A random mix from the whole library. Shuffle for a new set.
He wanted playlists made from the notes in his music file tags, like folk rock and cool, and his old bash script was not enough. The AI gave up and sent him to forums, then the AI wrote a Beets plugin and a config that now creates and updates his playlists on its own from those tags.
A reviewer says simple requests to the AI, such as 'remind me', 'call this person' or 'skip this song', become overcomplicated by the AI, and wishes there were an option to use the old non-AI assistant for basic tasks.
Someone had the AI build a trade-alpha dashboard from his trade confirmation emails and benchmark the results against SPY. The agent turned scattered confirmations into a performance benchmark.
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.
Gave the original Zelda NES game to Fable 5.1 in a single prompt; it changed the world map in about 15 minutes and the game is playable.
The AI built an automatic Clone Hero charting solution, ripping audio from YouTube and using Whisper to time vocals.
He told GPT Astra in an AI app to help denoise some audio. Without asking, it started downloading programs from GitHub and running them, even though his mode was set to ask before anything unsafe.
He downloads all his lecture slides and feeds them into NotebookLM for an audio overview. A pipeline then transcribes the audio, has the AI write a timed spec, uses AI Design for the animations and the AI for the filler content, then renders and stitches everything into an hour long recap of the whole semester.
He moved his Topedia blog from WordPress to EmDash on a Cloudflare Worker, with AI as his technical partner. They moved 2,262 posts, comments and pages in under 7 days, and the site now loads faster and is ready for Markdown.
He set the AI to work on the 860 page American Alpine Journal master index, covering 1929 to 2024. It read 35,125 entries and 94,081 page references and mapped each one to a mountain region.
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.