The AI Video Workflow Nobody Is Talking About (Full Breakdown)
Explains how to maintain narrative consistency and visual style across an AI short film production using character reference sheets, strict worldbuilding constraints, and agentic workflows.
What this lesson covers
AI Samson breaks down his complete production pipeline for creating an AI short film titled Model Wife. He details how he established character reference sheets, defined strict worldbuilding rules, drafted the narrative arc using Claude, and leveraged invideo Agent 2 for multi-agent video generation.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:40 ↗
Character development in AI filmmaking requires defining core motivations and fears rather than focusing solely on visual appearance.
- 01:43 ↗
Generating character reference sheets from source photographs establishes visual locks to preserve likeness across 30 or more shots.
- 03:26 ↗
World consistency across shots requires establishing strict rules for location design, overcast lighting, fixed color hex codes, and camera shot types.
- 05:31 ↗
Utilizing Claude to structure narrative context, visual rules, and character profiles simplifies organizing massive amounts of pre-production data.
- 07:14 ↗
Applying the 'save the cat' storytelling technique early in the film establishes viewer empathy for AI-generated characters prior to conflict.
Workflow outlined in the video
- Generate character turnaround reference sheets from source photos displaying front, side, and rear angles to lock visual consistency.
- Draft a document of non-negotiable world rules specifying exact lighting, shot types, camera motion limits, and specific color hex codes.
- Define narrative beats in Claude by establishing what the character wants, what stands in their way, and an initial empathy scene.
- Input character reference sheets, visual rules, and story beats into AI generation tools to maintain context throughout shot production.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
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How to interpret the numbers
16,900 views captured 25 September 2026. ReelStack recommendation score: 47/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 0.48× current views vs the channel's recent median; same-age history is not yet available. View-evidence factor 94% (views / (views + 1,000))
- 25% freshness: 83/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 63/100; likes + 4× comments, smoothed with a 500-view neutral prior