Course 1: Token Architecture + AI Workflow

Understand the cost of weak token architecture, spot early signs that a design system is breaking, and see where AI fits into the workflow.

Go deep on Foundation, Semantic, and Component token tiers so each token value has the right responsibility.

Create a naming pattern that stays readable as the token set grows across categories, variants, and states.

Use Token Studio as the source of truth, push tokens to Figma Variables, and understand the workflow without turning the lesson into a plugin manual.

Decide when Figma Variables are enough, when Token Studio is needed, and how to migrate from Variables to Token Studio.

Use AI to generate semantic tokens, find missing coverage, and create dark mode candidates while keeping human validation in the loop.

Export tokens from Token Studio toward CSS, Tailwind, or Sass and understand the right pipeline for a small team.

Run a structured AI audit across naming consistency, tier boundaries, orphan tokens, duplicate values, and missing UI coverage.

Decide when token changes are breaking, write a useful changelog, and set up a maintenance workflow that survives beyond the first launch.