Turn last night's concert setlist into a Spotify playlist in two minutes
The AI took the setlist from a concert the user attended and built it as a Spotify playlist within two minutes.
A random mix from the whole library. Shuffle for a new set.
The AI took the setlist from a concert the user attended and built it as a Spotify playlist within two minutes.
Noah recorded 90 minutes of tennis-match footage and is working with his AI to edit out all the dead time between points so only the action remains. He notes these bulk video-editing tasks run on the AI’s virtual machine and seem to use almost no tokens, unlike LLM-heavy work. The edit was still in progress in the video.
He finished setting up Obsidian so new notes file themselves into the day's folder and link into daily, weekly, monthly, quarterly and yearly notes. The templates behind it were made by the AI, and he says it would have been impossible without it.
He built an automation with AI that runs on Val Town. It reads his Goodreads progress updates and reviews from RSS and cross posts them to bookhive.buzz as AT Protocol records.
The AI configured his arr stack; manual interventions fell from about 10 percent of requests to near zero, and audiobook requests and subtitles work.
A hobbyist designs his own furniture in OpenSCAD with AI, reusing code from earlier pieces. A new design takes a couple of hours including the PDF blueprints, drawn like shop instructions, that he prints so the person cutting his wood panels cannot go wrong.
The AI took a webinar email and made a calendar event for it on its own. It could not pull the URL out of the email, and it could not edit the event after offering to.
Making a Pokemon fan trailer in 2 hours with Opus 5.5, a finished artifact.
Creator Wendell Yu says the AI read his 17 years of Facebook posts and wrote a profile report of his life from them. The segment is the first of five first-hand cases in the video.
Building an NBA stats warehouse without writing any of the code; the agent wrote it.
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.