AI Orchestration Mastery - Course Repository

Welcome! You're about to learn systematic AI agent orchestration by building a production CRM from scratch.

Getting Started

→ Start here: Day 1: Tools & Setup

This is a 5-day course teaching AI orchestration patterns:

• Day 1: Foundation - Understanding Claude Code and AI coordination
• Day 2: AI Intelligence - Introducing the orchestration partner pattern
• Day 3: Authentication, Real-Time & Git Worktrees - Secure features and parallel development
• Day 4: Mobile Application - Multi-platform coordination
• Day 5: Polish & Demos - Professional presentation and deployment

Course Structure

• /course/ - Your learning path (start here)
• .claude/ - Orchestration tooling and reference materials (introduced on Day 2)

What You'll Build

Through this course, you'll orchestrate AI agents to build a complete CRM application with:

Day 1: Foundation

• NestJS backend + React frontend with PostgreSQL
• CSV lead import with sample leads and interaction history
• Dashboard with CRUD operations (view, add, edit, delete leads)
• Testing infrastructure (Jest + integration tests)

Day 2: Methodology + AI Intelligence Layer

• AI lead summaries (LLM-generated 2-3 sentence summaries with persistent storage)
• AI activity scoring (0-100 score with color-coded badges, dashboard sorting)
• AI task recommendations (LLM suggests next steps with reasoning)
• Advanced MCP servers (Sequential Thinking, Zen)
• Orchestration partner pattern and workspace management

Day 3: Authentication + Real-Time Features

• JWT authentication (register, login, protected routes)
• Real-time WebSocket notifications with persistent storage
• Git worktrees for parallel feature development
• Serena MCP for semantic code navigation

Day 4: Mobile Application

• React Native mobile app with Expo
• Lead list and detail screens
• Display AI summaries and scores on mobile

Day 5: Polish, Demos & Brownfield Extension

• Complete any missing features
• Polish and refinement
• Group demos
• Brownfield extension session (applying methodology to company codebases)

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Quick Start

1. Clone the original repository

git clone https://github.com/luxurypresence/auggie-academy.git
cd auggie-academy

2. Create your personal repo in GitHub

Each engineer should have their own copy of the repo in the org, named: auggie-academy-YOUR-NAME

1. Go to luxurypresence's GitHub org → New Repository
2. Name it auggie-academy-YOUR-NAME (e.g., auggie-academy-elisabeth)
3. Leave it empty (no README, no .gitignore)
4. Click Create repository

3. Point your local repo to your new personal repo

# Rename the original remote to "upstream"
git remote rename origin upstream

# Add your personal repo as "origin"
git remote add origin https://github.com/luxurypresence/auggie-academy-YOUR-NAME.git

# Push to your personal repo
git push -u origin main

Now your git remotes are:

• origin → your personal copy (auggie-academy-YOUR-NAME)
• upstream → the shared source repo (auggie-academy)

Workflow direction:

• Push → Your work goes to origin (your personal repo)
• Pull → Course updates come from upstream (shared repo)

4. Keep your copy up to date with upstream

As the course evolves and new content is added to the shared repo:

# Fetch latest from upstream (pull from shared repo)
git fetch upstream

# Rebase your work on top of upstream changes
git rebase upstream/main

# Push to your personal repo (push to your copy)
git push origin main

How this workflow works:

• You pull updates from upstream (the shared course repo)
• You push your work to origin (your personal copy)
• Your personal repo contains your code implementations + all course materials
• Upstream updates bring new chapters, fixes, or additional course content

If you need to pull from YOUR OWN repo:

# Pull your personal work from origin
git pull origin main

5. Initialize your environment

# Copy environment template
cp .env.local.template .env.local

# Edit .env.local with your database credentials, OPENROUTER_API_KEY
# (You'll set up PostgreSQL during Day 1 infrastructure setup)

6. Start Day 1

👉 Begin: Day 1 - Tools & Setup

The companion guides are your trail - follow sessions sequentially (01 → 02 → 03...).

See full 5-day trail: Companion overview

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What's in This Repository

Course materials (your primary path):

• 📚 course/guidebook/ - Day-by-day learning path + deep-dive chapters
• 📖 course/appendix/ - Manual usage guides and reference materials

Orchestration tooling (introduced on Day 2):

• ⚡ .claude/orchestration-partner/playbook/ - Quick operational references
• 🔧 .claude/orchestration-partner/methodology/ - Complete technical specifications
• 📋 .claude/orchestration-partner/templates/ - Agent prompts and handoff templates
• ⚙️ .claude/orchestration-partner/meta/ - Project context files
• 🤖 .claude/commands/ - Custom slash commands

→ See .claude/README.md for orchestration tooling guide

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What You'll Learn

This intensive course teaches systematic AI agent orchestration through hands-on feature development. You'll master:

• Infrastructure-first pattern (foundation before features)
• Strategic orchestration (proactive blocker removal)
• Parallel agent coordination (build multiple features simultaneously)
• Validation gates (TypeScript, ESLint, tests, browser/device testing)
• Professional practices (A+ code quality, demo readiness)