My Actual AI Video Workflow

People ask me about tools, prompts, models, and secret settings.

Fair. The toys are shiny. But the question I get asked most in training and mentoring is much better:

What is your workflow?

That is the right question because AI video is not one model. It is a chain of decisions. The model is where a clip appears. The workflow is how the clip survives long enough to become part of a video.

I Start With The Job

I do not start with a prompt.

I start with the job the video has to do. Is it a music video, a campaign film, a launch piece, a visualizer, a test for a bigger idea, or a proof that a team can make this kind of thing at all?

That changes everything.

A music video can carry weirdness. A brand film has less room for accidental horror. A social cut needs a strong first second. A training demo needs to show the decision-making, not only the pretty result.

Once the job is clear, I make a tiny production map:

• what the viewer should feel
• what must stay consistent
• what can be strange
• which shots matter most
• where I can accept happy accidents
• where the output needs human control

This is also where I decide if the project is model-led, edit-led, or system-led. Some pieces live or die by one strong generation. Others are really editing projects wearing an AI jacket.

Then I Build References

References are the part beginners skip because they want the prompt to do everything.

I collect frames, lighting ideas, wardrobe notes, camera language, pacing references, and sometimes ugly sketches. If there is a character, I want some kind of character sheet or at least a controlled reference image. If there is a world, I want enough visual rules that the scene does not melt every time the camera moves.

The point is not to copy the references.

The point is to give the system a target that is more specific than “cinematic”.

Images Before Video

Most of the time, I want images before video.

Images let me test the look cheaper and faster. They also expose weak direction early. If the character is wrong in a still image, video will not fix it. Video will make the wrongness dance.

At this stage I usually make:

• hero frames
• character sheets
• environment frames
• storyboard panels
• texture or wardrobe references
• ugly functional frames that exist only to guide video

Some of those frames will never be shown to anyone. They are scaffolding. That is fine.

Video Is Iteration, Not One Button

When I move to video, I do not expect the first generation to be final.

I test motion, camera behavior, character drift, rhythm, expression, and how much the model respects the reference. Sometimes I will generate ten versions and use three seconds from one of them. Sometimes the first clip is good, but the ending collapses. Sometimes the worst-looking test has the best movement, so it becomes a guide for the next pass.

This is where taste matters. You need to know when a clip is almost there, when it is dead, and when it is weird in a useful way.

The Edit Is The Real Machine

The edit is where AI video becomes a finished piece.

I cut hard. I hide weak frames. I use rhythm to make the model look smarter than it is. I grade, upscale, subtitle, reframe, mask, layer, and sometimes rebuild the shot with code or local tools.

For music videos, the edit is brutal because the song will tell you when the image is lying. If the cut misses the beat, people feel it before they can explain it.

For brand work, the edit has another job: make the idea look intentional. AI gives you many beautiful accidents. The edit decides which accidents deserve a passport.

The Last Pass Is Quality Control

Before I call something done, I check for the boring stuff:

• hands, faces, logos, text, and continuity
• frame edges and weird crops
• subtitle timing
• compression damage
• platform format
• whether the piece still does the job from the first section

This is not glamorous. It saves the work.

The Useful Version Of The Workflow

The short version looks like this:

job -> references -> still frames -> storyboard -> video tests -> selection -> edit -> polish -> publish

But the real workflow has taste between every arrow.

That is the part I teach. Not a magic model list. Not a prompt pack. A way to make decisions when the machine gives you too many options and not enough judgment.

If you want help building your own AI video workflow, I can help you turn experiments into a process you can repeat.

Build my AI video workflow