Course 1 — Capstone

Capstone: Build Your Amazon AI Workspace

Estimated time to complete: 1-2 hours

🎧 Listen to this module:

You have covered all the concepts. Now it is time to build the actual workspace you will use going forward. This capstone brings everything together into a single, verified setup.

Work through the checklist below in order. Each step confirms that a piece of your Level 2 setup is in place and working.

The Level 2 Setup Checklist

Step 1: Install VS Code and Claude Code

  • VS Code installed on your computer
  • Claude Code extension installed in VS Code
  • Signed in with your Claude account
  • A workspace folder created and opened in VS Code

Verification: Open the Claude Code panel and type “hello” — confirm Claude responds.

Step 2: Create Your CLAUDE.md

  • CLAUDE.md created in the root of your workspace folder
  • Includes: at least 3 ASINs with descriptions
  • Includes: your PPC targets (ACoS, budget caps)
  • Includes: your brand voice description
  • Includes: key contacts (main supplier at minimum)
  • Includes: folder paths (/reports, /products, etc.)

Verification: Open Claude Code and ask “What do you know about my Amazon business?” — Claude should describe your business accurately from CLAUDE.md.

Step 3: Create Your MEMORY.md

  • MEMORY.md created in the root of your workspace folder
  • Includes: at least one recent business decision
  • Includes: at least one current priority or active situation
  • Includes: at least one preference about how you work with Claude

Verification: Ask Claude “What are my current priorities and any recent decisions I’ve made?” — it should reference your MEMORY.md entries.

Step 4: Set Up Your Folder Structure

  • /reports folder created
  • /products folder created
  • /emails folder created
  • /listings folder created
  • /analysis folder created
  • At least one real file in /reports (a CSV export)

Verification: Ask Claude to summarize the file in /reports — confirm it reads it without you pasting any content.

Step 5: Connect to GitHub

  • GitHub account created (free)
  • Private repository created (e.g., “amazon-ai-workspace”)
  • Workspace folder connected to the repository via VS Code Source Control
  • CLAUDE.md and MEMORY.md pushed to GitHub

Verification: Go to your GitHub repository in a browser — confirm CLAUDE.md and MEMORY.md appear there.

Step 6: Run 3 Real Tasks From Module 8

Pick three of the five use cases from Module 8 and run them now using your actual files. The goal is not perfect output — the goal is to confirm the workflow end-to-end.

  • Task 1 complete: ___________________________
  • Task 2 complete: ___________________________
  • Task 3 complete: ___________________________

Verification: Each task produced an output file in /analysis or the relevant folder — not just a chat response.

You Are Now Operating at Level 2

If you completed all six steps, you have:

  • A Claude Code workspace with permanent business context
  • A folder structure that lets Claude work on your real files
  • Version-controlled configuration backed up on GitHub
  • Direct experience running file-based AI tasks on real Amazon data

That is Level 2. Claude knows your business, works with your files, and delivers output you can actually use — without re-explaining yourself at the start of every session.

What Is Next

Level 2 is where most sellers will spend most of their time. But if you want to go further — if you want Claude running scheduled reports, connecting to live Amazon data, and chaining multi-step workflows without you initiating them — that is what Course 2 covers.

Ready for Level 3?

Course 2 shows you how to move from “AI that works when you ask it to” to “AI that runs on its own.” Connect to real-time Amazon data, set up scheduled automated workflows, and build multi-agent pipelines that operate while you focus on other things.

Start Course 2: From Agent to Automation System →

Also: if you have not yet explored the Seller Labs Amazon MCP — the tool that gives Claude live access to your Amazon orders, inventory, and advertising data — that is where Course 2 starts to get really powerful.

Learn About the Seller Labs Amazon MCP →