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Prompt Patterns

Timeless Design Patterns for Effective Communication with Large Language Models

This book is 85% completeLast updated on 2026-06-29
Bilgin Ibryam

Prompting is a design problem, not a syntax problem. Prompt Patterns introduces durable patterns for reliable work with large language models.

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79,131Words
About

About

About the Book

Prompt Patterns is a practical guide to reliable prompting through a pattern language. It defines prompt patterns as named, reusable design moves for shaping objective, context, constraints, and output structure.

This is not a collection of tricks. Each pattern explains when it applies, how it works, and the trade-offs involved.

For knowledge workers and builders who use LLMs via prompts in everyday work and production systems.

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Artificial Intelligence

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Author

About the Author

Bilgin Ibryam

Bilgin Ibryam is driven by a long-standing passion for writing, and sharing his experience in building enterprise software in the real world. Throughout his career, he has focused on observing recurring problems, synthesising best practices, and turning hard-earned lessons into reusable patterns that help engineers think, communicate, and build better systems. This pattern-oriented mindset is reflected in his work as the author of Camel Design Patterns and co-author of Kubernetes Patterns. His approach starts from abstraction and intent first, before specific tools or platforms, and emphasizes timeless principles over transient technology trends. Bilgin spent many years as a consultant and architect at Red Hat, working closely with engineering teams to help them adopt emerging technologies and design scalable, resilient distributed systems. Today, he is a product manager at Diagrid, working on cloud native and AI developer tools, where he applies the same pattern-driven thinking to prompt design and AI-assisted software development. His current focus is on capturing Prompt Patterns as a new abstraction layer for working reliably and productively with AI systems.

Contents

Table of Contents

Preface

  1. Introduction

Prompts

Patterns

Design Principles

Pattern Categories

Patterns List

  1. Part 1: Objective Framing

Task Directive

Perspective Framing

Judgment Criteria

Constraint Scoping

Summary

  1. Part 2: Information Supply

Context Loading

Context Curation

Structural Segmentation

Summary

  1. Part 3: Method Prescription

Alternative Enumeration

Hierarchical Decomposition

Dependency Decomposition

Stepwise Decomposition

Multi-Path Reasoning

Governing Abstraction

Summary

  1. Part 4: Quality Validation

Knowledge Externalization

Deferred Commitment

Reflective Evaluation

Claim Enumeration

Summary

  1. Part 5: Output Representation

Semantic Compression

Response Tail

Answer Boundary

Output Template

Formal Representation

Summary

  1. Part 6: Interaction Design

Control Reversal

Interpretation Grammar

Meta Prompting

Specification Extraction

Summary

  1. Afterword

About the Author

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