Claude 4 Engineering for Intelligent Systems: Designing AI Workflows, Prompt Architectures, Tool-Augmented Reasoning, and Production-Scale Language Ap

By: Talon, Silas

Claude 4 Engineering for Intelligent Systems is a deep, practical guide for developers, AI engineers, product architects, and technical leaders building advanced applications with next-generation large language models.
This book focuses on real-world engineering, not surface-level usage. It explores how to design robust systems around Claude 4, emphasizing structured prompting, reasoning workflows, tool integration, and deployment-ready architectures. Readers are guided through the principles required to move from experimentation to dependable, scalable AI-powered solutions.
The book covers how to: Architect high-quality prompt systems for consistent, controllable outputsBuild multi-step reasoning pipelines using tool-augmented inferenceIntegrate language models with external services, APIs, and data sourcesDesign AI workflows that support reliability, observability, and governanceManage context, memory, and state across long-running interactionsDeploy language-model-backed systems safely in production environmentsRather than treating the model as a black box, the book emphasizes engineering discipline, system boundaries, and architectural trade-offs. Each section connects theoretical foundations with applied implementation patterns, enabling readers to build AI systems that are transparent, maintainable, and aligned with real business constraints.
This book bridges the gap between cutting-edge language model capabilities and professional software engineering practices, making it an essential resource for anyone serious about building durable, enterprise-grade applications with Claude 4.

• Format: Paperback
• Language: English
• ISBN13: 9798257017681
• Release Date: January 1
• Publisher: Independently Published
• Length: 148 Pages
• Weight: 0.59 lbs.
• Dimensions: 0.3" x 7.0" x 10.0"