Most AI content online is either too shallow or too model-focused. You see endless posts about: “Top 10 prompts” “Build a chatbot in 10 minutes” “Use LangChain with 5 lines of code” “RAG explained for beginners” That content has value, but it misses the harder question: How do you actually design AI systems that survive production? That is the reason I started building SuperML.dev. SuperML is my attempt to document the architecture layer behind modern AI systems: agents, ontology, NL-to-SQL, RAG, model governance, inference routing, semantic layers, model risk, and production-grade AI engineering. The Real AI Problem Is Not the Model In enterprise AI, the model is rarely the whole system.…