
Figma has shipped four new capabilities to its Make workflows, giving teams more ways to automate design tasks and iterate faster. The update includes voice-to-text prompts, version history, question cards, and clear context, all aimed at streamlining how teams build and refine prototypes using Figma's AI-powered Make tool.
The addition of voice-to-text prompts lets users dictate instructions instead of typing them out, a practical win for anyone working through design revisions on the fly or testing multiple variations quickly. Version history brings tracking and rollback directly into Make workflows, so teams can review changes, compare iterations, and restore earlier states without leaving the flow. Question cards structure how users interact with Make by prompting for specific inputs, reducing ambiguity in what the tool should generate or modify. Clear context improves how Make interprets prompts and tasks, helping the system understand what users want with less back-and-forth.
These features expand on Figma's ongoing push to integrate AI deeper into design workflows, following their recent work on bridging design and development. Make workflows already allow designers to generate UI components, layouts, and prototypes from natural language, and the new additions make that process more flexible and auditable.
Practical Gains for Workflow Automation
Voice-to-text prompts reduce friction when teams need to move fast. Instead of switching between keyboard and mouse or pausing to type out detailed instructions, users can speak directly to Make and keep momentum. This is especially useful during live design reviews or when iterating on feedback in real time.
Version history solves a common pain point in automated workflows: knowing what changed and when. Designers working with AI tools often lose track of iterations, especially when testing multiple approaches or collaborating across time zones. With version history baked into Make, teams can trace decisions, revert to earlier states, and document how a design evolved.
Question cards add structure to the prompting process. Rather than leaving users to guess what information Make needs, the system can now prompt for specific details, like target screen size, color preferences, or interaction patterns. This reduces errors and makes the tool more accessible to designers who are less familiar with prompt engineering.
Clear context addresses a core challenge in AI-driven tools: understanding intent. By improving how Make interprets prompts, Figma reduces the need for users to rephrase or clarify instructions. The result is faster output and fewer rounds of trial and error.
Broader Context
Figma has been steadily expanding Make since its introduction, positioning it as a bridge between idea and interface. The tool competes with other AI-powered design assistants like Lovable and v0, which also generate code and UI from natural language. Unlike those tools, which focus on code output, Make stays within Figma's design environment, letting teams work in the same space where they already collaborate.
The new features arrive as Figma continues to refine its AI strategy. Earlier this year, the company tested Nano Banana 2 for faster image generation and launched a Codex MCP server to enable bidirectional design-to-code workflows. These moves signal a focus on making AI tools more integrated, accurate, and responsive to how design teams actually work.
For now, voice-to-text, version history, question cards, and clear context are available to users with access to Make workflows. Teams looking to automate repetitive design tasks or speed up prototyping should see immediate benefits, particularly when working across multiple iterations or coordinating feedback from stakeholders.
Sources
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