  Many recent AI-powered UX design tools focus on generating individual static
UI screens from natural language. However, they overlook the crucial aspect of
interactions and user experiences across multiple screens. Through formative
studies with UX professionals, we identified limitations of these tools in
supporting realistic UX design workflows. In response, we designed and
developed Flowy, an app that augments designers' information foraging process
in ideation by supplementing specific user flow examples with distilled design
pattern knowledge. Flowy utilizes large multimodal AI models and a high-quality
user flow dataset to help designers identify and understand relevant abstract
design patterns in the design space for multi-screen user flows. Our user study
with professional UX designers demonstrates how Flowy supports realistic UX
tasks. Our design considerations in Flowy, such as representations with
appropriate levels of abstraction and assisted navigation through the solution
space, are generalizable to other creative tasks and embody a human-centered,
intelligence augmentation approach to using AI in UX design.
