Build a repeatable approach to better prompts
A useful AI response starts with more than a well-phrased question. AI Prompt Engineering connects the mechanics of language models with practical decisions about context, task structure, output requirements and testing.
Work through the foundations, then explore how to organize complex tasks, create evaluation examples and track changes over time. The book gives you a framework for reviewing what works and improving what does not.
What you’ll find inside
- Language model fundamentals, attention and the limits of context windows.
- Task decomposition and structured workflows for complex requests.
- Input boundaries and machine-readable output formats.
- Evaluation datasets, success criteria and regression checks.
- System prompts, model-specific adjustments and human review.
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