You can’t improve an LLM system without measuring it. Why you stand up evaluation before features, the 3-tier architecture from automated metrics → LLM-as-Judge → humans, the four biases of LLM-as-Judge (position, verbosity, self-preference, overconfidence) and how to mitigate them, the tooling landscape (DeepEval, Ragas, Langfuse, Phoenix, Braintrust), and 5 anti-patterns.
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June 20, 2026
1 min read
AI Eval / Evaluation Pipeline Guide
You can't improve what you can't measure. The 3-tier evaluation architecture, LLM-as-Judge biases and mitigations, the tooling landscape, and anti-patterns.