Six-Second AI Video Assembly Workflow
Break one video concept into short, consistently prompted clips, then edit them together.
- Difficulty
- Moderate
- Time to result
- ~weeks to results
- Steps
- 6
- Confidence
- 98%
The workflow adapts a complete video concept to the short durations current AI video models handle reliably. Start with the overall message, script, and visual direction, then decompose that plan into scenes lasting roughly two to eight seconds. Create a separate but stylistically consistent prompt for every scene and generate the clips individually with an AI video model. The model handles production-intensive imagery while a human selects usable generations and assembles them in an editor. Transitions, animation, after-effects, pacing, and continuity are added during post-production rather than delegated to one oversized prompt. This modular process converts a brittle one-shot request into smaller controllable units, reducing the need for an expensive physical shoot while preserving human control over narrative coherence and publishing quality.
Origin
Extracted from Marketing Against The Grain, where the host compared a failed 15-second generation with the successful short-clip structure of the Cat Olympics video.
Core principles
- 01Design around the model's reliable clip length.
- 02Treat prompting and editing as separate production stages.
- 03Maintain consistency across independently generated clips.
- 04Use AI to reduce shoot costs, not eliminate production judgment.
- 05Expect several specialized tools to outperform a one-shot workflow.
How to run it
- 1
Define the Complete Video
Specify the message, audience, duration, setting, characters, and intended visual style before generating anything. Use a language model to produce a detailed script and visual outline.
Pro tip Describe the desired result as if briefing a director.
Watch out Do not assume the video model can execute the complete outline in one generation.
- 2
Chunk the Script
Split the outline into self-contained scenes lasting approximately two to eight seconds. Give each scene one clear action or visual beat.
Pro tip Favor six-second scenes when the model's reliable duration is unknown.
Watch out Long scenes may end before the intended action or resolution appears.
- 3
Create Consistent Prompts
Write a generation prompt for each scene while repeating the defining details of characters, products, environments, and visual style. Preserve continuity across all prompts.
Pro tip Use a custom GPT or reusable prompt template to enforce consistency.
Watch out Independent prompts can cause characters and aesthetics to drift between clips.
- 4
Generate and Select Clips
Run each prompt through an AI video model and compare the resulting variations. Keep only clips that communicate their assigned beat clearly.
Pro tip Generate alternatives for important scenes so the editor has options.
Watch out A visually impressive clip may still fail if it does not advance the script.
- 5
Assemble in an Editor
Place the selected clips in sequence using Adobe software or another video editor. Adjust timing and add transitions, animation, audio, or after-effects where required.
Pro tip Use the edit to hide discontinuities between independently generated scenes.
Watch out Raw generated clips rarely form a finished advertisement without post-production.
- 6
Review for Publication
Watch the complete video in the format and pacing of its intended channel. Revise weak scenes or transitions before running it as an ad or publishing it socially.
Pro tip Judge the complete communication outcome rather than the quality of isolated clips.
Watch out Do not publish merely because individual generations look polished.
In the wild
A creator generated separate clips of different cats performing Olympic dives. Each diving-board sequence stayed within the short duration AI video handled well, and the creator cut the individual results together into a longer compilation.
→ The modular compilation accumulated roughly one and a half million views while avoiding the need for one model generation to sustain the entire concept.
The host asked ChatGPT for a detailed 15-second, James Cameron-style advertisement and supplied the full prompt to the video model. The generation produced a camera move, a shipping-delay problem, and the beginning of a manta-ray-like rescue, but ended before completing the intended story. Splitting that outline into short scenes would allow each visual beat to be generated and edited separately.
→ The experiment demonstrated why complete ad scripts should be decomposed before video generation.
Common mistakes
Submitting the Entire Ad at Once
A model may accept a long prompt without completing all of its visual beats. Prompt capacity does not guarantee narrative-duration capacity.
Changing Details Between Clips
Inconsistent character and style descriptions produce discontinuous footage that becomes difficult to assemble convincingly.
Skipping Post-Production
Generated clips still need selection, sequencing, transitions, effects, and pacing before they become a usable advertisement.
Is it for you?
Best for
It is best for marketers and creators who can combine prompting with basic video-editing skills.
Not ideal for
It is not ideal for non-editors expecting a polished, publishable advertisement from one prompt.
From the transcript
“If you have a cool script and you can break it down into like two to eight second chunks, and you can go and have…”
“I would get really good at generating really great scripts for like six-second video clips.”
“And then I would use those scripts in something like Haleo, something like Google's VO3 to generate the actual video clips. And then I would…”
From the episode
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