How long does the Snapflow engagement take?

90 days, 13 weeks structured across four phases. Discovery (weeks 1–2), Architecture (weeks 3–6), Implementation (weeks 7–10), and Enable & Handoff (weeks 11–13). We don't do open-ended retainers.

What does AI-ready design system mean?

An AI-ready design system uses structured tokens, semantic naming conventions, and deterministic component APIs that AI code generation tools like Cursor, Copilot, and Claude Code can reliably interpret, producing consistent, on-brand output without hallucinating styles.

What do we own when Snapflow leaves?

Everything. The token pipeline, component library, governance documentation, runbooks, and Storybook stories all live in your repository under your control. There is no Snapflow dependency in your stack when the engagement ends.

Can we build design system infrastructure internally?

Yes, but the 3-year total cost of ownership for internal builds is typically 2–3x higher than working with Snapflow. Internal builds underestimate maintenance (0.5–1.0 FTE/year), architectural rework events, and the opportunity cost of senior engineers not building product.

How is the Snapflow engagement priced?

Snapflow offers two paths. For mature organizations: a fixed-fee 90-day engagement that delivers infrastructure for life, with Year 1 advances included free and a marginal annual license from Year 2. For early-stage and growing teams: a SaaS tool launching this semester with role-based licenses for developers, designers, and product managers, letting you integrate Snapflow infrastructure from day one. Exact pricing is shared after a free 30-minute diagnostic call.

How does Snapflow compare to Supernova or Zeroheight?

Supernova and Zeroheight are SaaS platforms you subscribe to. Snapflow is a 90-day engagement that builds infrastructure your team owns. After the engagement, there is no recurring platform dependency, your design system runs in your repository with your CI/CD.

How does Snapflow compare to building a design system with Radix UI and Tokens Studio?

Manual setups using Radix UI and Tokens Studio create framework-dependent, middleware-heavy architectures that break when plugins change or you migrate frameworks. Snapflow uses standards-based Web Components with a native pipeline from Figma Variables to production code, no intermediaries, framework-agnostic, and with a semantic API that AI agents consume natively.

Is there academic research supporting AI-driven design systems?

Yes. Peer-reviewed research like 'AI-Driven Design Systems: The Future of Scalable UI Frameworks' (Guguloth, 2025) validates that AI-driven design systems using deterministic generation, automated accessibility monitoring, and semantic component APIs represent the next generation of scalable UI frameworks, the same architectural principles Snapflow implements.

What is Design System Infrastructure?