This project is a creative research study focused on brand recognition through movement and style.
Rather than designing a single logo reveal, the objective was to explore how different motion behaviors, light dynamics, and typographic transformations affect how a brand is perceived.
To achieve this, I developed and iterated structured JSON prompts that define:
• movement logic
• transition behavior
• visual rhythm
• stylistic constraints
• light and material responses
• movement logic
• transition behavior
• visual rhythm
• stylistic constraints
• light and material responses
These prompts allowed systematic exploration of multiple brand expressions while maintaining coherence and recognizability.
AI was used as a rapid prototyping and exploration tool, enabling faster iteration across styles and motion systems. Creative direction remained intentional and curated, with each output evaluated through a branding and storytelling lens.
The result is not a single identity, but a framework for motion-driven brand exploration, designed for modern launches, creative pitches, and visual R&D.
Focus areas
• Brand recognition through motion
• Typography as a dynamic system
• JSON-based prompt design
• AI-assisted creative exploration
• Director-led visual curation
• Brand recognition through motion
• Typography as a dynamic system
• JSON-based prompt design
• AI-assisted creative exploration
• Director-led visual curation
This approach bridges brand strategy, motion design, and AI prompt engineering into a unified creative workflow.
Tools Used: Chat GPT to create the JSON prompts
Google Veo 3
Edit in Premiere Pro
Upscale with Topaz Astra
