Hamel Husain's blog provides a comprehensive guide for AI teams on streamlining AI evaluation using the concept of Critique Shadowing. The post outlines a step-by-step method to build an LLM-as-a-Judge system that aligns with business goals by involving principal domain experts, generating diverse datasets, and iteratively refining the evaluation process. Emphasizing simple metrics, expert critiques, and error analysis, the blog details how careful data examination rather than complex judges creates business value.