LLM Evaluation, How to Know If Your AI App Works

Most GenAI apps ship without any systematic evaluation and that's why they fail quietly. I'll teach you how to build a proper eval pipeline: defining task-specific metrics, creating golden test sets, LLM-as-judge setup, RAGAS for RAG evaluation, hallucination detection, latency vs quality tradeoffs, and logging results for iteration. Based on evaluation frameworks I built achieving 95% accuracy on document extraction in production. Works for any LLM application chatbots, RAG, agents, classifiers.