Figma Launches FigJam AI to Liberate Designers from Tedious Preparations

Figma, known for its renowned product design application, has announced FigJam AI, a new suite of generative artificial intelligence tools for its collaborative whiteboard service, FigJam. This toolset is designed to create usable templates for common design and planning projects, reducing the preparation time required to manually create these collaborative whiteboard projects and allowing designers to focus on more pressing tasks. FigJam AI is currently available for testing starting from November 7th and is "free" for all customer tiers. The new feature offers a range of suggested prompts for creating templates for things like flowcharts, icebreaker games, brainstorming sessions, and one-on-one meeting planners. It also includes a text box where users can describe in their own words what they want the tool to generate. The AI will also suggest including some default descriptions in the content. For example, when generating a Gantt chart, it may suggest adding a timeline, project count, and project milestones. Users can delete or adjust the generated parts of the project just like manually created projects. FigJam AI also includes sorting, which automatically groups sticky notes - the virtual equivalent on the platform for recording ideas - based on key themes. It also includes summarization, which creates a summary of the information in a group of sticky notes with a single click. These new features can be used in conjunction with Jambot, a FigJam widget powered by ChatGPT, which the company launched in August. Dylan Field, co-founder and CEO of Figma, stated that the company is considering other AI-related developments, and these initial features for FigJam AI are "an obvious starting point." The current FigJam AI testing version uses OpenAI's base models, and Field claims that these models can easily be replaced with other foundational AI models. "For FigJam, I think we've been strategic," Field said. "Across the entire Figma platform, we've thought about all the ways AI could be useful and narrowed it down to some use cases where we can deeply integrate it into the product and truly be helpful."