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Fix broken links in README and add missing intro files
- Update links to point to files included in SUMMARY.md - Create production-frameworks-intro.md for Book 2 - Create advanced-integration-intro.md for Book 3 - This should resolve mdbook linkcheck failures
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‎src/README.md‎

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@@ -40,7 +40,7 @@ Transforms single-user agents into enterprise-ready collaborative platforms. Bas
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Essential reading for teams scaling AI assistants from prototype to production collaborative environments.
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[**Continue with Book 2 →**](second-edition/README.md)
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[**Continue with Book 2 →**](production-frameworks-intro.md)
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### Book 3: Contextualizing an Agentic System
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*Advanced Tools and Context*
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Perfect for engineers building sophisticated agent capabilities and context-aware systems.
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[**Explore Book 3 →**](arming-introduction.md)
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[**Explore Book 3 →**](advanced-integration-intro.md)
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## Who This Is For
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**New to agentic systems?** → [Start with Book 1: Building an Agentic System](introduction.md)
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**Ready for collaboration & scale?** → [Jump to Book 2: Amping Up an Agentic System](second-edition/README.md)
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**Ready for collaboration & scale?** → [Jump to Book 2: Amping Up an Agentic System](production-frameworks-intro.md)
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**Want the big picture first?** → [System Architecture Overview](core-architecture.md)
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‎src/advanced-integration-intro.md‎

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# Book 3: Advanced Integration
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*Enterprise Patterns and Scaling*
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## Introduction
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This book provides deep dive into advanced tool systems and context management for agentic systems. Building on the foundations from Books 1 and 2, we explore sophisticated patterns for enterprise deployment, custom tool development, and advanced system architecture.
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## What You'll Learn
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### Tool System Architecture
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- Extensible frameworks for adding new capabilities
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- Plugin architectures and extension points
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- Tool composition and orchestration patterns
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### Command System Design
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- Advanced slash command implementations
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- Contextual help systems and auto-completion
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- Configuration management and user preferences
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### Context Management
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- Advanced conversation context strategies
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- Long-term memory and knowledge persistence
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- Context window optimization techniques
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### Implementation Deep Dives
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- Real-world tool system implementations
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- Performance optimization strategies
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- Error handling and recovery patterns
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### Scaling and Performance
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- Multi-agent orchestration at scale
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- Resource allocation and load balancing
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- Performance monitoring and optimization
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### Enterprise Considerations
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- Compliance and governance frameworks
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- Security assessment and risk management
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- Integration with existing enterprise systems
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## Prerequisites
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- Completion of Books 1 and 2, or equivalent production experience
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- Advanced understanding of distributed systems
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- Experience with enterprise software architecture
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- Familiarity with performance optimization techniques
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## Target Audience
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This book is designed for:
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- **Senior Engineers** building sophisticated agent capabilities
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- **System Architects** designing enterprise AI systems
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- **Technical Leaders** making strategic technology decisions
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- **Platform Engineers** building AI infrastructure at scale
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## Structure
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The book is organized into three comprehensive parts:
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1. **Tool System Architecture** - Building extensible and maintainable tool systems
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2. **Scaling and Performance** - Handling enterprise-level load and complexity
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3. **Enterprise Considerations** - Compliance, security, and organizational integration
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Each section combines theoretical frameworks with practical implementation examples, drawn from real production deployments.
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## Advanced Topics Covered
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- Custom MCP (Model Context Protocol) server development
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- Advanced parallel execution strategies
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- Enterprise authentication and authorization
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- Multi-tenant architecture patterns
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- Advanced monitoring and observability
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- Cost optimization at scale
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---
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*Ready for enterprise-grade AI systems? Let's dive deep.*

‎src/production-frameworks-intro.md‎

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# Book 2: Production Frameworks
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*From Local to Collaborative*
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## Introduction
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This book transforms single-user AI agents into enterprise-ready collaborative platforms. Based on extensive analysis of production systems like Amp and Claude Code, we explore proven patterns for scaling AI assistants from prototype to production collaborative environments.
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## What You'll Learn
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### Scalable Architecture
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- Conversation management and state synchronization
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- Performance optimization at enterprise scale
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- Resource management and cost optimization
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### Authentication & Identity
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- OAuth flows and credential management
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- Multi-environment support strategies
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- Security models for collaborative systems
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### Collaboration Patterns
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- Real-time sharing and team workflows
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- Concurrent editing strategies
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- Conflict resolution and state consistency
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### Enterprise Features
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- SSO integration and identity management
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- Usage analytics and monitoring
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- Compliance frameworks and governance
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### Advanced Orchestration
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- Multi-agent coordination patterns
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- Adaptive resource management
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- Performance monitoring and optimization
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### Production Strategies
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- Deployment patterns and infrastructure
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- Migration frameworks and rollout strategies
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- Real-world case studies and lessons learned
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## Prerequisites
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- Completion of Book 1 or equivalent experience with AI agent systems
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- Understanding of distributed systems concepts
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- Familiarity with authentication and authorization patterns
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- Experience with team collaboration tools
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## Target Audience
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This book is essential reading for:
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- **Platform Teams** scaling AI assistants from prototype to production
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- **Technical Leaders** architecting collaborative AI systems
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- **DevOps Engineers** deploying and maintaining AI agent infrastructure
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- **Product Managers** understanding the technical considerations for collaborative AI tools
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## Getting Started
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The book is organized into three main parts:
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1. **Framework Wars Analysis** - Understanding the current landscape and making informed choices
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2. **Implementation Strategies** - Practical approaches to scaling and collaboration
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3. **Client-Focused Workflows** - Managing the business aspects of AI-assisted development
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Each section builds upon the previous, providing both theoretical understanding and practical implementation guidance.
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---
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*Ready to scale your AI agent? Let's begin.*

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