Adam On: Advanced ChatGPT for Agile Project Management
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Adam On: Advanced ChatGPT for Agile Project Management

Get Beyond ChatGPT Misinformation and Improve Your Agile Project with Artificial Intelligence.

About the Book

The purpose of this book, "Adam on ChatGPT and Agile Project Management," is to

provide a comprehensive guide for advanced users of ChatGPT and experienced

Agile Project Managers. The book aims to bridge the gap between the

cutting-edge technology of AI, specifically the ChatGPT model, and 

the dynamic, iterative practices of Agile Project Management.

The objective is to explore how the capabilities of ChatGPT can be harnessed

to enhance various phases, practices, and techniques of Agile Project 

Management. This includes the envision, speculate, explore, 

adapt, and close phases of the Agile lifecycle. The book provides practical

examples, detailed explanations, and prompt engineering techniques

to effectively integrate ChatGPT into Agile practices.

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  • Categories

    • Agile
    • Leadership
    • Project Management
    • Agile
    • Product Management
    • Scrum
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About the Author

Adam Russell
Adam Russell

Adam writes about project management on his blog “Adam On Projects” and in his books and other content at He is also an expert in applying ChatGPT to project environments and has written several books on ChatGPT.

Adam coaches and mentors other project managers, and consults on various projects around the world.

Adam Russell has successfully delivered software development, software package, and systems integration projects for nearly 40 years, using both Agile and traditional approaches.

Adam started as a software developer, and then moved into pre-sales technical support when the IBM PC launched. He launched his project management career after he helped to close a significant government deal. The head of projects said: “You helped sell it. Now, you can deliver it”.

Since then, Adam has worked for companies ranging from 1-person startups to global tier-1 vendors and customer organisations in roles ranging from hands-on project manager through to General Manager of Systems Integration.

In those roles, Adam has been responsible for delivering hundreds of projects, ranging in budget from $5k up to over $100m. Adam also volunteers his time and skills with non-profit organisations.

Table of Contents

    • Getting Engaged with this Book and its Author
    • Notes about this version
      • This is the Beta Version
      • Please sign up for my mailing list
      • Why Did I Write this Book?
      • Some General thoughts
    • Introduction
      • Agile Project Management
      • OpenAI ChatGPT
      • The Problems I’m trying to solve
      • Embrace the possibilities of ChatGPT and Agile Project Management
      • Automation vs Augmentation
      • ChatGPT was involved with writing this book
      • The Purpose of this Book
      • Who This Book Is For
      • How to Read This Book
    • Understanding ChatGPT: Beyond Basics
      • The ChatGPT Black Box Interface
      • Origins and Evolution of GPT Models
      • How ChatGPT Thinks: The Deep Dive
      • Limitations and Strengths of GPT-4
      • Myths, Mistakes and Biases That Will Impact Your Use of ChatGPT
      • How should you engage with ChatGPT?
      • A Primer on Artificial Intelligence applications
      • The Natural Language Interface
      • ChatGPT Prompt and Data Use Cases
      • Use Cases for Interaction with ChatGPT
      • Prompt Engineering Overview
      • Prompt Types and Structures: A Summary
      • Prompt Engineering: Crafting Effective Queries
      • Structuring System Prompts for Advanced Text Embedding Functions with GPT
    • The OpenAI Playground
      • 3.1: What Is the OpenAI Playground?
      • Navigating the Interface
    • Integrating ChatGPT in the Agile Lifecycle
      • The Agile Framework and ChatGPT: An Overview
      • A Framework for Understanding Agile Project Management
      • Expanding Beyond ChatGPT - A Personal Journey
      • Add on utilities
      • Spreadsheet Add-ons
      • Custom Code
      • Third-party Websites
      • ChatGPT and your Agile Project Management Data
      • Using ChatGPT Generated Data in your Agile Projects
    • ChatGPT in Your Workplace
      • Preparing Your Team for AI Collaboration
      • Setting Boundaries: When to Use AI vs Human Insight
      • Ethical Considerations in AI Usage
      • Data Privacy and Security
    • ChatGPT and Agile Project Management Reference models
      • The Agile Project Management Reference model
      • The ChatGPT Prompt Reference Model
      • The Content Reference Model
    • Envision Phase with ChatGPT
      • Benefits in Ideation and Conceptualisation
      • Stakeholder Communication Aided by AI
      • Example Prompts and Applications
    • Speculate Phase with ChatGPT
      • AI in Feature Scoping and Speculation
      • Risk Assessment with ChatGPT
      • Example Prompts and Applications
    • Explore Phase with ChatGPT
      • Code Assistance and Design Feedback
      • Example Prompts and Applications
    • Adapt Phase with ChatGPT
      • Synthesising Feedback Using AI
      • AI-Driven Adaptations and Improvements
      • Example Prompts and Applications
    • Close Phase with ChatGPT
      • The Role of AI in Project Retrospectives
      • Documentation and Closure Aided by ChatGPT
      • Example Prompts and Applications
    • Additional Resources and Considerations
      • Fine-Tuning ChatGPT for Domain-Specific Knowledge
      • Looking Ahead: The Future of AI in Project Management
      • Community Resources and Further Reading
    • Conclusion
      • The Road Ahead: A Synergy of AI and Agile Practices
      • Parting Thoughts
    • Appendices: Summary
    • Appendix 1: Envision Phase Deep Dive
      • Practise: Product Visioning
      • Practise: Stakeholder Engagement
      • Practise: Team Chartering
      • Practise: High-Level Roadmapping
      • Practise: Initial Backlog Creation
    • Appendix 2: Speculate Phase Deep Dive
      • Practise: Feature Identification
      • Practise: Release Planning
      • Benefits
      • Limitations and Constraints
    • Appendix 3: Explore Phase Deep Dive
    • Appendix 4: Adapt Phase Deep Dive
      • Practise: Inspect the Current Situation
    • Appendix 5: Close Phase Deep Dive
    • Appendix 7: Prompt Engineering
      • Prompt Types Deep Dive
    • Appendix 8: Prompt Engineering NLP Frameworks
      • What are NLP Frameworks for Prompt Generation
      • Comparison of NLP Frameworks for Designing Prompts in Agile Project Management
      • Detailed Breakdown of Five NLP Frameworks for Prompt Design
    • More from Adam Russell
    • About the Author
      • Career Summary
      • A Career by Numbers
    • Copyright

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