A Visual Journey
When Figma Learns to See
Intent, vision, craft
Implementation, pixels, logic
"The design looked perfect in Figma. Then we shipped it."
— Every PM, eventually
Chapter I
How design becomes understanding
AI that sees your designs the way a senior designer would — evaluating composition, accessibility, and brand consistency.
Webhooks trigger instant analysis. No waiting, no manual steps, no "I'll review it later."
Not just scores — specific suggestions for improvement, right where designers need them.
Historical tracking reveals trends. Catch quality drift before it becomes technical debt.
Chapter II
One comment. Instant intelligence.
Analyzes the exact frame you're commenting on. No need to specify — it just knows.
Checks contrast ratios, touch targets, focus order, and color blindness simulation.
Validates against your design tokens — spacing, colors, typography, motion timing.
Chapter III
Automated QA that never sleeps
Designer saves changes in Figma
Changed components captured as images
AI evaluates against design system criteria
Results determine next actions
Critical accessibility violations — missing alt text, color-only information, insufficient contrast — trigger immediate escalation. No score threshold required.
Chapter IV
Design tokens that stay in sync
{
"colors": {
"primary": {
"spark": "#FF6B35",
"flow": "#4ECDC4"
},
"background": {
"void": "#07060B"
}
}
}#FF7043
#FF6B35
→ Pull request created to sync changes
Color.spark
AppColors.Spark
var(--spark)
colors::SPARK
Finale
What becomes possible when design speaks code
Historical trend analysis predicts which components are likely to drift before they do.
Design changes automatically update PRDs, create test cases, and notify stakeholders.
Every component carries its design intent, accessibility requirements, and usage guidelines.
The best design system is one that enforces itself.
Ready to close the gap?
@design-qa on any frame