WHAT DOES DESIGN SYSTEM AI READINESS MEAN, ANYWAY?

Summary from the TLDR Design newsletter

Making a design system AI-ready requires more than machine-readable documentation, design tokens, MCP servers, and agent skills. AI agents need constraints that guide them toward approved components, patterns, and implementation rules while reducing opportunities for inconsistent or invented solutions. The real measure of readiness is whether AI can participate in the design process without lowering quality, with human judgment remaining essential wherever tacit knowledge and context cannot be fully encoded.