Figma Blog: Five scalable workflows built on Figma Weave

On April 9, 2026, Figma published five reference workflows built on Figma Weave, its AI-native canvas platform that came from the company’s acquisition of Weavy. The announcement introduced Weave as a framework for building repeatable, multi-step generative AI workflows inside a visual canvas — distinct from Figma’s existing AI features like Make or the Skills system for AI agents.

What Figma Weave is

Weave is built for teams that need to run structured AI processes — sequences that involve multiple model calls, data inputs, or decision branching — without writing code. Workflows are assembled on a visual canvas, where each step is a visible node that can be configured and connected to the next. According to Weavy founder Itay Schiff, the platform was designed because “we saw a need for a new paradigm in media production — one where you can combine AI models, shape every step, and scale your process.”

The five workflows published with this announcement serve as production examples of what Weave can handle in practice.

Context

Figma has moved fast in early 2026 to expand what it means to be a design platform. The Skills system for AI agents, Make kits for design system prototyping, and the MCP server for bi-directional code-to-design workflows are all part of the same direction. Figma Weave adds a layer for teams whose AI needs exceed single-prompt generation — teams that want to coordinate multiple models, process external data, and run the same pipeline repeatedly at production scale.

Why it matters for design teams

For design leads and product teams, Figma Weave is an attempt to make multi-step AI workflows accessible within a tool they already use, without requiring a separate automation platform. The five reference workflows are the clearest signal of where Figma believes real-world demand sits — examining which workflows they chose to highlight is worth doing for any team evaluating whether Weave fits their work.