Designing a refined, lifestyle-led brand for a premium property developer. Logo system, material-inspired palette, layout principles, and brand book.

SneakerHue — AI x Product Design Experiment

SneakerHue — AI x Product Design Experiment

SneakerHue — AI x Product Design Experiment

From prompt to prototype. Testing how far AI can compress the product design process.

Intro

Client

Client

SneakerHues Concept

Role

Role

Freelance Senior Designer

Industry

Industry

AI

Proptech

Timeline

Week

Team

Just Me!

Why I Did This

Why I Did This

I wanted to move beyond theory and test how AI actually performs in a real product scenario. Not just generating screens — but pushing from idea → interaction → usable front-end. The goal wasn’t polish. It was speed, viability, and understanding where AI genuinely adds value.

I wanted to move beyond theory and test how AI actually performs in a real product scenario. Not just generating screens — but pushing from idea → interaction → usable front-end. The goal wasn’t polish. It was speed, viability, and understanding where AI genuinely adds value.

Live Prototype: A working interface generated and iterated using AI-assisted workflows

My Scope

What I Explored

What I Explored

Using AI to rapidly generate and iterate UI directions

Turning prompts into functional front-end output

Skipping traditional Figma-first workflows in favour of build-first thinking

Stress-testing how far AI can go without structured product definition

Research

What I Learned

What I Learned

AI is powerful, but uneven.

AI is powerful, but uneven.

It accelerates early-stage exploration and prototyping significantly

It struggles with structure, edge cases, and product logic

Outputs improve dramatically with clear constraints and strong direction

Designer judgment is still critical — especially in shaping, editing, and deciding what not to use

Most importantly: AI works best as a co-pilot, not a replacement.

Most importantly: AI works best as a co-pilot, not a replacement.

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