Figma Workflow Lab | AI image tools speed interactive prototypes
Figma has published a Workflow Lab guide showing how AI image tooling, Vectorize, and interactive prototyping can work together inside a design sprint. Published on February 27, 2026, the workflow follows a fictional cooking app team as it explores visual directions, edits images, converts sketches into vectors, and builds interactive prototypes for review.
Figma shows how AI image tools can support faster prototype reviews
Figma’s Workflow Lab focuses on a practical design sprint scenario rather than a standalone product announcement. The guide shows how a team can move from early visual exploration to more complete prototype directions by combining image editing, vector conversion, and interactive flows inside Figma.
For designers, the important point is continuity. Instead of exporting assets between separate tools, the workflow keeps image edits, vector assets, interface layouts, and prototype interactions close to the same canvas, making it easier to compare directions and prepare work for critique.
How the Workflow Lab process works
The guide centers on a fictional cooking and recipe app called Trivet. The team explores three UX directions for a referral promotion, including a modal with glass and blur effects, an in-feed card using Vectorize, and a prototype-focused path that lets stakeholders review interaction details earlier.
Figma’s approach connects AI image editing with visual refinement. Designers can adjust imagery, test style directions, convert hand-drawn or rough illustration material into scalable vector paths, and bring those elements into layouts that can be shared as interactive prototypes.
New workflow options for design sprints
The strongest workflow change is speed between concept and critique. AI image tooling can help teams test visual directions quickly, while Vectorize makes rough illustration work easier to convert into editable design material without rebuilding the asset manually from scratch.
Interactive prototyping adds another layer because the team can review how an idea behaves, not only how it looks. That is useful when designers need to evaluate hierarchy, timing, layout decisions, modal behavior, card placement, and the overall user flow before moving closer to production.
For product teams, this kind of workflow can reduce the gap between visual exploration and stakeholder review. The designer still needs to make decisions about structure, accessibility, brand fit, and interaction quality, but the tools can reduce repetitive asset preparation and make early options easier to compare.
Availability and production use
Figma presents the article as a workflow to try inside its broader design environment, using Figma Design, FigJam, Figma Make, Vectorize, AI image tooling, and prototyping features. The focus is on showing how teams can connect multiple tools during a sprint rather than introducing a single isolated feature.
For production teams, the best use case is early-stage exploration: campaign screens, product flows, promotional modules, landing page concepts, onboarding ideas, and app UI experiments. Designers should still review layer structure, vector quality, responsive behavior, accessibility, and final implementation requirements before treating prototype output as production-ready.
Sources and Recommended Links
- Workflow lab: AI image tooling and interactive prototyping in Figma | Figma Blog (Official)
- Figma Design | Figma (Official)
- Figma prototyping | Figma (Official)
