Claude Code + DaVinci Resolve: Editable AI Motion Graphics

The video demonstrates how to integrate Claude Code, an AI assistant, with DaVinci Resolve Studio 21.1 to create and edit fully customizable motion graphics within the Fusion workspace, emphasizing maintaining editable nodes like text and shapes rather than producing finished clips. Through step-by-step examples, the presenter showcases building, reviewing, and revising motion graphics projects while preserving manual edits, highlighting a streamlined workflow for AI-assisted graphic creation in Resolve.

This video walkthrough demonstrates how to connect Claude Code, an AI assistant, to DaVinci Resolve Studio 21.1 to create and revise editable motion graphics within the Fusion workspace. Unlike AI video generators that produce finished clips, this approach focuses on maintaining editable text, shapes, and animation controls directly in Fusion, DaVinci Resolve’s node-based composition environment. The presenter emphasizes starting with the official Resolve Studio version that includes Blackmagic’s AI Assistant integration, avoiding older, more complex setups involving separate Python installations or community servers.

The setup process involves installing Resolve Studio, creating a dedicated project for the demo, and configuring the AI Assistant connection through the Resolve interface. Once connected, the AI assistant can interact with Resolve’s scripting tools to read project information and make supported changes. The first test request should be read-only to verify the connection by reporting the Resolve version and timeline details without altering the project. After confirming the connection, the presenter guides viewers through creating a 1920x1080 timeline at 30 FPS and adding a Fusion composition for building the first graphic.

The initial example focuses on recreating infrastructure graphics previously used in an After Effects video, ensuring that elements like titles, panels, and labels are built as separate, recognizable nodes in Fusion. The presenter advises reviewing a completed frame before rendering to check layout, timing, and element order. Editable nodes such as Text+, Background, Mask, and Merge are inspected and adjusted manually to demonstrate the editable nature of the graphics. Subsequent revisions are made by instructing Claude to modify colors, labels, and animation timing while preserving manual edits and node structure.

The second example involves creating a short, 20-second launch video for a fictional notes app called Workshop Notes. The sequence includes four parts: source notes, a linked project page, a question with a supporting note, and the app’s name. Each scene is built as a separate Fusion composition with editable text and named elements to facilitate easy revisions. The presenter shows how to request still frames for review before animating the full sequence, then makes timing adjustments to ensure clarity and readability. The final project and review video are saved and tested by reopening the exported project to confirm all editable elements remain intact.

In conclusion, this video highlights a specific use case of integrating Claude Code with DaVinci Resolve to build and revise editable AI-driven motion graphics in Fusion. While it does not claim to replace full video editing, color grading, or other advanced tasks, it showcases how this workflow can streamline creating customizable graphics within Resolve. The presenter invites viewers to comment on other AI video editing topics they would like to see and encourages those already using Resolve to try this method for enhanced graphic editing and revision capabilities.

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