Milestone 1: Documentation Foundation Structure

Created complete documentation structure with: • Root README.md with repository overview • Documentation directory structure (01-05 + templates) • Migrated content from public repository • New operational documentation • Comprehensive templates for business workflows Sections: 1. 01-business-strategy/ - Business vision, market analysis, financials 2. 02-technical-architecture/ - Infrastructure, AI agents, deployment 3. 03-operations/ - Client onboarding, support processes 4. 04-customer-portal/ - Placeholder for client-facing docs 5. 05-development/ - Placeholder for dev standards 6. templates/ - 5 reusable business templates This commit establishes the foundation for the repository reorganization. Content review will be conducted separately.
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+     1|# 06 - OpenMAIC Education — Home
+     2|**Purpose:** OpenMAIC (Open Multi-Agent AI Collaboration) educational resources and curriculum.
+     3|
+     4|## What is OpenMAIC?
+     5|
+     6|OpenMAIC (Open Multi-Agent AI Collaboration) is an educational framework designed to help teams understand and implement multi-agent AI systems. It provides:
+     7|
+     8|- **Structured Curriculum:** From fundamentals to advanced patterns
+     9|- **Hands-on Exercises:** Real-world practice through coding challenges
+    10|- **Community Learning:** Collaborative problem-solving and knowledge sharing
+    11|
+    12|## Curriculum Structure
+    13|
+    14|### **Module 1: Fundamentals**
+    15|- Introduction to multi-agent systems
+    16|- Agent role definition and capabilities
+    17|- Basic orchestration patterns
+    18|- Simple agent collaboration examples
+    19|
+    20|### **Module 2: Advanced Collaboration**
+    21|- Complex workflow design
+    22|- Context sharing between agents
+    23|- Error handling and recovery
+    24|- Performance optimization
+    25|
+    26|### **Module 3: Production Patterns**
+    27|- Scaling to 10+ agents
+    28|- Monitoring and diagnostics
+    29|- Security best practices
+    30|- Cost optimization strategies
+    31|
+    32|### **Module 4: Real-World Applications**
+    33|- Market analysis automation
+    34|- Customer support orchestration
+    35|- Content pipeline automation
+    36|- Data processing workflows
+    37|
+    38|## Getting Started
+    39|
+    40|```bash
+    41|# Step 1: Install OpenMAIC
+    42|pip install openmaic-core openmaic-visualizer
+    43|
+    44|# Step 2: Clone learning resources
+    45|git clone https://github.com/sysloggh/openmaic-learning.git
+    46|cd openmaic-learning/modules
+    47|
+    48|# Step 3: Start with Module 1
+    49|python module01_fundamentals.py
+    50|```
+    51|
+    52|## Example Agent Collaboration
+    53|
+    54|```python
+    55|from openmaic.core import Orchestrator, Agent
+    56|
+    57|# Initialize orchestrator
+    58|orchestrator = Orchestrator(
+    59|    max_agents=3,
+    60|    collaboration_mode="sequential"
+    61|)
+    62|
+    63|# Create agents
+    64|researcher = Agent(name="researcher", role="Research Assistant")
+    65|analyst = Agent(name="analyst", role="Data Analysis")
+    66|writer = Agent(name="writer", role="Content Generator")
+    67|
+    68|# Execute workflow
+    69|result = orchestrator.run([
+    70|    researcher.run(task="Research AI trends"),
+    71|    analyst.run(task="Analyze market data"),
+    72|    writer.run(task="Write market report")
+    73|])
+    74|```
+    75|
+    76|## Use Cases at Syslog GH/LLC
+    77|
+    78|- **Market Research Automation:** Automatically gather and analyze SMB AI adoption data
+    79|- **Content Generation:** Create service descriptions and case studies
+    80|- **Customer Support:** Multi-agent Q&A for client inquiries
+    81|- **Code Review Agents:** Automated code quality checks
+    82|
+    83|## Related Resources
+    84|
+    85|- **[Autonomous AI Agents](../04\ -\ Autonomous\ AI\ Agents/)** — Advanced workflows
+    86|- **[Claude Code & Opencode](../01\ -\ Claude\ Code\ \&\ Opencode/)** — Practical implementation
+    87|- **[MCP (Model Context Protocol)](../03\ -\ MCP\ \(Model\ Context\ Protocol\)/)** — Tool integration
+    88|
+    89|---
+    90|
+    91|*Perfect for Jerome & Theodore's strategy sessions on AI agent frameworks and multi-agent collaboration patterns. This curriculum supports our mission to educate SMBs on AI adoption while building our own agent capabilities.*
+    92|