Rule No. 1 - Humans give meanings to everything, include AI, NOT the other way around.
Foreword
This online version of Inkkey ACF is a work-in-progress, and hence is subject to update as the community behind it keeps iterating this book collaboratively.
ICC, Inkkey Coach Club, is the global community empowering the next generation of AI-driven businesses through practical Agentic AI Coaching based on the Inkkey ACF (AI Co-learning Framework).
ICC, Inkkey Coach Club / Inkkey 教练俱乐部，是一个全球 AI 人才社区，通过实践 Inkkey ACF（AI 共学框架）的人类教练，赋能下一代人工智能驱动的企业。
We're hosting ICC weekly meetups for global members every Monday by 9pm (GMT+8), and for China members every Wedesday by 2pm (GMT+8). Please check out ICC meetup/event calendar at https://lu.ma/inkkey.
The world of coaching is on the cusp of a revolution. Artificial Intelligence, once a futuristic concept, is rapidly becoming a tangible tool, poised to reshape how coaches empower their clients and achieve transformative results. This book, "Inkkey ACF, the Playbook for Agentic AI Coaching", is a pioneering guide to navigating this exciting new landscape. It introduces the Inkkey AI Co-Learning Framework, or Inkkey ACF for short, a groundbreaking approach that places the human coach at the heart of the AI-powered coaching experience.
Inkkey ACF is the brainchild of the passionate team at Inkkey.com, drawing upon the diverse expertise of Dr. Patrick Khor, Chance Jiang, Professor Wu Shifeng, and Bruno Wong. Dr. Khor's lifelong dedication to infotech education, combined with Chance Jiang's mastery of product design and innovation, and the invaluable contributions of Professor Wu and Bruno, have culminated in a framework that is both powerful and deeply human-centric.
This book is more than just a theoretical exploration; it's a practical roadmap, filled with real-world case studies and actionable strategies. It's designed to empower coaches of all disciplines to embrace the potential of AI, not as a replacement for their expertise, but as a powerful ally in their mission to help others unlock their full potential.
Inkkey.com is proud to share Inkkey ACF with the world as an open-source project, under the MIT License. We believe that the future of coaching is collaborative, and we invite you to join us on this journey of discovery and innovation. Let's work together to build a future where human expertise and artificial intelligence combine to create a world of unparalleled learning and growth.
Inkkey ACF is Open Sourced under MIT License:
MIT License is a very permissive license, allowing others to use, modify, and distribute the framework, even for commercial purposes, with minimal restrictions. It's a good choice if you want the widest possible adoption.
Part 1: The Foundation of Agentic AI-Powered Coaching
1. Introduction: The Rise of the Human-AI Coaching Partnership
The Limitations of Traditional Coaching Models
The Dawn of Agentic AI: Augmenting Human Potential
Introducing the Inkkey ACF: A Human-Centered Framework
2. Understanding Agentic AI in Coaching
Defining Agentic AI Coaching: Empowering Client Self-Authorship
Key AI Technologies: AI agent, NLP, Machine Learning, and Beyond
Ethical Imperatives: Navigating Bias, Privacy, and Accountability
Real-World Applications: From Chatbots to Personalized Learning Paths
3. Your AI Co-Learning Framework: The Inkkey ACF
Core Principles: Human-Centered Design, Collaboration, and Empowerment
Inkkey ACF vs. Other Frameworks: A Comparative Analysis
The Human Coach's Indispensable Role: Orchestrating the AI Partnership
Part 2: Implementing the Inkkey ACF - Practical Applications
4. Case Study Deep Dive: VCC21 - A Transformative Language Coaching Journey
Context and Objectives: Understanding the VCC21 Initiative
AI's Role: Supporting Learners, Facilitating Reflection, and Tracking Progress
Analyzing Outcomes: Successes, Challenges, and Lessons Learned
5. Case Study 2: [ABC's Adoption of Inkkey ACF]
[Clear Description of the Coaching Context and Goals]
[Specific AI Tools and Techniques Employed]
[Measurable Results and Impact on Client Outcomes]
6. Case Study 3: [DEF's Adoption of Inkkey ACF]
[Clear Description of the Coaching Context and Goals]
[Specific AI Tools and Techniques Employed]
[Measurable Results and Impact on Client Outcomes]
7. Building Your First Agentic AI-Powered Coaching Tool: A Step-by-Step Guide
Identifying a Specific Coaching Need and Target Audience
Selecting Appropriate AI Tools and Platforms (with Considerations)
Prototyping Your AI Coaching Solution: A Practical Approach
Testing, Refining, and Iterating: Ensuring Effectiveness and User Experience
Part 3: Mastering Agentic AI Coach Development
8. Understanding the Building Blocks of Agentic AI Coaching
The Data Imperative: Collecting, Preparing, and Utilizing Coaching Data Ethically
Algorithms for Agency: Machine Learning Techniques for Personalized Coaching
Designing the Human-AI Interface: Creating Seamless and Intuitive Experiences
9. Step-by-Step Guide to Building a Basic Agentic AI Coach
Defining a Clear Coaching Focus and Measurable Outcomes.
Choosing the Right AI Platform or Tools (Open Source vs. Commercial)
Developing a Minimum Viable Product (MVP) for Initial Testing
Gathering User Feedback and Iterating Based on Real-World Data
10. Advanced Topics in Agentic AI for Coaching
Personalization at Scale: Tailoring the Coaching Journey to Individual Needs
Advanced Ethical Considerations: Ensuring Fairness, Transparency, and Safety/Control
Emerging Trends: The Future of AI in Coaching and Human Development
Part 4: The Future of Coaching in the Age of AI
11. The Evolving Role of the Human Coach
From Expert to Facilitator, Guide, and Co-Learner
Essential Skills and Competencies for the AI-Augmented Coach
The Coach as Curator and Orchestrator of AI-Powered Resources
12. Building an Agentic AI-Powered Coaching Community, Inkkey Coach Club (ICC)
Sharing Best Practices, Knowledge, and Resources
Collaborative Development of Open-Source AI Coaching Tools
Establishing Ethical Guidelines for the AI Coaching Community
13. The Bigger Picture: AI's Impact on Society and the Future of Work
AI's Potential for Social Good: Expanding Access to Coaching and Development
Addressing Challenges and Risks: Mitigating Bias and Ensuring Responsible Use
The Future of Work: Embracing Human-AI Collaboration for a More Fulfilling Future
