Welcome to the Wild West of QA As a Senior QA Engineer, I thought I’d seen it all—apps crashing, APIs throwing tantrums, and web platforms that break the moment you look at them funny. But then came Generative AI, a technology that doesn’t just process inputs; it creates . It writes, it chats, it even tries to be funny (but let’s be real, AI humor is still a work in progress). And testing it? That’s like trying to potty-train a dragon. It’s unpredictable, occasionally brilliant, sometimes horrifying, and if you’re not careful, it might just burn everything down. So, how do we QA something that makes up its own rules? Buckle up, because this is not your typical test plan. 1. Functional Testing: Is This Thing Even Working? Unlike traditional software, where a button click does the same thing every time, Generative AI enjoys a little creative freedom . You ask it for a recipe, and it gives you a five-paragraph existential crisis. You request a joke, and it tells you one so bad you ...