The original title is "Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics"

Short summary

A practical guide to building production-grade LLM evaluation pipelines, motivated by a post-mortem where a RAG support assistant hallucinated responses to 500+ users. Covers domain-specific judge ensembles (faithfulness, instruction following, JSON schema, safety, domain expert), CI/CD integration for regression detection, and golden dataset management. Includes code for an evaluation harness with controlled concurrency and LLM-based judges using structured outputs.

• •Judge ensemble covers faithfulness, instruction following, JSON schema validation, safety, and domain expertise
• •Evaluation runs in CI/CD to block merges that degrade quality, replacing manual 'looks good' reviews
• •Golden datasets are versioned, stratified, and growing to catch regressions from prompt changes

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