AI-Assisted Design - UI/UX - Rapid Prototyping
GreenWheel:
AI-Assisted Asset Management
From prompt to prototype — building a marketing asset portal with AI-assisted design.
Executive Summary
I designed a high-fidelity prototype for Green Wheel's Managed and Media Services as part of an internal design challenge, using Figma Make to explore AI-assisted prototyping workflows. The prototype featured a basic user flow with functional interactions, bringing the asset gallery experience to life. By integrating AI tooling throughout the process, I was able to compress the early exploration and wireframing phase and move faster to high-fidelity concepts than a traditional process would allow.
The Challenge
Without a dedicated asset portal, managing marketing asset requests at Green Wheel was largely manual and high-volume. Teams relying on OEM ad planners faced a fragmented experience with no centralized place for clients to browse, evaluate, or request campaign materials, making the process difficult to scale. The design challenge was to envision what that portal could look like: a modern, brand-aligned hub that made asset discovery intuitive and requests frictionless.
The Solution
Rather than starting from blank wireframes, I used Figma Make's AI-assisted design capabilities to rapidly generate and iterate on layout frameworks. By crafting targeted prompts and refining the AI's output through intentional design decisions, I was able to move through early exploration much faster than a traditional process, spending less time on the groundwork and more time on iterating and refining.
The final prototype centered on two core screens:
The Homepage serves as a streamlined entry point featuring prominent campaign assets, clear CTAs ("Request This Asset," "View Campaign Details"), and navigation designed to move users efficiently from discovery to request.
The Asset Detail Page brings everything a client needs into one place: selectable asset variants, performance metadata (views, downloads, ratings), and categorization by Brand, Season, and Theme, reducing the need to contact a rep for basic information.
Other key decisions included a gallery layout to let the assets lead visually, a tag and filter system (Brand, Season, Theme) for both browsing and targeted search, and a thought leadership section to add educational value and position Green Wheel as a strategic partner.
The Result
The prototype was presented to stakeholders as part of a competitive internal design challenge. While a different concept was ultimately selected for development, this project gave me something arguably more transferable: a validated, repeatable workflow for AI-assisted design.
The process confirmed that AI tools like Figma Make are strongest in the early exploration and rapid prototyping phase, compressing the time between brief and first high-fidelity concept, and surfacing layout directions I might not have reached through traditional wireframing alone. Human judgment remained essential for refinement, brand alignment, and intentional UX decisions through iteration, but AI meaningfully accelerated the path to a working concept, giving stakeholders something concrete to review and respond to sooner in the process.