Agentic Design Patterns
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Agentic Design Patterns
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Author : Antonio Gullí
language : en
Publisher: Springer Nature
Release Date : 2025-12-01
Agentic Design Patterns written by Antonio Gullí and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-01 with Computers categories.
This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effectively. Each of the 21 Design Patterns represents a fundamental building block for creating agents that can perceive their environment, make informed decisions, and execute actions autonomously. Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems is structured as a comprehensive hands-on guide, with each chapter dedicated to a single agentic pattern. Within each chapter, you will find a detailed pattern overview, practical applications and use cases, one or more hands-on code example, and key takeaways for quick review. From foundational concepts such as Prompt Chaining and Tool Use to advanced topics like Multi-Agent Collaboration and Self-Correction, readers will gain practical knowledge they can immediately apply. While the chapters build on each other, you can also use the book as a handy reference, jumping to patterns that address your specific challenges. To provide a tangible "canvas" for the code examples, this guide utilizes three prominent agent development frameworks: LangChain and its extension LangGraph, which offer a flexible way to build complex operational sequences; Crew AI, which provides a structured framework for orchestrating multiple agents; and the Google Agent Developer Kit (Google ADK), which offers tools for building, evaluating, and deploying agents. By showcasing examples across these tools, you will gain a broad understanding of how these patterns can be applied in any technical environment. Building effective agentic systems requires more than just a powerful language model; it demands structure and design. Agentic patterns provide reusable, battle-tested solutions to common challenges, much like design patterns in software engineering. They offer a common language that makes an agent's logic clearer, more maintainable, and more robust. By the end of this journey, you will possess both the theoretical understanding and the practical skills to implement these 21 essential patterns, enabling you to build more intelligent, capable, and autonomous systems on your chosen development canvas.
Agentic Design Patterns Made Simple
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Author : Mason J Everett
language : en
Publisher: Independently Published
Release Date : 2025-10-26
Agentic Design Patterns Made Simple written by Mason J Everett and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-26 with Computers categories.
Artificial intelligence has entered a new phase - one where systems no longer just respond but act, adapt, and collaborate on their own. Agentic Design Patterns Made Simple: A Practical Guide to Building Smarter AI Systems gives you the knowledge and structure to design these next-generation intelligent systems with clarity and confidence. This book is a complete guide to understanding and applying agentic design patterns - reusable frameworks that help AI agents think, plan, and execute tasks autonomously. From the fundamentals of tool use and prompt chaining to advanced multi-agent collaboration and adaptive behavior, each chapter bridges theory with hands-on practice. You'll move through the entire architecture of intelligent agent design - understanding how agents perceive their environment, make informed decisions, delegate complex tasks, and improve through feedback. With clear explanations, real-world examples, and guided exercises, this book turns technical complexity into practical steps anyone can follow. Inside, you'll learn how to: Build structured, scalable AI agents using modern frameworks such as LangChain and LangGraph. Design workflows where multiple agents work together efficiently. Apply reinforcement learning principles to create adaptive and goal-driven systems. Implement responsible and ethical AI design that prioritizes fairness, privacy, and accountability. Evaluate, test, and maintain large AI systems with confidence and precision. Each chapter stands on its own as a practical reference - from foundational design principles to hands-on exercises that simulate real development scenarios. Whether you're developing applications for business, research, or personal innovation, Agentic Design Patterns Made Simple gives you the structure, reasoning, and patterns needed to turn ideas into working, intelligent systems. If you want to move from theory to mastery - from reactive AI to autonomous design - this book is your guide to building the future of intelligent systems.
Agentic Design Patterns Made Easy
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Author : Julian Sanchez
language : en
Publisher: Independently Published
Release Date : 2025-10
Agentic Design Patterns Made Easy written by Julian Sanchez and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10 with Computers categories.
Artificial Intelligence is changing fast-moving from simple assistants to autonomous agents capable of reasoning, adapting, and solving complex problems. But for beginners, the challenge is clear: how do you actually build these smarter AI systems in a structured and reliable way? Agentic Design Patterns Made Easy is the practical beginner's guide you've been waiting for. Written in clear, accessible language, this book introduces the core design patterns that every developer, student, or tech enthusiast needs to know to start creating intelligent agents with confidence. Inside, you'll discover: Step-by-step explanations of foundational agentic design patterns, from simple prompt chaining to more advanced techniques like memory management, self-reflection, and multi-agent collaboration. Beginner-friendly coding examples that show you exactly how these patterns work in practice, so you can go from theory to application without guesswork. Practical use cases that connect each pattern to real-world challenges, helping you see how to apply them to chatbots, automation systems, research tools, and more. Hands-on guidance with popular frameworks including LangChain, LangGraph, Crew AI, and Google ADK, so you can build agents in today's most widely used development environments. Key takeaways at the end of each chapter for fast review and easy reference. Unlike dense academic texts, this book is designed to be approachable for beginners while still offering depth for those who want to grow their skills. Whether you're a developer entering the AI field, a student exploring agentic systems, or a professional looking to expand your toolkit, this guide will help you master the fundamentals of agent design without overwhelm. By the end of this book, you'll understand how to structure, build, and refine your own AI agents-giving you the confidence to create systems that are not just reactive, but truly intelligent and adaptive.
Agentic Design Patterns For Ai Systems
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Author : Dorian Shaw
language : en
Publisher: Independently Published
Release Date : 2025-10-23
Agentic Design Patterns For Ai Systems written by Dorian Shaw and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-23 with Computers categories.
Master the Art of Autonomous AI System Design Are you ready to unlock the future of intelligent, self-sustaining AI systems? Agentic Design Patterns for AI Systems is your essential, step-by-step guide to mastering the core principles behind building autonomous agents that not only think but act independently and efficiently. This book provides a comprehensive understanding of the design patterns necessary to create scalable, intelligent workflows for real-world applications. Why This Book is Your Ultimate AI Companion In this guide, you'll explore the cutting-edge agentic design patterns that power the world's most sophisticated AI systems. Whether you're building systems for machine learning, robotics, automation, or AI-driven workflows, this book provides you with the frameworks and techniques to make your agents more autonomous, adaptive, and capable of complex decision-making. From enhancing agent collaboration to optimizing the workflow, you'll learn how to design systems that not only handle tasks but excel in dynamic, evolving environments. What You'll Learn Inside Design Robust Agents: Learn how to build agents that think, act, and adapt autonomously using proven design patterns. Create Scalable AI Systems: Discover how to implement workflows that scale effortlessly as your AI system grows. Practical, Actionable Examples: Apply real-world case studies and hands-on coding examples that make complex concepts simple. Real-World Application Focus: Master how these design patterns are directly applicable to various industries, from robotics to data analysis. Who This Book is For Agentic Design Patterns for AI Systems is perfect for AI developers, machine learning engineers, and aspiring data scientists who want to enhance their skills in creating intelligent systems. Whether you're a beginner or an experienced AI practitioner, the actionable insights and practical examples in this book will take your projects to the next level. Transform Your Approach to AI With each chapter packed with detailed explanations and hands-on examples, you'll build the skills you need to create intelligent systems that are not only smart but scalable. No longer will you be limited by outdated or inefficient AI design techniques-this book equips you with the tools to stay at the cutting edge. Order your copy today and start building AI systems that can change the world. Ready to transform your AI skills and create smarter, autonomous agents? Don't wait-get your copy of Agentic Design Patterns for AI Systems and start building real-world AI solutions that scale.
The Agentic Ai Handbook
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Author : Kaushik Bar
language : en
Publisher: Independently Published
Release Date : 2025-09-17
The Agentic Ai Handbook written by Kaushik Bar and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-17 with categories.
What happens when artificial intelligence stops being a tool and starts becoming an autonomous partner? Agentic AI is poised to reshape industries, research, and society itself by combining decision-making autonomy, goal-directed learning, and self-reflection. This book offers a comprehensive guide to the foundations, architectures, and future trajectories of agentic AI systems. From the philosophical roots of agency and autonomy to the technical building blocks of planning, reasoning, memory, and perception, the book bridges theory and practice with clarity and depth. You'll explore classical AI paradigms alongside cutting-edge approaches like LLM-based agents, hybrid cognitive architectures, and multi-agent systems, while also examining their implications for safety, ethics, and human-AI collaboration. Structured in five parts, the journey begins with conceptual foundations, builds through technical architectures, explores real-world applications, and culminates in forward-looking insights into the role of agentic AI in Artificial General Intelligence (AGI) and beyond. Along the way, vivid diagrams, practical examples, and domain-specific use cases make complex concepts accessible without sacrificing rigor. For AI researchers, engineers, business leaders, and policy makers alike, The Agentic AI Handbook offers not only a roadmap for building intelligent autonomous systems but also a critical lens for evaluating their societal impact. Whether your goal is to design the next generation of adaptive agents, harness AI for transformative applications, or understand the challenges of aligning machine agency with human values, this book provides the foundation you need to navigate and shape the intelligent future.
Ai Revolution Research Ethics And Society
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Author : Hamid R. Arabnia
language : en
Publisher: Springer Nature
Release Date : 2026-01-01
Ai Revolution Research Ethics And Society written by Hamid R. Arabnia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-01 with Computers categories.
This book constitutes the proceedings of the International conference on AI Revolution: Research, Ethics and Society, AIR-RES 2025, held in Las Vegas, Navada, USA, during April 14–16, 2025. The AIR-RES Conference received 620 submissions, of which 131 papers were accepted, resulting in a paper acceptance rate of 21%.
The Agentic Ai Handbook
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Author : Venkatesh Rao
language : en
Publisher: Independently Published
Release Date : 2025-11-23
The Agentic Ai Handbook written by Venkatesh Rao and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-23 with Computers categories.
Are you building AI tools that just chat or agents that actually work? In an era where every product claims to be "AI-powered," The Agentic AI Handbook cuts through the noise and shows you how to build real-world LLM-powered agents that think, act and deliver outcomes. This is not a hype manual. It's a field-tested, code-friendly and builder-first blueprint for creating agents that go beyond prompt chaining and into true autonomy. Whether you're an indie hacker, a product manager or a developer shipping production AI, this handbook gives you the tools to: 1) Design Minimum Viable Agents (MVAs) that solve real problems 2) Architect memory, planning, and decision systems using modular patterns 3) Run evaluation tests to validate behavior and reduce hallucinations 4) Leverage reusable frameworks to scale agents across verticals ➡ What You'll Learn Inside: 1) The MVA Framework: Build usable agents in 48 hours 2) 8+ Design Patterns from real deployments 3) Agent Tests: Evaluate performance without needing human labels 4) State Machines + Toolchains made simple 5) Memory Architectures that persist context effectively 6) Best practices from builders deploying agents in finance, ops, customer support, and more ➡ Who This Book Is For: 1) Builders who want to go from "toy GPT project" to real-world agent 2) Product managers and founders exploring agent-first products 3) LLM enthusiasts looking to move beyond tutorials and demos 4) Anyone tired of "AI" that only outputs text-and wants to build systems that do things ➡ Why This Book Stands Out: No fluff. No hype. Real code, tested frameworks, production-ready patterns. 100+ pages of distilled insights designed for high-agency builders. Written by a practitioner deploying agentic systems in the wild.
Artificial Intelligence
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Author : Rajendra Akerkar
language : en
Publisher: Springer Nature
Release Date : 2026-01-01
Artificial Intelligence written by Rajendra Akerkar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-01 with Computers categories.
Artificial Intelligence: Transcending Traditional Paradigms is a significant new introductory text for undergraduate and graduate course use. It introduces students and professionals to the state-of-the-art development of Artificial Intelligence techniques to develop smart real-world solutions. As an active researcher, the author presents the material authoritatively and with insights that reflect a modern, firsthand understanding of the field. Artificial intelligence is a science still in its infancy, and that makes it special. It’s not like more established fields, and the author has tried in writing this textbook to honour this characteristic and the ways it makes AI unique.
The Fintech Revolution
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Author : Sucharita Gopal
language : en
Publisher: Springer Nature
Release Date : 2025-01-06
The Fintech Revolution written by Sucharita Gopal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-06 with Business & Economics categories.
In a world of unprecedented challenges and opportunities, Fintech stands as a pivotal force, at the crossroads of technology, finance, and sustainability. This book invites readers to the forefront of a revolutionary convergence, where economic growth and environmental stewardship align. Whether the reader is a decision-maker, innovator, entrepreneur, or investor within the Fintech industry, this is a guide to a future where finance and technology serve our planet. Authored by experts in GIS, AI, and remote sensing, who are also seasoned entrepreneurs, this unique work offers both theory and practical guidance, discovers sources often overlooked in ESG analytics, dives into specific, not general, KPIs for industry professionals, and navigates global regulations and frameworks with ease. Real-world case studies unveil the value of applied methods, supported by insights from leading practitioners, explore the latest developments in AI and machine learning, and uncover a step-by-step data science analysis framework.
Mastering Agentic Patterns For Adaptive Ai Systems
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Author : Gilbert Huie
language : en
Publisher: Independently Published
Release Date : 2025-06-03
Mastering Agentic Patterns For Adaptive Ai Systems written by Gilbert Huie and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-03 with Computers categories.
Mastering Agentic Patterns for Adaptive AI Systems: Workflow Patterns for Building Independent AI Agents As artificial intelligence evolves beyond chatbots and static responses, a new class of software emerges-agents that think, act, learn, and adapt on their own. These aren't just tools. They're collaborators. And building them requires a new mindset, a new architecture, and a new set of design patterns. Mastering Agentic Patterns for Adaptive AI Systems is the definitive guide to designing, building, and scaling intelligent agents that operate autonomously, coordinate in teams, and evolve with experience. Whether you're an AI engineer, backend developer, system architect, or applied researcher, this book provides a clear, practical foundation for crafting agents that move beyond reactive prompts toward proactive, goal-driven behavior. Inside, you'll learn how to: Architect agents with modular memory systems-episodic, semantic, and working-to support long-term reasoning. Implement agent workflows using patterns like Reflect-Act-Learn (RAL), Plan-Execute-Observe-Refine (PEOR), and Goal-Intent-Task-Action (GITA). Build collaborative multi-agent environments with messaging protocols, conflict resolution, and shared task allocation. Apply real-world frameworks like CrewAI, AutoGen, and LangGraph to orchestrate tools, APIs, and LLMs. Design systems that adapt in real-time using feedback loops, self-correction, and dynamic goal alignment. Manage challenges like agent hallucination, autonomy control, and performance measurement. Use production-ready templates, telemetry tools, and debugging strategies to ensure reliability and composability. Every chapter combines conceptual clarity with production-oriented techniques-equipping you to go from theory to real deployments with confidence. Whether you're building autonomous research assistants, intelligent writing agents, developer copilots, or multi-agent platforms-this book will give you the architecture, strategies, and patterns to do it right. Don't just build prompts. Build minds. Grab your copy of Mastering Agentic Patterns for Adaptive AI Systems and start creating agents that truly think, act, and evolve.