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  • Book Overview & Buying Building Agentic AI Systems
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Building Agentic AI Systems

Building Agentic AI Systems

By : Anjanava Biswas, Wrick Talukdar
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Building Agentic AI Systems

Building Agentic AI Systems

4 (1)
By: Anjanava Biswas, Wrick Talukdar

Overview of this book

Gain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks. Starting with the foundations of GenAI and agentic architectures, you’ll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents. Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.
Table of Contents (18 chapters)
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Part 1: Foundations of Generative AI and Agentic Systems
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Part 2: Designing and Implementing Generative AI-Based Agents
10
Part 3: Trust, Safety, Ethics, and Applications

Summary

In this chapter, we explored the CWD model as a framework for designing effective multi-agent systems. Starting with the foundational concepts from early role-based research, we saw how these principles adapt perfectly to modern LLM-based agent architectures. We examined this through a practical travel planning system, where different agents – from flight bookers to activity planners – work together under a clear hierarchical organization. Key takeaways highlight the importance of well-defined roles and responsibilities within multi-agent systems, ensuring that each agent operates with clarity and purpose. They emphasize how specialized worker agents collaborate effectively under the oversight of coordinators, who align their efforts with overarching goals. Delegators play a crucial role in managing tasks and facilitating smooth workflow distribution. Additionally, the chapter underscored the significance of effective communication and collaboration patterns,...

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Building Agentic AI Systems
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