bRRAInSkills · PROFESSIONAL TRACK — Design
AI UI/UX Design Systems
Convert any design into a token system every LLM respects.
~32 hrs total
Single course
Prereq: None
3 years validity
About this program
Most AI-generated UI drifts because the model has no operating standard to respect. This course teaches you to take any design — a Figma file, a competitor screenshot, a hand-drawn sketch — and convert it into a production-grade token system, component library, and composition rubric strict enough that Claude, GPT, and Gemini all build you screens that match the same brand.
What you'll walk out with
- Extract a full token system (color, type, spacing, elevation, motion) from any reference design
- Publish a component-composition rubric that any LLM can grade its own output against
- Ship a design-system.v1 artifact with semantic color naming and AI-predictable primitives
- Evaluate cross-model consistency on generated UI and close the drift with rubric patches
- Operate the design system as a living spec — versioning, change-log, migration paths
Curriculum
Each module ships with a hands-on lab. The final module is a full generative lab against a simulated scenario.
- 01 · The three layers of a design system (tokens · primitives · composition)
- 02 · Extracting tokens from any reference artifact
- 03 · Semantic color naming and intent-tagging
- 04 · Type scale, spacing scale, elevation tiers
- 05 · Composition rubric authoring
- 06 · Cross-model AI testing — Claude, GPT, Gemini
- 07 · Drift detection and rubric patches
- 08 · Versioning, change-log, deprecation
- Final · Generative lab: ship a token system + AI grade card
Who this is for
- Designers tired of re-fixing AI-generated screens
- Design-ops leads setting standards for AI-augmented teams
- Founders who need one-person brand consistency at LLM speed
- Front-end engineers bridging designer output into AI-built UI
Ready to join the next cohort?
Programs run cohort-gated — we'll route you to the next one that fits your schedule and prerequisites.