A random mix from the whole library. Shuffle for a new set.
A local Whisper model on his iMac writes out an episode with timecodes. The AI 2.5 reads the transcript, marks the ad blocks, and sends the timecodes back as JSON so his app can build a cut list.
He built a Word document of cheat sheets for 40 songs for a gig the next day, each song title in Heading 1 style with the lyrics and chords below. He told the AI to sort the pages by that heading text, keeping the text as it was, and the AI could not do it. He says the graphics in the document block the sort.
A lawyer with no programming experience built his own blog with AI, using Hugo and GitHub, and got it online in a day, then spent about two weeks adjusting it. He also set up a flow that shares each new post to his Mastodon and Bluesky accounts on its own.
He used AI one time to code a JavaScript bookmark that opens Google Calendar to a 7-day view starting on the most recent Monday. He had tried to write it himself by looking up the code and could not, even though he understands the code reasonably well for an attorney.
A man took the Amiga game he built in Baghdad in 1993, written in 68000 assembly, and had the AI Fable 5 read the code and port it to Godot. The port took an evening, a few more weekends got the feel right, and he released the original game for free alongside it.
Pointed a fully local agent at his collapsed Pleroma instance that had run out of storage mid-upgrade; the agent got it back up and running.
A professor took the PID control demo from his own book and had the AI build it as an eight mission 3D flying game for his students. Students predict what the drone will do before each flight, and he checked every mission against his book version before it went live.
A home server owner had the AI study his running server and turn the setup into Ansible files, which they refined together until it worked. The AI also wrote a small tool that unlocks the server encrypted disk from another machine, which he now uses.
Worked weeks on an AI-generated, human-guided proof of Hilbert-Smith with a complete 100k LOC Lean4 formalization, rushed out after OpenAI's release.
Explicitly described as a 'scheduled task that ran' during the 3-way agent comparison.
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.