AI video generation has improved quickly, but one problem still appears again and again: motion is hard to control. You can write a detailed prompt. You can describe the scene, the character, the camera angle, and the mood. But when the video is generated, the movement may still feel random. The character might walk in the wrong direction. The pose might change too much. The motion may not match the action you imagined. The result can be beautiful, but not always usable. For many creative workflows, this is a real limitation. Prompt-only video generation has a control problem Text prompts are great for describing intent. For example: A stylish avatar walks forward on a city street, cinematic lighting, realistic motion. This sounds clear to a human. But for an AI video model, there are still many open questions: How fast should the character walk? Should the body turn? What should the hands do? How much camera movement is needed? Should the pose stay consistent? What motion rhythm should be followed?…