Prompt Engineering in Practice

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Prompt Engineering in Practice shows you how to design, refine, and manage prompts with the same discipline and systematic approach as the rest of your engineering stack. The book’s practical techniques are drawn from real-world AI development, industry usage, and AI research.

The book introduces a systematic approach to Prompt Engineering based on industry usage and AI research. You’ll learn how to structure your objectives, take advantage of contextual details, apply systematic prompt patterns, and make them reliable across any model. The techniques are model-agnostic, require no machine learning background, and are demonstrated through practical prompt examples and real-world scenarios.

You’ll appreciate author Richard Davies’ explanation of prompt patterns and templates that you can customize for your own needs. Learn from real-world cases and examples drawn from the kinds of tasks software engineers actually perform, from generating pull request descriptions and incident summaries to using LLMs for data annotation, classifying tech support tickets, and building custom chatbots.

What's inside

• Mitigate hallucinations in LLM output
• Automated prompting techniques for AI agents
• Contextual Prompting, Prompt Sampling, and Advanced Prompt Patterns
• Prompt Security and managing prompts in production
• Apply reusable Prompt Patterns and Prompt Templates to real-world tasks

About the reader

No special skills with AI or machine learning required.

About the author

Richard Davies is the Founder, CEO, and CTO of Meridias, an AI company currently in stealth. He has worked exclusively in artificial intelligence since 2018, including as a CTO and Lead Artificial Intelligence Engineer, with hands-on experience across machine learning, deep learning, computer vision, natural language processing, multimodal models, agents, and Large Language Models.

Rafael Fischer, PhD in Engineering, is a Generative AI Software Engineer with over five years of experience designing and delivering scalable AI-powered products for companies in the US, Europe, and Brazil. He specializes in building full-stack, product-oriented solutions that integrate LLMs, agentic workflows, and secure, cloud-native architectures to create intuitive, high-impact user experiences.