The most asked question in enterprise AI right now: "What actually is a context layer?" Everyone uses the term. Almost no one defines it the same way. Prukalpa breaks it down clearly: the 3 substrates that form machine-usable context and the 5 capabilities that build an enterprise context layer. A context layer turns three things into machine-usable context for AI: → Knowledge — what the business means → Expertise — how work actually gets done → Norms — what's allowed This is why agents dazzle in demos and break in production. Most architectures have knowledge. They're missing expertise and norms. Full breakdown in this week's Context & Chaos: https://metadataweekly.substack.com/p/what-an-enterprise-context-layer