Prompt Context Engineering
A Practical Guide to Building Reliable AI SystemsBy Miles Draper
Length3h 52m
About this audiobook
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.
Audiobook details
GenreTechnology
Length3 hrs 52 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateOct 13, 2026
LanguageEnglish
Table of contents
1Introduction
2Why Prompts Fail and Context Wins
3The Context Stack: What the Model Actually Sees
4Writing Instructions That Stick
5Few-Shot Examples That Actually Teach
Show all chaptersShow less
6Retrieval and Grounding: Giving the Model Facts
7Structuring Outputs with Schemas and Formats
8Managing Long Conversations and Memory
9Debugging Context: When the Model Goes Off-Script
10Building Reusable Prompt-Context Templates
11Chaining Prompts into Reliable Pipelines
12Evaluating and Testing Context Quality
13Adapting Context Across Models and Tools
14Scaling Context Engineering in a Team
15The Context Engineering Playbook
16About the Author
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