From Mystery to Method: Diagnosing Glaze Flaws with AI

Every potter knows the frustration: a glaze that worked perfectly last month now crawls or blisters, and you’re left guessing - was it the clay, the mixing, or the firing? This troubleshooting rabbit hole consumes precious studio time. The solution isn't intuition; it's systematic data analysis. By applying a structured, AI-assisted framework, you can transform flaws from mysteries into solvable problems. The Core Principle: The Comparative Flaw Matrix Stop troubleshooting in isolation. The key is to systematically compare the faulty batch against a historically successful control batch.