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|# 04 - Autonomous AI Agents — Home
+     2|**Purpose:** Research and implementation of autonomous agent workflows.
+     3|
+     4|## Overview
+     5|
+     6|Autonomous AI agents can execute multi-step tasks independently, learn from experience, and make decisions based on context. This section covers advanced orchestration patterns for production-grade agent systems.
+     7|
+     8|## Key Capabilities
+     9|
+    10|### **Multi-Agent Collaboration**
+    11|- Role-based agent delegation
+    12|- Cross-agent memory sharing
+    13|- Conflict resolution protocols
+    14|- Distributed task execution
+    15|
+    16|### **Autonomous Behaviors**
+    17|- Self-correction loops
+    18|- Error recovery mechanisms
+    19|- Performance optimization
+    20|- Adaptive resource allocation
+    21|
+    22|### **Advanced Patterns**
+    23|- Agent swarms (10+ coordinated agents)
+    24|- Continuous learning cycles
+    25|- Human-in-the-loop intervention points
+    26|- Audit trails and observability
+    27|
+    28|## Implementation Strategies
+    29|
+    30|### **Sequential Workflows**
+    31|```python
+    32|agent1.run(task="Research market")
+    33|agent2.run(task="Analyze data")
+    34|agent3.run(task="Generate report")
+    35|```
+    36|
+    37|### **Parallel Workflows**
+    38|```python
+    39|results = await asyncio.gather(
+    40|    agent1.run(task="A"),
+    41|    agent2.run(task="B"),
+    42|    agent3.run(task="C")
+    43|)
+    44|```
+    45|
+    46|### **Feedback Loops**
+    47|```python
+    48|while not agent.is_satisfied(result):
+    49|    agent.improve(result)
+    50|    result = agent.execute(prompt)
+    51|```
+    52|
+    53|## Use Cases
+    54|
+    55|- Market research automation
+    56|- Multi-step data analysis pipelines
+    57|- Customer support orchestration
+    58|- Content generation workflows
+    59|- Codebase refactoring agents
+    60|
+    61|## Related Frameworks
+    62|
+    63|- **[OpenClaw](../02\ -\ OpenClaw\ Framework/)** — Agent orchestration platform
+    64|- **[MCP](../03\ -\ MCP\ \(Model\ Context\ Protocol\)/)** — Tool integration layer
+    65|- **[OpenMAIC](../06\ -\ OpenMAIC\ Education/)** — Educational resources
+    66|
+    67|---
+    68|
+    69|*Advanced agent patterns for Jerome & Theodore's complex automation projects.*
+    70|