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To write a structured AI video prompt, you need to define dramaturgy, camera language, lighting, and audio cues. This ensures the generated output matches the model-specific syntax required by tools like Seedance, Kling, and Veo.

Creating a storyboard and shot list from a video idea involves breaking down the concept into multi-clip sequences. This process applies readable visual rhythm, character continuity, and cut points to ensure production-ready continuity.

Fixing a vague AI video prompt requires a prompt audit to identify weak direction, continuity risks, and pacing issues. Correcting these elements ensures the instructions match the specific model's syntax and capabilities.

Using the same AI video prompt across Seedance, Kling, and Veo requires model-specific syntax adjustments. A prompt must be structured to enforce dramaturgy and camera language while adapting to each platform's unique generation constraints.

AI video generation loses character consistency across multiple clips due to broken prompts lacking continuity rules. Structuring multi-clip sequences with specific director treatments and final-image direction maintains character consistency.

A director treatment for AI video generation includes structured shot lists, camera language, lighting specificity, and audio cues. It transforms a raw concept into a tightly structured prompt with clear cut points and visual rhythm.