N’003 — Design System + AI Assembly Pipeline.
Design System + AI Assembly Pipeline
One system, 13 agents, zero hardcoded values. A complete component library for a data intelligence platform — paired with an AI pipeline that reads Figma and produces ready-to-ship code, automatically enforcing every rule in the system.
Client
Project Type
Timeline
Role
Overview
Reduced handoff cycles by 100%. Engineers receive code that already follows every governance rule — no back-and-forth, no interpretation required. Designers start reviews from something correct rather than something approximate. The system scales without degrading because it doesn't rely on people remembering the rules.
The Brief
Most design systems are a library. This one needed to be a set of rules — and those rules had to be enforceable without relying on human memory. The challenge was building a component system expressive enough to cover a complex data intelligence platform, then creating an AI layer that could actually use it correctly at scale.
Every visual decision had to be traceable — same name in Figma, same name in code, no translation layer between them. The AI pipeline couldn't be allowed to cut corners or invent one-off solutions that would silently break the system weeks later. Speed mattered, but not more than correctness.
Designed 77+ components across 3 architectural layers with a token system where every color, spacing value, and shadow had a canonical name — then built a 13-agent AI pipeline on top that could only produce output within those rules.
Decisions
Tradeoffs
The rigid token system means the design system is harder to override for one-off experiments. Accepted that tradeoff because consistency at scale mattered more than flexibility for edge cases — and the AI pipeline amplifies any inconsistency it's allowed to produce.
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