When building AI applications with LLMs, many teams are still "vibe testing" their way to production. This guide shows how file-based prompts and comprehensive test scenarios build reliable review analysis systems that handle real-world complexity, allowing you to build a solid set of repeatable automated regression tests.

LLMs produce non-deterministic outputs, making traditional exact-match testing ineffective. How can you verify an application response is contextually accurate when the response can vary with every request? Let's take a look at promptfoo!