Other > E-books
Textbook in PDF format
A practical, non-technical guide for business leaders, entrepreneurs, and curious minds.
In a world where ChatGPT took us by storm, a far more powerful revolution is unfolding: AI Agents. Like Jarvis in Iron Man or Samantha in Her, these intelligent systems can execute actions, learn from experience, and orchestrate digital interactions with minimal human supervision. They promise to redefine business and society.
However, behind the excitement lies a crucial reality: a significant gap between promise and reality.
This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.
Through illuminating case studies and hands-on experiments, the authors reveal:
A step-by-step method for identifying high-value agentic opportunities and building impactful agents in your business, work, and personal life.
The secrets behind today's most successful agentic transformations at scale: cutting costs by over 25% while boosting customer satisfaction by over 40%.
Approaches to seize the new opportunities of the Agent Economy—new business models, Agentic-driven startups, rapid scaling, and game-changing revenue opportunities.
Hands-on guidance to navigate common pitfalls such as workflow integration, error handling, data quality, agent control, and user adoption.
The new mindset and skills required to lead effectively in a world where humans and AI agents need to work seamlessly together.
The profound impact of agentic AI on society, employment, education, and our personal lives.
AI agents create what the authors call "compounding intelligence advantages"—the more they're used, the smarter they become, creating an accelerating gap between early adopters and laggards. Hence, those who understand and leverage AI agents today will define the next business era.
The question isn’t whether AI agents will transform your industry—it’s how you will lead that change. Every revolution demands foresight and responsibility. This book challenges you to not just adopt agentic AI, but to shape it with purpose and integrity.
Preface: A Journey Toward Human Potential.
Introduction.
The Promise (and Limitations) of AI Agents.
What You Will Learn from the Book.
Beyond the Book: Your Online Resources.
Key Terminologies for Understanding AI Agents.
The rise of AI agents.
Beyond ChatGPT: The Next Evolution of AI.
The Birth of Agentic AI: A Convergence of Powers.
Agentic AI for Entrepreneurship and Business.
The State of AI Agent Adoption in Companies.
The Five Levels of AI Agents: From Automation to Autonomy.
Breaking Down the AI Agent’s Capabilities.
The Complex Reality of AI Agents’ Capabilities.
The Agentic AI Progression Framework.
The Magic of Progressive Autonomy:
Understanding AI Agent Levels.
Inside the Mind of an AI Agent.
Key Specificities of AI Agents.
Inherent Limitations of AI Agents.
When One Is Not Enough: The Power and Practice of Multi-Agent Systems.
The Agent’s Dilemma: Balancing Creativity with Reliability.
Chapter 4: Putting AI Agents to the Test.
Digital Hands: When AI Learned to Use Computers.
Our First Steps with a “Computer Use” AI Agent: The Invoice Test.
When AI Meets the Paperclip Challenge.
The outcome of the experiment.
Lessons learned from the experiments.
The three keystones of Agentic AI.
Action: Teaching AI to Do, Not Just Think.
The Detective’s Dilemma.
Tools as Building Blocks.
Inside the AI Agent’s Toolkit.
From Basic to Advanced Tool Usage.
When Tools Meet Trust.
Reasoning: From Fast to Wise.
AI Reasoning: Introducing The Power of Pause.
The Power of Many: Multi-Agent Systems in AI Reasoning.
Memory: Building AI That Learns.
Memory is a Foundation of Intelligence.
The Intricate Dance of Short-Term Memory in AI Agents.
The Power of Long-Term Memory: Transforming AI from Tools to Partners.
Designing and Implementing Long-Term Memory in Agentic AI Systems.
Adaptation and Learning through Feedback Loops.
Best Practices in Managing Memory for Agents.
Entrepreneurship and professional growth with AI agents.
A Practical Guide For Building Successful AI Agents.
Step 1: Finding the Right Agentic Opportunities.
Step 2: Defining AI Agents’ Role and Capabilities.
Step 3: Designing AI Agents for Success.
Step 4: Implementing Your AI Agents.
From Ideas to Income: Business Models for the Agent Economy.
The Birth of Self-Running Businesses: When AI Became an Entrepreneur.
Emerging Business Models in the Age of Agentic AI.
Building Opportunities in the Agentic AI Economy: The New App Gold Rush.
Enterprise transformation through agentic AI.
Human-Agent Collaboration: Leadership, Trust, and Change.
Mastering Work Design and Change Management at Scale.
Leadership in the Age of AI Agents: Building Trust and Collaboration in Hybrid Teams.
The Foundation: Management Vision and Governance.
Scaling AI Agents: From Vision to Reality.
The Right Scaling Approach.
The Automation Experience Advantage: from Level 2 to Level 3 agents.
Leveraging Generative AI and AI Agents for a Holistic AI Corporate Transformation.
When Agents Go Rogue: Building Essential Safeguards for AI Systems.
Case Study and Use Cases of Agents Across Industries.
Case Study: Pioneering Enterprise AI Agent Transformation: Pets at Home.
Agentic Use Cases Across Functions and Industries.
Future horizons for work and society.
The New World of Work.
Work Reimagined: The Symphony of Human and Machine.
This Time Is Different: The Dawn of Agentic AI.
Reinventing Education in the Age of AI Agents.
Society in the Age of Agents.
Reimagining Human Potential in an Agent-Powered World.
A Framework for Governing the Future of Agentic AI.
Conclusion.
The Next Horizon: Emerging Capabilities.
The Urgency of AI Governance: Building Guardrails Before It’s Too Late.
Reflection and Broader Implications.
Your Action Plan.
The Power of Choice.
More Resources on Agentic AI.
About the Authors.
Appendices: Practical Resources.
Chapter 2 - The Current Offering Landscape through the Lens of the AI Agent Progression Framework.
Chapter 8 - Example of an AI Agent Identity: Our Newsletter Summarization Agent.
Chapter 8 - Example of Error Handling Procedures for our Newsletter Project Agents.
Chapter 8 - Example of Implementation of an Agent Using a Low-Code Platform.
Chapter 12 - Use Cases: Enterprise AI Agent Application.
Chapter 12 - Use Cases: Personal Productivity AI Agent Applications.
Index
