Prompt Context Engineering

A Practical Guide to Building Reliable AI Systems

Miles Draper

You've written prompts that worked once and failed the next day, and you're tired of guessing why. The problem usually isn't the model. It's the context you hand it. Prompt Context Engineering gives you a repeatable system for controlling what the model actually sees, so your outputs stay consistent across real projects instead of depending on luck. Inside, you'll learn how to build a context stack that keeps instructions intact, write few-shot examples that genuinely teach the behavior you want, ground responses in retrieved facts, and enforce output structure with schemas. You'll also work through debugging context when the model drifts, chaining prompts into pipelines that hold up under load, and testing context quality before it reaches users. By the last page, you can design, debug, and deploy context-engineered prompts with confidence. If inconsistent results are costing you time, this book is the fix.

Table of contents

• Title Page
• Why Prompts Fail and Context Wins
• The Context Stack: What the Model Actually Sees
• Writing Instructions That Stick
• Few-Shot Examples That Actually Teach
• Retrieval and Grounding: Giving the Model Facts
• Structuring Outputs with Schemas and Formats
• Managing Long Conversations and Memory
• Debugging Context: When the Model Goes Off-Script
• Building Reusable Prompt-Context Templates
• Chaining Prompts into Reliable Pipelines
• Evaluating and Testing Context Quality
• Adapting Context Across Models and Tools
• Scaling Context Engineering in a Team
• The Context Engineering Playbook
• About the Author