Agentic AI For Dummies® (Pam Baker) (z-library.sk, 1lib.sk, z-lib.sk)

Agentic AI For Dummies® To view this book's Cheat Sheet, simply go to www.dummies.com and search for “Agentic AI For Dummies Cheat Sheet” in the Search box. Table of Contents Cover Table of Contents Title Page Copyright Introduction About This Book Foolish Assumptions Icons Used in This Book Beyond the Book Where to Go from Here Part 1: Understanding Agentic AI Chapter 1: Introducing Agentic AI Defining Agentic AI Reasoning as AI’s Way Forward Differentiating between AI Agents and Agentic AI Mapping the Path from Prompt Engineering to AI Autonomy The Budding Agentic AI Web Following the Shift to A-Commerce Chapter 2: Peeking Inside the AI Agent Mind

Linking the Fundamental Building Blocks Exploring Reasoning, Memory, and Goal Setting Understanding Adaptive Behavior and Self-Directed Learning Directing Agentic AI Combining Generative Abilities and Real-Time Decision-Making Chapter 3: Meeting Agentic AI Core Technologies Driving Multi-Agent Coordination and Planning Connecting Contextual Awareness and Situational Reasoning Self-Correcting Continuous Improvement Shifting to Multimodal Input and Cross-Domain Functionality Streamlining Integrations Using New Protocols Building AI Agents Chapter 4: Interacting with Agentic AI Mistaking AI as a Colleague Creates Errors Comparing Context Engineering to Prompt Engineering Evolving Voice, Intent, and Semantic Interface Design Rising Hyper-Real AI Avatars Personalizing Workflows Shifting from Apps to Agents Forbidding AI Agents from Running Certain Machines Part 2: Getting Started on the Agentic AI Path Chapter 5: Planning for the Shift to Agentic AI Systems Comparing Generative AI to Agentic AI with Goals in Mind Thinking Through an Agentic AI Plan Following the Steps for Planning and Implementing Agentic AI Chapter 6: Sampling Sector Use Cases for AI Agents Developing Healthcare, Diagnostics, and Pharmaceuticals Building Business Operations and Decision Support Adding AI Agents for Marketing, Customer Experience, and Inventory Creating Content: Writing, Design, and Media

Reinventing Education Chapter 7: Considering Risks, Ethics, and Hard Questions Losing Human Skill and Baseline Knowledge Autonomy versus Control: Establishing Who’s in Charge Discovering Alignment Problems and Value Misfires Missing Transparency and Explainability Revisiting Bias, Justice, and Inclusivity Hallucinating AI Agents at the Wheel? Part 3: Agentic AI in the Real World Chapter 8: Reshaping Work with Agentic AI Shaping Human Minds and Mindsets Augmenting Human Judgment and Creativity Redefining Job Roles and Workflows Collaborating with Shared Intelligence Surviving the Transition to the Agentic AI Workplace Chapter 9: Predicting Agentic AI’s Economic Impact Predicting Productivity Gains and Automation Impacts Deciding Who or What Gets the Job Strategies for Delegating Tasks to Humans or AI Agents Determining Impact on the Future of Work Chapter 10: Building Agentic Systems Responsibly Developing Design Principles for Safe Autonomy Tying Together Design Principles Training AI Agents Evolving beyond Data Training: World Models Part 4: Exploring Myths and Realities Chapter 11: Dispelling Common Agentic AI Misconceptions Agentic AI = Fully Autonomous, Uncontrollable Systems It’s Just a Fancier Chatbot Agents Replace People

Only Giant Companies Can Use Agentic AI It’s the Same as Traditional Automation Agentic AI Requires Universe-Sized Datasets Chapter 12: Upskilling for the Agentic Age Knowing What to Learn and Unlearn Roles for Technologists, Creative Professionals, and Leaders Lifelong Learning and Agile Adaptation Ethical Fluency and Human Judgment Emotional Intelligence versus Intuitive Intelligence Chapter 13: Scoping the Future of Agency Consciousness, Intent, and Artificial Goals Asking Philosophical and Existential Questions about Agentic AI Synthetic Agency and Collective Intelligence Possible Futures: Utopia, Dystopia, or Both? Part 5: The Part of Tens Chapter 14: Ten Surprising Ways Agentic AI Can Change Daily Life You Stop Googling So Much Errands Run Themselves Your Calendar Coordinates For You Your E-Mail Inbox Shrinks You Make Better Decisions You Have a Personal Finance Manager You Get Fully Personalized Learning You Don’t Have to Shop You Get a Travel Planner, Tour Guide, and Concierge Your Digital Presence Manages Itself Chapter 15: Ten Things Agentic AI Is Terrible at Doing Understanding Human Emotion in Context Making Moral or Ethical Judgments Handling Novel, Unstructured Problems

Using Creative Intuition and Artistic Vision Understanding the Bigger Picture Reacting to Sudden, High-Stakes Emergencies Balancing Competing Human Preferences Building Human Trust and Rapport Respecting Privacy and Boundaries Saying “I Don’t Know” Chapter 16: Ten Bold Predictions about the Future of Agentic AI Personal AI Agents Will Become as Common as Smartphones Agentic AI Ecosystems Will Replace Traditional Apps A-Commerce Will Surpass E-Commerce SEO Will Evolve into AI Agent Optimization Agentic AI Will Reshape Knowledge Work New Legal and Ethical Frameworks Will Emerge for AI Agents Agentic Education Will Become Mainstream Digital Labor Markets for Agents Will Form Healthcare Will See a Surge in AI-Driven Preventive Care Humans Using Special AI Agents Will Lead Major Social Movements Appendix Agentic AI Readiness Checklist Phases for Creating and Using Agentic AI Systems Index About the Author Connect with Dummies End User License Agreement List of Tables Chapter 2

TABLE 2-1 Interacting with GenAI versus Agentic AI TABLE 2-2 Comparing GenAI and Agentic AI Chapter 3 TABLE 3-1 ANP at a Glance: Pros and Cons TABLE 3-2 A2A at a Glance: Pros and Cons TABLE 3-3 ACP at a Glance: Pros and Cons TABLE 3-4 Agentic System-Building Frameworks Chapter 4 TABLE 4-1 Challenges in Context Engineering for Agentic AI Chapter 5 TABLE 5-1 Comparison of GenAI and Agentic AI Chapter 11 TABLE 11-1 GenAI Chatbot versus Agentic AI Systems Chapter 13 TABLE 13-1 Agentic AI versus AI Swarm Systems List of Illustrations Chapter 1 FIGURE 1-1: A screenshot of ChatGPT chatbot user interface. FIGURE 1-2: A screenshot of the Godmode interface. FIGURE 1-3: A screenshot of an AI agent pixie that offers a free landing- page g... Chapter 4 FIGURE 4-1: A side-by-side comparison of prompt engineering and context enginee... FIGURE 4-2: A comparison chart illustrating the user experience shift from trad... FIGURE 4-3: Comparison chart of app vs agent internet processes. FIGURE 4-4: Flowchart demonstrating how agentic AI coordinates across services ... FIGURE 4-5: A visual concept of an Agentic AI swarm, showing how multiple speci...

Chapter 5 FIGURE 5-1: A decision flowchart for choosing a pilot project. FIGURE 5-2: A diagram that shows how the Agentic AI architecture fits together.... FIGURE 5-3: A run-measure-refine cycle. Chapter 6 FIGURE 6-1: Agentic AI for upskilling robotic surgery comparison chart. FIGURE 6-2: A learning moment showing how context signals feed into the AI tuto... Chapter 8 FIGURE 8-1: The aiApply interface and its claims. FIGURE 8-2: Screenshot of Pine AI, showing easy buttons to get you started. Chapter 12 FIGURE 12-1: A learning feedback loop system embedded in the 70-20-10 learning ... FIGURE 12-2: A five-year (and beyond) learning plan for future-proofing your ca... Chapter 13 FIGURE 13-1: A screenshot from Anthropic’s internal evaluation of its multi-age... FIGURE 13-2: Visualizing a swarm of AI agents, AI style.

Agentic AI For Dummies® Published by: John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030-5774, www.wiley.com Copyright © 2026 by John Wiley & Sons, Inc. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. Media and software compilation copyright © 2026 by John Wiley & Sons, Inc. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the Publisher or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470, or on the web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions. The manufacturer’s authorized representative according to the EU General Product Safety Regulation is Wiley-VCH GmbH, Boschstr. 12, 69469 Weinheim, Germany, e-mail: Product_Safety@wiley.com. Trademarks: Wiley, For Dummies, the Dummies Man logo, Dummies.com, Making Everything Easier, and related trade dress are trademarks or registered trademarks of John Wiley & Sons, Inc. and may not be used without written permission. All other trademarks are the property of their respective owners. John Wiley & Sons, Inc. is not associated with any product or vendor mentioned in this book. LIMIT OF LIABILITY/DISCLAIMER OF WARRANTY: THE PUBLISHER AND THE AUTHOR MAKE NO REPRESENTATIONS

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Introduction As of early 2025, industry consensus estimates that 115 to 180 million individuals worldwide have been using artificial intelligence (AI) on a daily basis, and you probably have encountered it yourself. Maybe you asked a chatbot to write an e-mail for you, or you used an AI image generator to make a funny picture of your dog in a spacesuit or to make changes to a photo you took with your phone. That kind of AI — which generates text, images, or sound from nothing more than your spoken or typed command — is called Generative AI (GenAI), and it’s been all the rage since late 2022. But AI is constantly evolving, and the new wave is called Agentic AI. The term agentic simply denotes AI that doesn’t just sit there waiting for you to enter a command in the prompt bar. Instead, it can take action on its own accord. It follows goals and the framework that you set, but it finds its own path to getting there based on its own reasoning and decision-making. Agents can even work with other AI agents to form a whole team of digital coworkers who never need coffee breaks. Multiple agents working together is called an Agentic AI system. Think of the difference between GenAI and Agentic AI this way: GenAI is like a calculator. You push the buttons, and it gives you an answer. Agentic AI is like a junior assistant. You tell it what outcome you want, and it figures out the steps to get there. Sometimes, it asks other human or AI assistants for help along the way. Welcome to the age of Agentic AI. Buckle up. It’s going to be an interesting ride! About This Book

The shift from AI output (GenAI) to AI action (Agentic AI) is a huge technological feat on par with the autonomous cars available now, and these technologies share many similar risks and opportunities. Agentic AI can schedule tasks, run experiments, optimize business decisions, or help you shop online, for example. And it can do all of that without you having to hold its hand every step of the way. But the addition of partial or complete autonomy that Agentic AI possesses comes with a new set of challenges. In an accounting scenario, how do you keep agents from going off track and deleting an entire spreadsheet or database? In a medical situation, how do you trust Agentic AI to work safely and not hurt a patient? If you love the idea of an AI agent working as your personal online shopper, how do you keep that agent from buying things with your credit card that you didn’t intend for it to buy? And how do you tell the difference between a useful agent and one that’s more hype than help? This book is here to answer some of the practical questions about Agentic AI and explain the scope of applications that it can touch. By the time that you finish reading this book, you’ll be able to talk about Agentic AI with confidence, spot it when you see it, and know how to make it work for you, instead of the other way around. Some typical conventions that you may find in this book include the following: If you see a term in italics, you can usually find a definition or explanation for the term close by in the text. Web addresses and programming code appear in monofont. If you’re reading a digital version of this book on a device connected to the internet, you can click the web address to visit that website, like this: www.dummies.com. Some web addresses break across two lines of text. If you’re reading this book in print and want to visit one of these web pages, simply type the address exactly as it appears in the text, pretending the line break doesn’t exist. To make the content more accessible, I divide it into five parts:

Part 1: Understanding Agentic AI: In this part, you find out what Agentic AI is and how it works Part 2: Getting Started on the Agentic AI Path: Check out this part to get a good grasp on where and when to use Agentic AI as well as the ethics involved Part 3: Agentic AI in the Real World: Here you’ll find how Agentic AI will likely change your work and your world — and what you can do to make sure no one is harmed in the process Part 4: Exploring Myths and Realities: Here are the facts about what Agentic AI is and isn’t, whether it has agency, and what amount of upskilling you need to keep pace Part 5: The Part of Tens: This section gets right to the point of unexpected surprises now and 10 years from now, and it gives you a list of things that Agentic AI is absolutely terrible at doing Foolish Assumptions I wrote this book for anyone who wants to understand and use AI agents and Agentic AI systems in their work and daily life, as well as to prepare for inevitable changes that this technology will introduce. This book is written for professionals, not programmers. To get value from this book, you do not need A degree in computer science, math, or engineering Years of coding experience A deep knowledge of AI research papers and technical protocols If you can read, think critically, and apply new ideas in your work, you already have the background that you need. But I do make certain assumptions about the book’s audience (you) as a practical matter. For instance, I assume that

You possess at least a limited understanding of GenAI and are in hot pursuit of leveling up your skills to now understand and work with autonomous AI agents. You have at least a basic level of comfort and skill in working with computing devices, browsers, and web applications. You’re smart and pressed for time, so you want all meat and no fluff in a fast and easy read. (I hope I hit that mark for you with this For Dummies book.) Icons Used in This Book Throughout this book, icons in the margins highlight certain types of valuable information that call out for your attention. Here are the icons that you might encounter and a brief description of each. The Tip icon marks tips and shortcuts that you can use to make building, tasking, or using AI agents easier or simply more fun. Remember icons mark the information that’s especially important to know. To siphon off the most important information in each chapter, just skim through until you find these icons. The Technical Stuff icon marks information of a highly technical nature that you can normally skip over. Unless, of course, you came for the technical stuff — in which case, it’s now earmarked for you.

This icon warns you of a stumbling block or danger that may not be obvious to you until it’s too late. Please make careful note of warnings. Beyond the Book In addition to the abundance of information and guidance related to Agentic AI in this book, you get access to even more help and information online. Check out this book’s online Cheat Sheet: Just go to www.dummies.com and enter “Agentic AI For Dummies Cheat Sheet” in the Search text box. Press Enter, and a link to the Cheat Sheet pops up in the results. Where to Go from Here This is a reference book, so you don’t have to read it cover to cover (unless you want to soak in all the new information all at once). Also, feel free to read the chapters in any order. Each chapter is designed to stand alone, meaning you don’t have to know the material in preceding chapters to understand the chapter that you’re reading. Start anywhere and finish when you feel you have all the information that you need for whatever task you have on hand. Here are a few specific tips on where to find the info particularly interesting or useful to you: Check out the Table of Contents at the front of the book or the Index at the back to find a topic of interest. If you simply want to understand what AI agents are and how they work, both alone and together, read Part 1. If you have business interests, Chapter 5 guides you through making a plan so that your investments in Agentic AI can deliver, both on the mission that you give it and a bankable return on investment.

And Chapter 6 offers a peek into how first-adopter companies and industries are using Agentic AI at the time of writing. Chapter 7 poses all the hard questions that no one wants to grapple with — but also that no one can escape. Here, I blow away the hype and present the facts and obstacles that keep this tech from being a plug-and-play miracle. The chapters in Part 3 give you a good look at how Agentic AI technology is reshaping work, economies, and safety for humankind. Do you wonder if and when people should think about AI having agency and autonomy? Chapter 13 explores the issues of consciousness, intent, and motive as it applies to AI agency in sharper detail.

Part 1 Understanding Agentic AI

IN THIS PART … Find out what Agentic AI is all about. Get a look at how Agentic AI learns, reasons, and remembers. Discover Agentic AI’s core functionalities and multiple interaction points. Direct Agentic AI with prompt and context engineering.