A great idea is just the start. To get a video AI to create a compelling, coherent story, you can't just feed it a vague concept. The model needs a detailed blueprint, a set of structured instructions that define every visual and narrative element. This is the role of pre-production, or pre-viz. It’s where you translate your creative vision into a data-rich foundation that an AI can actually understand and execute.

Think of it like building a house. You wouldn't just tell a construction crew to “build a nice house.” You'd give them architectural plans, electrical schematics, and material lists. In AI video production, the script, storyboards, and shot lists are those plans. They ensure that characters look the same from scene to scene, the lighting matches the mood, and the camera moves with purpose.

The first step is moving from a prose description to a formatted script. Professional scriptwriting has a rigid structure for a reason: it breaks a story down into discrete, machine-readable components. Scene headings (INT. COFFEE SHOP - DAY), character names, and dialogue blocks aren't just for actors; they're tags that an AI can parse.

Tools like NolanAI or Squibler are built for this. They don't just act as word processors; they enforce industry-standard formatting. More importantly, their AI features can analyze your script to automatically break down scenes, list characters, identify locations, and even tag props. This process transforms your narrative into structured data, creating a clean, organized input for the next stage.

With a formatted script, you can begin to visualize the final product. This is where AI-powered storyboard generators like Saga or DomoAI come in. These tools ingest your script—or individual scenes from it—and generate corresponding images. This step is critical for establishing visual consistency. You can create a definitive look for your main character or a specific mood for a key location and use that generated image as a reference for all subsequent scenes.

But this phase is about more than just creating concept art. It's about defining the cinematography. The goal is to generate a technical shot list that tells the video model not just what to show, but how to show it.

Instead of a simple prompt like "a woman walks in a forest," your input for the storyboard tool would be far more specific: "Low-angle shot of a woman in a red cloak walking through a dark, misty forest. Tracking pan follows her from right to left. Backlit by a sliver of moonlight." This level of detail ensures the AI understands the desired camera work, composition, and lighting. Each specific instruction removes ambiguity and gives you more creative control over the final synthesis.

By building this detailed, data-rich foundation during pre-production, you guide the AI with precision. You're no longer just a prompter; you're a director, making deliberate choices about script, storyboarding, and cinematography that will define the final video.

Time to test your knowledge of these pre-production techniques.