Blog
Insights on repeatable AI workflows and the future of executable methods.
March 20264 min read
Why Multi-Step AI Workflows Need a New Language
MTHDS is an open, typed DSL for defining multi-step AI workflows. Methods are executable: install one, run it from your terminal, pipe it into another. Think of it as turning LLM workflows into proper UNIX tools. Pipelex is the MIT-licensed runtime, shipped as a Claude Code plugin.
Louis ChoquelRead more →
February 20266 min read
The Know-How Graph
Skills gave agents reusable guidance: portable, natural-language instructions that steer behavior. But they have no types, no validation, no guaranteed output structure. That’s why we built MTHDS: an open standard for typed, validated AI workflows with deterministic orchestration.
Louis ChoquelRead more →