Overview
A visual tutorial for building a donut in Blender demonstrates why video understanding matters. The process includes shape manipulation, sculpting, textures, painting, camera movement, and many interface actions.
A plain summary would not be sufficient. The agent needs to understand what is selected, where controls are located, how objects change, and what the expected visual result should resemble.
In the Blender example, the agentic system watches the tutorial, extracts the steps, identifies missing tooling, and communicates with Blender through MCP. It then reproduces the tutorial autonomously.
This example shows that an agent can learn from the same instructional medium used by humans. The agent is not limited to a written manual if it can convert video into structured action.