VectorFlow: graph-aware model for interface flows and stateful UX generation

AI · 6 min read

Instead of treating screens in isolation, VectorFlow encodes screens as nodes and interactions as edges, allowing the model to reason about navigation, shared components and state transitions. Designers can request flows like "onboarding sequence for a finance app" and receive a sequence of screens with consistent headers, footers and data placeholders.

The model outputs both raster previews and machine-readable flow descriptors that can be imported into prototyping tools. It also supports conditional branching so teams can prototype alternate paths (e.g., error flows, feature toggles).

VectorFlow is particularly useful for larger apps where consistency across screens is crucial. The graph-first approach reduces the “incoherent screens” problem but requires careful prompt design to enforce product logic and data privacy when real user data is involved.