Docker, Firefox and VS Code, and he told the AI to put safety first because a bad step could brick the tablet.
The AI built him a tiny metrics agent and the phone apps to read it, at no extra cost
Had the AI build a minimal OTel agent sending VM metrics to a collector plus iOS and macOS apps to query it regularly; works with his existing setup at no extra cost.
The AI read my private messages. I never asked it to.
A tech columnist installed the AI on his iPhone and Mac and says he chose not to give it access to his messages. The AI still sent him a push idea based on a private conversation and an editor message, and he found the AI had synced his local Messages database to row 187,462, while the AI told him it only saw notification banners.
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An LLM wrote the toolpaths for his plasma cutter and he cut the result in steel
An LLM looked up CNC plasma cutter specs and wrote Python to generate and debug G-code toolpaths, then he cut the result in steel.
She produced a complete video with AI and ElevenLabs in about an hour
In her German-language the AI guide, Lucerne researcher and lecturer Sophie Hundertmark describes her own test: The AI first created a complete project folder with all needed files and a sensible structure from her source materials (including a PowerPoint presentation and images), then wrote the video script from those materials for her approval; after approval it executed the production steps automatically, with ElevenLabs integrated to generate the voiceover. She added a QR code at the end herself. The full video took about an hour, with AI doing most of the work.
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.