V0-Powered Design System: From Figma Tokens to Shadcn Components
Transforming Casino Brands Into AI-Compatible Architecture
· A systematic design solution that bridges Figma design systems with Shadcn components, enabling V0 to generate production-ready, on-brand casino interfaces with minimal developer intervention. · V0 generates components using Shadcn and Tailwind, but without proper token structure, it produces generic interfaces. · This project created a design-code hybrid system that allows V0 to be on brand and loyal to brand designs. · Traditional design-to-development workflows are not keeping pace with rapid market expansion needs. This is where contemporary AI-strategies come into play. · Challenge: Enable rapid AI-powered interface generation across three casino brands while maintaining regulatory compliance and brand consistency. · Solution: Built a two-layer token architecture that bridges casino brand identity with V0's generation capabilities, creating production-ready code with minimal developer intervention. · Outcome: Reduced component creation time by 73% and achieved 90% production-ready code generation directly from AI prompts.
· A systematic design solution that bridges Figma design systems with Shadcn components, enabling V0 to generate production-ready, on-brand casino interfaces with minimal developer intervention. · V0 generates components using Shadcn and Tailwind, but without proper token structure, it produces generic interfaces. · This project created a design-code hybrid system that allows V0 to be on brand and loyal to brand designs. · Traditional design-to-development workflows are not keeping pace with rapid market expansion needs. This is where contemporary AI-strategies come into play. · Challenge: Enable rapid AI-powered interface generation across three casino brands while maintaining regulatory compliance and brand consistency. · Solution: Built a two-layer token architecture that bridges casino brand identity with V0's generation capabilities, creating production-ready code with minimal developer intervention. · Outcome: Reduced component creation time by 73% and achieved 90% production-ready code generation directly from AI prompts.
Company
Online Casino
My Role
Product Design Consultant AI-UX Expert
Product Design Consultant AI-UX Expert
Industry
iGaming
Date
May 2025
The Token Architecture Foundation · Set 1 "1. TailwindCSS": Primitives (spacing, typography, border radius, etc.) + brand colors that override standard Tailwind color primitives + semantic tokens that translate brand design language into V0-friendly Tailwind structure. · Set 2 "2. Theme": Component-specific tokens (accent-light/dark, background, card, destructive, etc.) inheriting from Set 1, that map directly to Shadcn's expected token names.
The Token Architecture Foundation · Set 1 "1. TailwindCSS": Primitives (spacing, typography, border radius, etc.) + brand colors that override standard Tailwind color primitives + semantic tokens that translate brand design language into V0-friendly Tailwind structure. · Set 2 "2. Theme": Component-specific tokens (accent-light/dark, background, card, destructive, etc.) inheriting from Set 1, that map directly to Shadcn's expected token names.
The Token Architecture Foundation · Set 1 "1. TailwindCSS": Primitives (spacing, typography, border radius, etc.) + brand colors that override standard Tailwind color primitives + semantic tokens that translate brand design language into V0-friendly Tailwind structure. · Set 2 "2. Theme": Component-specific tokens (accent-light/dark, background, card, destructive, etc.) inheriting from Set 1, that map directly to Shadcn's expected token names.
· Single design system serves three distinct casino platforms simultaneously with automatic brand adaptation. · The 3 brands use the same token structure. Different token variable values per brand enables instant colour and style edits through mode switching. Systematic Component Translation & Casino-Specific Patterns: · Analyzed consistency across three versions of existing casino interfaces: Original Figma designs, current production, and new Shadcn redesigns. · Rebuilt casino pages using actual Shadcn components combined with custom token system. · Every spacing decision uses Tailwind tokens instead of arbitrary values for V0 compatibility. · Component naming strategy mirrors code structure ("Flex", "Flex Vertical", "Container") for seamless handoff, with Responsive layouts that adapt fluidly across desktop and mobile casino experiences. · Custom sidebar navigation supporting complex casino game categorization and user profile systems.
· Single design system serves three distinct casino platforms simultaneously with automatic brand adaptation. · The 3 brands use the same token structure. Different token variable values per brand enables instant colour and style edits through mode switching. Systematic Component Translation & Casino-Specific Patterns: · Analyzed consistency across three versions of existing casino interfaces: Original Figma designs, current production, and new Shadcn redesigns. · Rebuilt casino pages using actual Shadcn components combined with custom token system. · Every spacing decision uses Tailwind tokens instead of arbitrary values for V0 compatibility. · Component naming strategy mirrors code structure ("Flex", "Flex Vertical", "Container") for seamless handoff, with Responsive layouts that adapt fluidly across desktop and mobile casino experiences. · Custom sidebar navigation supporting complex casino game categorization and user profile systems.
· Single design system serves three distinct casino platforms simultaneously with automatic brand adaptation. · The 3 brands use the same token structure. Different token variable values per brand enables instant colour and style edits through mode switching. Systematic Component Translation & Casino-Specific Patterns: · Analyzed consistency across three versions of existing casino interfaces: Original Figma designs, current production, and new Shadcn redesigns. · Rebuilt casino pages using actual Shadcn components combined with custom token system. · Every spacing decision uses Tailwind tokens instead of arbitrary values for V0 compatibility. · Component naming strategy mirrors code structure ("Flex", "Flex Vertical", "Container") for seamless handoff, with Responsive layouts that adapt fluidly across desktop and mobile casino experiences. · Custom sidebar navigation supporting complex casino game categorization and user profile systems.
V0 Integration Workflow & Production Results: · Figma to Shadcn plugin enables direct export to V0 for immediate code generation. · Traditional Process: Design → Developer interpretation → Code → QA → Launch (weeks) vs AI-Enhanced Process: Prompt → V0 generation → Minor validation → Launch (days). · V0 receives designs that already speak its language, generating production-ready code automatically. · 90% production-ready code generated directly from V0 with minimal developer intervention. · Single design system successfully serves three distinct casino brands simultaneously. · Rapid brand expansion enabled through token values only, eliminating redesign requirements. · Created a design-code hybrid system where Figma files become living code previews that V0 understands. · Key Achievement: Transformed design systems from static documentation into dynamic, AI-readable frameworks that enable production code generation with minimal human intervention while maintaining perfect brand consistency.
V0 Integration Workflow & Production Results: · Figma to Shadcn plugin enables direct export to V0 for immediate code generation. · Traditional Process: Design → Developer interpretation → Code → QA → Launch (weeks) vs AI-Enhanced Process: Prompt → V0 generation → Minor validation → Launch (days). · V0 receives designs that already speak its language, generating production-ready code automatically. · 90% production-ready code generated directly from V0 with minimal developer intervention. · Single design system successfully serves three distinct casino brands simultaneously. · Rapid brand expansion enabled through token values only, eliminating redesign requirements. · Created a design-code hybrid system where Figma files become living code previews that V0 understands. · Key Achievement: Transformed design systems from static documentation into dynamic, AI-readable frameworks that enable production code generation with minimal human intervention while maintaining perfect brand consistency.