How To Create Cinematic AI Ads - Full AI Video Course
Integrating structured pre-production and targeted toolsets like Cinema Studio enables AI creators to establish consistent characters and multi-angle environments while saving generation credits.
What this lesson covers
Dan Kieft provides a full pre-production to asset creation workflow for producing cinematic AI video commercials. He demonstrates character design sheet generation, script structuring with Claude, and multi-angle location building inside Higgsfield's Cinema Studio.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 1:23 ↗
Structure commercial pre-production around a clear story arc before generating assets to prevent credit waste during prompt iteration.
- 3:10 ↗
Generate multi-angle character reference sheets featuring front, back, and detail close-ups against neutral backgrounds to establish consistent visual identity.
- 4:08 ↗
Utilize Higgsfield Cinema Studio's Soul Cast feature to quickly generate reference character sheets directly from simple prompts.
- 5:43 ↗
Feed narrative concepts into Claude to generate structured storyboards, clarify shot angles, and organize visual mood boards.
- 7:24 ↗
Build environment locations using Cinema Studio's Cinematic Locations feature, using multi-shot grids to render consistent multi-angle background sets.
Workflow outlined in the video
- Outline the narrative foundation and character lore during early pre-production.
- Create turn-around character sheets featuring front, back, and close-up views on neutral gray backgrounds.
- Use Claude to brainstorm scene layouts, shot lists, and detailed visual storyboards.
- Generate location options in Higgsfield's Cinema Studio under the Cinematic Locations feature.
- Apply the multi-shot grid tool to generate multiple camera perspectives from a single established location environment.
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.
Explore the tools
How to interpret the numbers
72,533 views captured 23 October 2026. ReelStack recommendation score: 22/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 0.59× views vs 6 other channel videos observed at a similar age. View-evidence factor 99% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 194 views/day vs 545 channel baseline (4 comparable uploads), with the same view-evidence factor
- 10% engagement: 5/100; likes + 4× comments, smoothed with a 500-view neutral prior