Stop LLM-as-a-Judge: You Need Compiled Assertion Graphs

Using frontier models to evaluate LLM outputs is slow, expensive, and non-deterministic. Compile natural-language evaluation rubrics into fast, deterministic, short-circuiting assertion graphs. Written by Dax Kansara for the India Draft engineering blog. This article explores practical systems for building reliable AI products, developer tools, and production software. The goal is simple: replace fragile workflows with observable, testable, maintainable architecture that teams can operate with confidence.