📚 Core Chapters

• Chapter 1: Prompt Chaining
• Chapter 2: Routing
• Chapter 3: Parallelization
• Chapter 4: Reflection
• Chapter 5: Tool Use (Function Calling)
• Chapter 6: Planning
• Chapter 7: Multi-Agent Collaboration
• Chapter 8: Memory Management
• Chapter 9: Learning and Adaptation
• Chapter 10: Model Context Protocol (MCP)
• Chapter 11: Goal Setting and Monitoring
• Chapter 12: Exception Handling and Recovery
• Chapter 13: Human-in-the-Loop
• Chapter 14: Knowledge Retrieval (RAG)
• Chapter 15: Inter-Agent Communication (A2A)
• Chapter 16: Resource-Aware Optimization
• Chapter 17: Reasoning Techniques
• Chapter 18: Guardrails/Safety Patterns
• Chapter 19: Evaluation and Monitoring
• Chapter 20: Prioritization
• Chapter 21: Exploration and Discovery

📖 Appendices

• Appendix A: Advanced Prompting Techniques
• Appendix B - AI Agentic Interactions: From GUI to Real world environment
• Appendix C - Quick overview of Agentic Frameworks
• Appendix D - Building an Agent with AgentSpace (on-line only)
• Appendix E - AI Agents on the CLI
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• Appendix F - Under the Hood: An Inside Look at the Agents' Reasoning Engines
• Appendix G - Coding agents

📝 Additional Content

• Frequently Asked Questions: Agentic Design Patterns
• Glossary
• Index of Terms
• Conclusion

📂 Project Information

• Contributing Guide
• Glossary Comparison