Jeff Schenck




Porsche-Themed
Case Study
AI Marketing in Motion
This case study was built as a creative experiment to showcase what’s possible when AI is leveraged to produce a premium brand campaign—without client oversight, budget constraints, or a production crew. Using Porsche as a fictional brand canvas, I created a high-impact marketing simulation using AI image generation, character prompts, motion graphics, and campaign scripting. The goal? To show how fast, flexible, and on-brand a luxury campaign can be with the right AI workflow.


This case study was built as a creative experiment to showcase what’s possible when AI is leveraged to produce a premium brand campaign—without client oversight, budget constraints, or a production crew.
Project Overview
Using Porsche as a fictional brand canvas, I created a high-impact marketing simulation using AI image generation, character prompts, motion graphics, and campaign scripting. The goal? To show how fast, flexible, and on-brand a luxury campaign can be with the right AI workflow.



One of the first things to do when creating AI content is to consider the workflow pipeline based on AI limitations. Obviously you have to know AI modeling, prompts, and basic creative design work. There are still limitations, text issues you have to 'inpaint' after rendering, and dealing with environmental modeling physics issues (odd movements, fluid dynamics, and photorealism). The best process is to create a bunch of images first in the sizes you want, and then from there, move to using image to video style prompts. This will reduce costs (images are cheaper to render than videos), frustrations, and time lost!

Why Porsche?
Porsche wasn’t the client—but it was the perfect symbol. The brand’s sleek visual DNA, aspirational tone, and luxury legacy gave me a powerful sandbox to test AI storytelling. I used AI-generated cars, cinematic angles, and imagined touchpoints like performance apps, driver experiences, and smart dashboards to build scenes that looked client-ready. These assets became a vehicle (pun intended) to demonstrate how AI can rapidly create world-class campaign visuals without ever stepping on set



AI Tools in Action
The entire case study was built with a full AI and creative stack:
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OpenArt.ai for visual generation and stylized car imagery
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ChatGPT for campaign messaging, prompt optimization, and copy.
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Hailou.ai to render image to video with camera movements in their I2V-01-Director
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Photoshop for final touch-ups or inpaint repairs with their AI
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Premiere Pro to edit vertical and widescreen trailers from AI footage
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Sintra.ai for structuring and hosting blog-based storytelling
Every asset on this page—from the car renders to the motion graphics—was AI-assisted, demonstrating what a single strategist can do with the right toolkit and a clear narrative arc.


Output Renders
I always begin the process by generating a high-quality still image. Starting with video-to-text generation often leads to frustrating errors, increased costs, and wasted time. Static image rendering is faster, more controllable, and significantly more cost-effective. Once I’ve locked in a compelling base image, I upscale it—typically 2x or 4x—for maximum clarity and detail.
From there, I use image-to-video tools with guided prompts to animate the scene. This method produces more stable and coherent motion, especially when combined with controlled camera movements and carefully refined prompt instructions. It’s not just about creating motion—it’s about crafting motion with intent and visual integrity.


Output Challenges
The examples above highlight some of the visual inconsistencies that can emerge when working with generative AI tools. In one instance, a white Porsche appears to reverse down the road—an unintended result of ambiguous motion direction in the prompt. In another, the vehicle flips orientation mid-sequence, likely influenced by conflicting camera direction data within Hailou.
These outcomes underscore a key reality: while AI is powerful, it isn’t infallible. Overloading prompts with too much directional data can introduce unexpected glitches, while under-defining motion can leave outputs open to misinterpretation. Achieving clarity requires striking the right balance between precision and creative freedom.
Visual Storytelling
with Strategy
These weren’t just pretty renders. Each image and video clip was tied to a content objective—product awareness, lifestyle alignment, or aspirational conversion.
I used AI prompts to control weather, angle, lighting, and model consistency across scenes, making the entire campaign feel coherent. Calls to action and messaging were tested across multiple tones—from refined luxury to adrenaline-fueled adventure—showing how agile and data-informed the creative process becomes with AI at the core.

Results & Takeaways
The project wasn’t made for Porsche—it was made for possibility. This case study proved:
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AI can deliver premium visuals and narratives in a fraction of the time if you know the limitations and workflows.
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Marketing pros can now prototype full campaigns solo—with vision and tools alone.
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Visual-first ideation drives faster alignment on tone, format, and channel.
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AI workflows free creatives to focus on impact, not just execution.
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AI is still limited, and you have to account for those limitations in your workflows and creative pipelines or it can be worse and MORE costly and time consuming than traditional methods
Most importantly, this work lets clients and collaborators see what AI marketing looks like—not just in theory, but on screen.