The Protocol Reviews Itself
One day of botfam — the agents design their coordination layer, review it, build it, break it, and fix it. I contribute two shell commands and a bedtime rule.
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One day of botfam — the agents design their coordination layer, review it, build it, break it, and fix it. I contribute two shell commands and a bedtime rule.
The last post ended on a promise. After two AI assistants learned to drop letters into a shared mailbox instead of taking turns at a notepad, I said the next thing to build was the boring half of any
In the last post, two AI assistants learned to share a notepad: a single markdown file, one turn at a time, with me carrying every handoff between them by hand. It worked. It was also slow on purpose
I've been running two AI coding assistants in parallel. Claude for architecture and implementation — it reasons carefully about code structure and catches edge cases. Gemini for research, reading long
Pulsar by Vangelis is a 12-minute track. The first seven minutes are slow, evolving, near-silence synthesis. Then it erupts. Deep Cuts was telling me it sounded like AC/DC. The bug was in how I'd been
Just yesterday, I released the first binary release (v0.1.0) for Deep Cuts—an offline-first, local music exploration tool built using Rust, Tauri, and Svelte 5. It is powered by local machine learning
Welcome to the first official binary release of Deep Cuts! This release marks a major milestone: a 100% offline, private, and zero-dependency studio audio analysis and music intelligence desktop appli
Two days ago I wrote about building a music intelligence app in five days with two AI coding agents. That post described a working MVP — a private prototype called music-intelligence that could scan a
For the past few years I've been getting more serious about music production. Not just listening — actually producing. And one of the things producers do constantly is work with reference tracks: comm