From Script to Finished AI Video: A Workflow

Most AI video tools are built for one shot at a time. You type a prompt, get a clip, and try again. That works for a ten-second social post. It falls apart for a ten-minute YouTube video, where you need dozens of shots that belong to the same story, the same characters and the same world.

This guide lays out a workflow that holds together at that length. It is the same structure whether you do it by hand across several tools or in a single production system.

The three stages at a glance

1. Setup: decide what stays the same across the whole video.
2. Scenes: turn each beat of the script into a checked picture, then a clip.
3. Film: put it together with narration and review it as a real video.

Each stage feeds the next. Skipping ahead is where most problems start.

Stage 1: Setup (the production bible)

Read the finished script and list everything that recurs. That becomes your production bible.

• Visual style: one look for the whole film, described and shown with reference images.
• Characters: a sheet for each recurring person, with front, side and back views and their wardrobe.
• Locations: one reference per place, with the “fixed features” that must never change. For a Roman street, that might be the apartment block facade, a fountain, a corner shrine and the basalt paving.
• Recurring objects: a purse, a tool, a cart, anything that appears in more than one scene.
• Creative rules: for example, no text in the picture, no modern objects, a set colour palette at night.

Build this once and approve it before you draw any scenes. Every later decision is measured against it.

Stage 2: Scenes

Break the script into beats

Split the narration into scenes, one visual idea each. A beat usually lasts a sentence or two. A ten-minute narrated video can easily reach eighty scenes, grouped into sections or chapters.

Write a shot description for every scene

For each beat, write what the camera sees: who is in frame, what they are doing and holding, where they are, the time of day and the framing. Name characters and places by their bible entries, not by loose descriptions.

Then check the description against the narration. Does the picture show what the voice is saying? If the narrator says “he counts his last coins”, a wide shot of a street is the wrong shot. This check is worth doing with a second reader, human or model, because the person who wrote the description tends to see what they meant rather than what they wrote.

Draw still candidates and pick one

Generate a few still images per scene from the description and the bible references. Judge each against:

• character identity and wardrobe
• location and its fixed features
• the props the scene needs
• the framing the description asked for

Keep versions side by side so you can compare and roll back.

Write the motion prompt from the chosen still

Once a still is approved, describe the motion in terms of that exact picture: what moves, how much, and what the camera does. Small, specific motion holds up better than dramatic moves.

Animate from the still

Generate the clip using the approved still as the starting frame. This keeps the video matching the picture you checked. Check the clip for obvious breaks such as faces changing, hands distorting or objects appearing from nowhere.

Stage 3: Film

Lay out the timeline with narration

Place every clip against its narration. Each scene’s length should follow its narration, not a fixed clip length.

Watch it as a video

Review the whole film in order. Look for:

• pacing that drags or rushes
• continuity breaks between adjacent scenes
• the same clip or near-identical shots used twice
• moments where picture and narration disagree

Fix only what visibly fails, then review again. A human eye is still the final judge of whether the film works.

A workflow checklist

1. Script finished and locked
2. Production bible built and approved
3. Script split into scenes and sections
4. Shot description written and checked against narration for every scene
5. Still candidates drawn, judged and one approved per scene
6. Motion prompt written from each approved still
7. Clips animated from the stills
8. Timeline assembled with narration
9. Full film reviewed for pacing and continuity

Where this workflow usually breaks

• Starting from images instead of the script. You end up writing narration around whatever the model produced.
• Skipping the bible. Each scene reinvents the characters.
• Animating from text. The clip drifts away from the still you approved.
• Reviewing clips one at a time. Continuity problems only show at the cut.
• Picking a different model per shot by feel. Quality and look vary shot to shot.

Doing it in one system

VIA follows this exact structure as three screens: Setup, Scenes and Film. Every scene description is checked against the narration by an independent model before any image is drawn. Stills are judged for identity, location, props and framing. Clips are animated from the approved still. VIA also chooses the image and video model for each shot, so you are not guessing which tool suits a close-up versus a wide street.

“24 Hours in Ancient Rome”, a history episode of about nine to ten minutes, was built this way: 83 scenes in 14 sections, 8 locations and a recurring cast. The case study walks through it, and how it works covers each stage in more detail.

If you have a script and want to turn it into a finished long-form video without stitching tools together, apply for the beta.