How I Made a Lamborghini Commercial with AI (Full Workflow)
Offers working filmmakers practical insight into structuring spec commercials around narrative acting rather than pure product shots, utilizing 30-second generation models and AI agents.
What this lesson covers
The creator breaks down the production process behind an emotional Lamborghini spec commercial featuring two brothers. He demonstrates how to develop brand slogans with Claude, organize multi-layered visual timelines, and generate continuous 30-second scenes using InVideo's AI agent.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 01:40 ↗
Testing character acting and emotional depth served as the foundational premise of the spec ad project rather than focusing strictly on the vehicle.
- 04:19 ↗
Crafting the brand slogan was accomplished by collaborating with Claude to analyze conceptual contrast formulas used by major brands like Under Armour and Rimowa.
- 05:16 ↗
Separating the film into five thematic layers (present, past, fame, abstract moments, and now) enabled distinct visual styles, such as raw black-and-white and red-tinted abstractions.
- 06:47 ↗
Leveraging Seedance 2.5 allowed the generation of continuous shots up to 30 seconds in duration to support emotional dialogue beats.
- 09:41 ↗
InVideo organizes its AI agent generation into Lite, Pro, and Ultra tiers rather than exposing granular model provider selection.
Workflow outlined in the video
- Establish an emotional narrative arc for a spec commercial to stress-test AI video model acting capabilities.
- Use Claude to brainstorm and refine brand claims by comparing contrasting word pairs like 'beyond' and 'behind'.
- Map the narrative across distinct visual timelines using specific color grades, aspect treatments, or VHS aesthetics to denote memories and psychological states.
- Generate multi-sentence dialogue scenes in extended 30-second clips using Seedance 2.5 to preserve continuity across character interactions.
- Configure an AI agent project in InVideo by designating a project title and selecting the appropriate tier (Lite, Pro, or Ultra).
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
1,248 views captured 30 October 2026. ReelStack recommendation score: 24/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 0.05× views vs 6 other channel videos observed at a similar age. View-evidence factor 56% (views / (views + 1,000))
- 25% freshness: 51/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 100/100; likes + 4× comments, smoothed with a 500-view neutral prior