I love this topic. Thanks for joining in this reading! For years, regex-based rules have been the foundation of language quality assurance (LQA). They’ve helped catch inconsistencies, formatting issues, and even translation errors. I’ve been a huge fan of regex for many years—it’s a powerful tool. But here’s the problem: What if we go beyond regex and introduce QA rules that understand language at a deeper, semantic level? This is exactly what NLU Rules are designed to do. And AI […]
