FigmaSense Work-Flow | product explainer video made with ngram

About the video

This product explainer video was made with ngram to explain how the FigmaSense workflow turns a library of design files into a searchable, AI-ranked system. The video walks through four stages: an opening title establishes the subject, followed by a look at index preparation, where design assets are processed and organized into a searchable structure. The next scene covers the query workflow, showing how a user's search request moves through the system before reaching the ranking stage. The final scene focuses on AI ranking and results, illustrating how the system evaluates indexed content and surfaces the most relevant matches back to the user. Built with HTML/CSS motion graphics in a 16:9 format, the video uses clean animated diagrams rather than live screen recordings to visualize each stage of the pipeline, making the underlying technical process easier to follow for viewers who need to understand how search and ranking fit together. The result is a concise technical overview suited to teams who want a clear mental model of how indexing, querying, and AI-driven ranking connect inside FigmaSense's workflow.