Table of Contents

Complete Chapter Listing


Quick Navigation

Part Chapters Focus
Part I 1-3 Foundations
Part II 4-7 Core Frameworks
Part III 8-11 Advanced Techniques
Part IV 12-14 Quality & Evaluation
Part V 15-16 Governance & Ethics
Part VI 17-19 Implementation

Part I: Foundations

Building the groundwork for effective AI prompting.

Chapter Title Description
1 Introduction to Structured Prompting What structured prompting is, why it matters, and how to use this handbook
2 Core Concepts and Terminology Essential vocabulary, prompt anatomy, and foundational concepts
3 The Prompting Pillars Framework The 7 Prompting Pillars that form the foundation of effective AI communication

Part II: Core Frameworks

Architectural patterns and design principles for constructing effective prompts.

Chapter Title Description
4 Prompt Architecture Patterns Structural frameworks including CRAFT, RISEN, CO-STAR, and more
5 Context Engineering Mastering the art of providing relevant background information
6 Instruction Design Principles Writing clear, actionable instructions that AI can follow
7 Output Specification Techniques Controlling format, structure, and quality of AI outputs

Part III: Advanced Techniques

Sophisticated methods for complex AI interactions.

Chapter Title Description
8 Chain-of-Thought and Reasoning Enabling AI to show its work and reason through problems
9 Few-Shot and Example-Based Prompting Teaching AI through carefully selected examples
10 System Prompts and Persona Design Creating consistent AI personalities and behaviors
11 Multi-Turn Conversation Design Orchestrating effective extended conversations

Part IV: Quality and Evaluation

Measuring, testing, and improving prompt effectiveness.

Chapter Title Description
12 Prompt Quality Dimensions The 5 Quality Dimensions: Relevance, Accuracy, Completeness, Coherence, Actionability
13 Testing and Iteration Strategies Systematic approaches to prompt improvement
14 Performance Metrics and Evaluation Quantitative and qualitative measurement methods

Part V: Governance and Ethics

Responsible AI prompting, security, and compliance.

Chapter Title Description
15 Responsible AI Prompting Ethical principles, bias awareness, and social responsibility
16 Security, Privacy, and Compliance Protecting data and meeting regulatory requirements

Part VI: Implementation Guide

Putting it all together for real-world success.

Chapter Title Description
17 Implementation Roadmap Phased approach to adopting structured prompting
18 Best Practices and Common Pitfalls Proven techniques and mistakes to avoid
19 Future of Prompting and Continuous Learning Emerging trends and staying current

Framework Quick Reference

The 7 Prompting Pillars

# Pillar Focus
1 Clarity Unambiguous communication
2 Context Relevant background
3 Constraint Boundaries and limits
4 Composition Structure and format
5 Calibration Tone and style
6 Chain Logical sequencing
7 Critique Self-evaluation

The 5 Quality Dimensions

# Dimension Measures
1 Relevance Addresses the request
2 Accuracy Factually correct
3 Completeness All aspects covered
4 Coherence Logically structured
5 Actionability Directly usable

The 4 Maturity Levels

Level Name Description
1 Novice Basic prompts, learning
2 Practitioner Structured, consistent
3 Expert Advanced, optimizing
4 Master Designing, teaching

The 6 Control Objectives

# Objective Purpose
1 Accuracy Factual correctness
2 Consistency Reproducible outputs
3 Safety Prevent harm
4 Privacy Protect data
5 Compliance Meet requirements
6 Quality Maintain standards

Reading Paths

For Beginners

  1. Chapter 1 → 2 → 3 → 4 → 18

For Practitioners

  1. Chapter 3 → 5 → 6 → 7 → 8 → 13

For Leaders

  1. Chapter 1 → 15 → 16 → 17 → 19

Complete Path

  1. All chapters in order (1-19)

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Structured Prompting Handbook - MIT License