Commenting on the Top 20 post, he says he is in an office football pool where you rank games by how sure you are of the outcome, and he kept forgetting his picks and found it a chore. He gave the AI his login and they worked out rules together: The AI makes his picks each week based on Vegas point spreads and analyst information. The pool site has an awkward interface, and he says the AI handled it well.
Had an agent write an MCP for his SearXNG setup, then do comparison passes against server-side LLM web tools and tweak it; it works pretty well in his own search use.
He lost the source code for his macOS 8 PowerPC programs three decades ago. The AI decompiled the binaries, turned them into a web app, and then converted them to Dylan with OpenDylan.
A maker had the AI design a circuit that shows a picture stored in a memory chip on a standard VGA screen, using common logic chips, and write the chip code for it. He routed the board himself, had it made for $6, fixed the one missed error with a wire, and the board works.
The reviewer set up a scheduled daily AI-news briefing in an AI app as a two-host podcast saved in the app's Library, with an RSS feed for following in a podcast app. It worked, though the newest episode shown was dated two days earlier, flagging a freshness caveat on daily generation.
The AI built a Mumble replacement in Rust from a rough spec in 2 hours; it worked flawlessly on Mac and Windows, he uses it on his LAN, and the AI built a network simulator to fix a latency issue it spotted in logs.
A man had the AI help him write an image organizer and tagger in an afternoon. He is now running it on 20,000 meme photos he saved over the last 20 years. Each photo gets described and tagged for use in LightCraft, the photo app he is building.