How Much Should You Prepare Before Generating an AI Video?

Knowing what happens in a story is different from knowing how to film it. A character is about to leap through an opening in a roof. We may know that she smiles, but still have no idea where the camera should follow, when to cut to her face, or which surface her foot should touch.

If we generate immediately, the model decides everything we have left open. Sometimes that produces a welcome surprise. Sometimes it produces several clips that miss the picture in our heads.

There is no production recipe that works every time. But before generating, we need to know what we have already decided and what we still want the model to supply. Preparation separates those two things, then gives the uncertain parts better support.

An excerpt from Heist, combining full-scene generation, greenscreen character compositing, and Blender animation. The approaches below address those different production needs.

Start with the event, the character, and an action you can check

You do not need an entire city, every facial expression, or a complete film animatic before you begin. Choose a short scene you actually want to finish and write down three things: who is there, what changes, and what the audience needs to understand.

For example: “SUSEKA taps a dome lid that has already been cut loose. Only then does it slide away. She uses the contact to spring upward, then drops through the opening.” The essential relationship is that her foot makes contact before the lid moves. A prompt that merely says “she jumps through the roof” could produce a descent while losing that cause and effect entirely.

Next, prepare a fixed character reference. For Heist, we started with character assets purchased from Aimikoda, then added the expressions and poses we needed. With an original character, start from an approved design sheet so that every additional reference depicts the same person.

The minimum package is now a clear event, an established character identity, and the relationships the shot must preserve. How much more you prepare depends on where you are stuck.

If you are unsure how to shoot it, watch a local preview first

“The camera follows the character down” could mean that both descend together. It could also mean that the camera stays above, tilting down as the character falls away. If we do not know which picture we want, more elaborate wording will not settle the choice.

Ask an AI assistant working on your computer to operate Blender and build a simple scene with a basic figure. This is a previsualization, or previz. Look at the starting camera position, when it catches up with the character, where it pauses, and when it cuts. If it feels wrong, move the camera, change the path, and play it again.

When is that preparation enough? When you can watch the rough shapes and say, “This is the side we want to shoot from; here we cut closer; this is how the character leaves the frame.” Fingers, hair, and clothing do not all need finished animation for the previz to answer those questions.

The previz does not necessarily have to go into the video model. It may simply help us decide how to shoot. If the camera path and timing remain difficult to describe, we can then supply a suitable previz as a video reference.

If the picture is clear but the prompt is not, ask for help organizing it

Give the local assistant your character images, expression references, action description, and any previz. Ask it to use a prompt skill suited to the video model, check the materials for contradictions, and organize them into a usable prompt.

A skill is a reusable set of working instructions. It can help the assistant distinguish character identity, setting, performance, and reference roles. It helps express a decision; it cannot decide whether we want a deliberate leap or an accidental fall. That choice changes the scene and still belongs to us.

You can start with this instruction:

Use a prompt skill suited to this video model and inspect our references.
First describe, in plain language, what this shot will show,
where the camera is, and how the action ends.
Identify conflicts between the references and the description,
and any choices we still need to make.
Once those are resolved, write the prompt without adding new events
or changing the characters or cause and effect.

You are ready to submit when you understand the picture the assistant describes and the images support that same approach. If the camera movement still resists a clear description, add a short previz instead of relying on more adjectives.

If the location must stay consistent, decide early whether to separate it from the actor

When each generation rebuilds an entire roof, the dome’s position, shape, and perspective may change. Those changes become editing problems when the next action must connect to the same opening.

For Heist’s rooftop leap, we kept the location in Blender, generated the character performance against green, then keyed, composited, and edited it. That let us keep working on the performance while reusing the same roof.

Preparation for this approach goes beyond asking for a green background. Before generating, decide which side the character enters from, which edge the foot touches, the angle from which the camera sees that contact, and what will obscure the character as she passes through the opening. Otherwise, a figure that is easy to key may still be impossible to place convincingly in the scene.

For a conversation in a single room, full-scene generation may be more suitable. Choose greenscreen when you need to retain control of the location and are willing to do the compositing work.

Use the uncertainty to choose the next step

This is not a guarantee of success. It gives the next generation a defined job, rather than handing over every unresolved choice. If the result is not usable, you can trace the problem back to the performance, camera work, wording, or compositing plan.

The next five guides cover acting references, maps and movement, greenscreen for a consistent location, local previz, and prompt preparation. Start with the part you are least sure about.