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.

  • 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

The Foundation

My AI Product Development Workflow

A repeatable system for moving from idea validation to designed, built, and deployed products. It is the foundation everything else builds on. What's changed: I now automate and delegate big parts of it. More on that below.

  1. 1

    Iron out ideas

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

    Tools:Claude Cowork
  2. 2

    Concept outlines

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

    Tools:GammaObsidian Second Brain
  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

Agentic Workflows

Automations I Built to Skip the Busywork

The process below still holds, but I don't run every step by hand anymore. I build automations for the repetitive parts and hand the bigger tasks to agents, so my time goes to the work that actually needs my judgment.

Branding content generator

An automation I built for my freelance clients. It creates branded content that matches each client's look, so I'm not rebuilding the same thing by hand for every one of them.

Social content generator

This one writes the social posts, makes a matching image for each one, and schedules them straight to Buffer. What used to eat an afternoon now runs on its own.

Built mostly in n8n, with Zapier, Make, and Claude Cowork where they fit, plus the custom skills, MCP servers, and connectors I make so the agents can reach the right tools.

  • n8n
  • Zapier
  • Make
  • Claude Cowork
  • Skills
  • MCP
  • Connectors

Second Brain

The System That Remembers So I Don't Have To

Obsidian sits under all of it. Every project, decision, and pattern I've built lives in one place, so the work adds up over time instead of starting over every time I open a new file.

Context for agents

The notes I feed my agents. Briefs, standards, and past decisions, so whatever I hand off already knows the background.

Capture & synthesis

Where messy input turns into something useful. I dump everything in, then use AI to connect it and pull out what matters.

Project & decision memory

A record of what I chose and why. Old decisions stay easy to find, so I'm not solving the same problem twice.

Reusable systems

Templates, checklists, and frameworks I built once and keep reusing. The parts of my process I don't need to reinvent.

Tools come and go. The system that holds what I've learned is what keeps me fast, and my judgment is still the thing steering it.

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 Cowork

Planning and presentations

  • Gamma
  • Obsidian Second Brain

UX and flows

  • Figma
  • Whimsical

AI prototyping

  • Claude Design
  • Vercel v0

Code

  • Cursor
  • VS Code
  • Claude Code

Frontend

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

Backend and deployment

  • Cloudflare
  • Supabase

Agents & Automation

  • Claude Cowork
  • n8n
  • Make
  • Zapier

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 Claude
  2. Define & strategize

    Problem framing, user needs, and prioritization.

    Claude Cowork Gamma
  3. Map & structure

    User flows, information architecture, and content structure.

    Claude Cowork
  4. Design & prototype

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

    Figma Claude Design
  5. Build & iterate

    Production code, components, and rapid iteration.

    Cursor Claude Code
  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.