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 music fan had the AI pull all 17 years of his listening records from his streaming history service, so the data now lives on his own machine. A few days later he had it build a personal browser that shows what he listened to each month, drops one time plays and noise tracks, and lets him queue songs to his home speakers in one click.
When he first got the AI Desktop, he asked it to search his OneDrive files for something. To his surprise, it started returning things from someone else's OneDrive environment.
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The AI in Chrome found the games he had ordered, created notes, downloaded the cover images, added metadata, and put the games into his BoardGameGeek account.
He had the AI build a blog site out of his own Mastodon posts, and the blog is live. A Python script fetches the posts, tidies them up and pulls threads together into single posts.
A builder created an agent skill that files a user's saved Instagram reels into topic collections. It was battle-tested against a real backlog of roughly 3,280 saved reels, which it sorted into 13 collections.
A builder created a skill that converts a user's Instagram saved collection into a private, searchable personal library. Every saved post is deep-read by vision AI, and everything runs on the user's own machine.
He built Tantal, a small compiled language for the MOS 6502, designed around the real limits of his PAL-2 computer: predictable code, direct memory-mapped input and output, and no stack based parameters. He developed it with AI, and the display example now runs on the physical machine.
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.