Building AI Evaluation Pipelines: Automating LLM Testing from Dataset to CI/CD

Part 2 of a series on testing AI systems in production In Part 1, we explored why testing AI systems is fundamentally different from traditional software. We talked about non-determinism, prompt sensitivity, and why unit tests aren’t enough. Now let’s move from theory to practice. How do you actually build a system to test AI reliably? This post walks through a practical approach to building an AI evaluation pipeline —from dataset creation to CI/CD integration. What is an AI Evaluation Pipeline?