AI_LLM Testing Complete guide

A complete guide to AI/LLM testing. This guide is written from direct experience developing, deploying, and validating AI agents and LLM-powered features across production environments. It is not academic theory. Every technique, metric, and framework described here has been battle-tested against real failure modes: hallucinations that slipped past regression suites, prompt drift that degraded accuracy over weeks, RAG pipelines that confidently cited deleted documents, and AI agents that looped indefinitely on edge cases. If you are an SDET or QA automation engineer with strong skills in Selenium, Playwright, Cypress, or API testing, you already have the engineering discipline and systematic thinking that AI testing demands. What you need is a new mental model, new oracle strategies, and a structured path to apply your existing strengths to this emerging domain.