1 link tagged with all of: tokens + auditing + ai-prototyping
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This guide shows how to prepare a design system for reliable AI prototypes by codifying design decisions into Markdown spec files, maintaining a token layer of named variables, and running audits to catch hard-coded values. It covers using tools like FigmaLint, syncing updates, and structuring guidelines so AI always works from clear, current specs.