Senior Product & Systems Designer

AI-Assisted Product Development

Moving faster from idea to impact

I turn messy ideas into clear, testable products using AI-assisted strategy, design, prototyping, and code.

View Projects See Process
  • Rapid Prototyping
  • AI Workflows
  • Fast Iteration
  • Rapid User Testing
Amber Westbrook

I use AI to move faster, not to skip the thinking.

Design thinking, human empathy, strategic decisions. That's the real advantage

Process

My AI Product Development Workflow

A repeatable system for moving from idea validation to designed, built, and deployed products.

  1. 1

    Iron out ideas

    Explore product concepts, pressure-test assumptions, and find plot holes before committing to a direction.

    Tools:ChatGPT
  2. 2

    Concept outlines

    Turn messy ideas into clear briefs, outlines, and lightweight presentation materials.

    Tools:Gamma
  3. 3

    User flows

    Map user journeys, interaction paths, decision points, and early product structure.

    Tools:FigmaWhimsical
  4. 4

    Wireframes

    Create preliminary wireframes and interface directions before investing in polished UI.

    Tools:FigmaClaude DesignVercel v0
  5. 5

    Prototype and build

    Move from concept to functional product using AI-assisted coding and fast iteration.

    Tools:CursorVS CodeClaude
  6. 6

    Frontend and backend

    Build and deploy lightweight products with practical, scalable infrastructure.

    Tools:CloudflareSupabase
  7. 7

    Ship and learn

    Test with real users, collect feedback, improve the product, and keep refining.

    Tools:Tester Hubanalyticsuser feedback

Portfolio

Current AI-Assisted Product Work

A living portfolio of products I'm designing, testing, building, and refining.

Toolkit

The Stack Behind the Work

Strategy and ideation

  • ChatGPT
  • Claude

Planning and presentations

  • Gamma

UX and flows

  • Figma
  • Whimsical

AI prototyping

  • Claude Design
  • Vercel v0

Code

  • Cursor
  • VS Code
  • Claude

Frontend

  • HTML/CSS/JS
  • React/Vite
  • Next.js

Backend and deployment

  • Cloudflare
  • Supabase

Simple builds

  • Vanilla HTML/CSS/JS

Philosophy

How I Think With AI

My AI workflow is not about asking tools to make decisions for me. I use AI to widen the solution space, expose weak spots, generate alternate paths, and move faster through the repetitive parts of product work.

The product judgment still comes from me: what matters, what to simplify, what users need, what should be tested, and what is worth shipping.

  1. Better questions

    AI helps me stress-test assumptions and surface blind spots before they become expensive mistakes.

  2. Faster prototypes

    From wireframe to working code in hours, not weeks — so ideas get tested while they're still fresh.

  3. Clearer handoff

    Structured outputs, documented decisions, and clean code that teams can actually build on.

Human judgment

I set direction, make calls, and take responsibility for the outcome.

AI speed layer

AI handles the heavy lifting so we can move faster.

  1. Ideate & explore

    Research, briefs, competitive scans, and fresh angles.

    ChatGPT

  2. Define & strategize

    Problem framing, user needs, and prioritization.

    ChatGPT Gamma

  3. Map & structure

    User flows, information architecture, and content structure.

    Figma

  4. Design & prototype

    Wireframes, UI, interactions, and high-fidelity prototypes.

    Figma v0

  5. Build & iterate

    Production code, components, and rapid iteration.

    Cursor

  6. Test & validate

    Test flows, edge cases, and user validation.

    Tester Hub

Shipped product

Clean handoff. Measurable outcomes. Real impact for real users.

Cloudflare

Get in touch

Let's build something useful, polished, and real.

I'm interested in product design roles where AI, systems thinking, prototyping, and user-centered execution matter.

View Professional Portfolio Contact Me