Organic Prompting
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Organic Prompting

The natural approach to Prompt & Response Engineering

About the Book

Unlock the full potential of Generative AI tools like ChatGPT with Organic Prompting: The Natural Approach to Prompt & Response Engineering. In this groundbreaking book, Adam Russell shifts the focus from traditional prompt engineering to a more intuitive, natural approach that leverages the power of language as it was meant to be used. Whether you're a seasoned professional or just beginning your journey with AI tools like ChatGPT, Organic Prompting offers a fresh perspective on creating effective, efficient, and human-centric prompts that get results.

Through clear guidelines and practical examples, this book introduces the concepts such as:

  • Simplest Effective Prompt (SEP): Focus on crafting the simplest prompt that contains just enough information to achieve the desired response, minimizing unnecessary complexity.
  • Minimum Useful Response (MUR): Aim for responses that are just detailed enough to be actionable, avoiding the pursuit of perfection and focusing on practicality.
  • Iterative Prompt Refinement: Continuously refine prompts based on the quality of responses received, iterating towards more effective and precise interactions.
  • Contextual Framing: Provide clear context within prompts to guide the AI towards generating responses aligned with the intended goals and use cases.
  • Outcome-Focused Prompting: Design prompts with a clear end goal, ensuring that each interaction is driven by the desired result rather than the process.
  • Satisficing Strategy: Apply a satisficing approach that focuses on achieving satisfactory results quickly rather than optimizing indefinitely for perfection.
  • Prompt Evolution: Allow prompts to evolve naturally through use and feedback, adapting to new insights and the changing needs of the task at hand.
  • Response Quality Assessment: Develop techniques to evaluate the quality of AI responses based on relevance, accuracy, and usability, guiding further prompt refinement.
  • And much, much more...

Discover how to use natural language and strategic thinking to interact with AI in a way that feels less like programming and more like conversation.

Organic Prompting is your essential guide if you're ready to move beyond rigid structures and embrace a more fluid, adaptable way of working with AI. Start with simplicity, let your prompts evolve, and watch as AI transforms from a tool into a true collaborator in your problem-solving process.

Get your copy now and experience a new way of interacting with AI that feels as natural as speaking to a colleague.

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 Leanpub.com. 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
    • Introduction
      • Notes about this version
      • How to Read This Book
    Part 1 - Organic Prompting Overview
    • Takeways from Part 1
      • Summary
      • Key Concepts to Apply
      • Techniques to Practice
      • Other Takeaways
    • Prompting Problems
      • Basic Misconceptions about LLMs
        • Misunderstanding the Interaction Model
        • Limited Product Specifications
        • LLMs Flip Standard SaaS Expectations
      • Why do we get confused with GenAI?
        • Limited Product Specifications
        • Misunderstanding GenAI Weaknesses as Strengths
        • LLMs are not Intelligent.
      • Problems with Prompt Engineering
        • The Rise of Prompt Engineering
        • Prompt Engineering is a Heavyweight Tool
        • Prompt Engineering puts all the focus on the Prompt
        • The Quest for Control
        • The Language is Natural, Baby!
        • The Problem of Semantic Contamination
    • The Solution: Organic Prompting
      • Start with simplicity
      • The First Three Simple Steps
        • First, Prompt!
        • Second, Critically Evaluate the Response
        • Third, Guided Prompt Update
        • Lastly, Knowing when you’re done
        • Conclusion
      • What is Organic Prompting?
        • A Compelling Alternative to Prompt Engineering
        • Principles of Organic Prompting
        • Example of Organic Prompting
      • What Is Role Should ChatGPT Play in Your Life?
        • Job Role
        • Relationship Role
        • Conclusion
    Part 2 - Prompt and Response Engineering Practices
    • Takeways from Part 2
      • Summary
      • Key Concepts to Apply
      • Techniques to Practice
        • Other Takeaways
    • Organic Prompt Engineering
      • Organic Prompt Guidelines
        • Organic Prompt Key Concepts
        • The Desire for Control
        • Satisficing is Satisfaction
        • Conclusion
      • Interaction Use Cases
        • Overview of Interaction Components
        • Basic ChatGPT Interaction Data Patterns
      • Prompt Engineering vs. Organic Prompting: A Comparative Analysis
        • Why Not Just Start with Prompt Engineering?
        • The Pros and Cons of Prompt Engineering
        • The Unique Benefits of Organic Prompting
        • When is Organic Prompting The Wrong Approach?
        • Conclusion
      • Bridging Organic Prompting to Prompt Engineering: A Guide for Beginners
        • Introduction
        • Understanding the Basics of Prompt Engineering
        • Core Concepts of Prompt Engineering
        • Getting Started with Prompt Engineering
        • Step-by-Step Guide
        • Conclusion
    • Organic Response Engineering
      • Response Engineering over Prompt Engineering.
        • The Problems with a Focus on Prompt Engineering
        • An End-to-End Perspective
        • What is Response Engineering?
        • Scope of Response Engineering
        • Evaluation Criteria
        • Feedback: Joins the “Fitness Function” to Prompting
        • The Definition of Done
        • Conclusion
      • The Three Primary Dimensions of Response Quality Assessment
        • The Context
        • Response Quality Assessment
        • Conclusion
      • Response Assessment Methods
        • Common Assessment Elements
        • Informal Approach
        • Entry-Level Response Quality Assessment
        • Basic Assessment: Likert Scale Rubric
        • Advanced Assessment: Planguage Framework
      • The Anatomy of Response Detail
        • Response Quality Assessment Recap
        • ChatGPT Doesn’t Write Long
        • Response Quality is Asymptotic
        • Why is this so?
        • What does this mean?
    Part 3 - Evolutionary LLM Solution Development
    • Takeways from Part 3
      • Summary
      • Key Concepts to Apply
      • Techniques to Practice
      • Other Takeaways
    • Evolutionary Prompt Development
      • Prompt Evolutionary Cycles
        • Generic Evolutionary Cycle
        • Applying the Generic Evolutionary Cycle to Prompt Development
      • A Roadmap for Evolutionary Development
        • Knowledge: Mastery of the Problem Domain
        • Skill and Experience with Prompt Structure and Efficacy
        • The End-to-End Solution Construct
        • Natural Language Binding
        • Riding the Evolutionary Cycle - Keep Working the Edge!
        • Conclusion
    • Quality Analysis & Diagnostics
      • The Impact of Personal Mindset on ChatGPT Use
        • Paradigm Zero and Organic Prompting
        • How does Paradigm Zero Affect on Prompt Development?
        • Heuristics for Optimising ChatGPT Use
        • Conclusion
      • Domain Mastery vs Content Contribution Mix
        • Scales
        • Analysis Matrices
      • User and AI Domain Expertise
        • Scales
        • Analysis Matrices
      • Enablement Objective (Automation vs Augmentation)
        • Scales
        • Analysis Matrices
      • Response Variability
        • Scales
        • Analysis Matrices
    • The 4C Model of Prompt Intent
      • Overview
      • The Purpose of the 4C Model
      • The Four Categories of the 4C Model
        • Context
        • Content
        • Control
        • Construct
      • Using the 4C Model
        • Using the 4C Model to Evaluate Prompt Design
        • Evaluating the Response Using the 4C Model
      • On the Quest for Control
      • Implementing the Evolutionary Prompt Cycle
        • Connecting Response to Prompt
        • Example
      • Conclusion
    Endnotes
    • More from Adam Russell
    • Copyright

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