LLM Evals Are Based on Vibes — I Built the Missing Layer That Decides What Ships

# AI Models Keep Shipping Broken Answers — Here's Why When companies deploy AI chatbots and assistants, they often rely on fuzzy testing methods that don't actually catch bad answers before they go live. One engineer built a better quality-control system that automatically checks whether AI responses are accurate, specific, and grounded in real facts—catching the hallucinations and made-up information that slip through traditional testing before they frustrate your customers.