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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

Focused system prompts and instructions for agents

Focused instruction plays a crucial role in directing the actions of an intelligent agent. It lays down the objective of the agent, its constraints, and the operating context. The clarity and explicitness of these instructions often significantly influence the agent’s performance in achieving its intended goals.

Defining objectives

Defining clear objectives is a critical aspect of focused instruction for intelligent agents. Well-defined objectives serve as the foundation from which an agent’s intended functions and behaviors are derived, guiding its actions and decision-making processes toward achieving specific goals.

To put this into perspective, let’s continue our discussion with the example of our intelligent travel agent placed in a customer service role. The objective would be to maximize customer satisfaction by providing personalized travel solutions and resolving any queries or issues effectively...

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Building Agentic AI Systems
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