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OverviewAI agents are only as reliable as the structure you give them. As artificial intelligence moves from experimentation to production, teams are discovering a hard truth: free-text prompting doesn't scale. Unpredictable outputs, brittle parsing logic, silent failures, and endless post-processing have become the hidden tax of deploying AI in real systems. If you've ever struggled to get clean, machine-readable responses from an AI model-or watched a pipeline break because a response ""almost"" followed the format-this book was written for you. JSON Schema Prompting for AI Agents introduces a schema-first approach to building predictable, maintainable AI pipelines. Instead of treating prompts as informal instructions, you'll learn how to define strict JSON schemas that act as enforceable contracts between your application and the model. By speaking the model's native language-structured data-you'll eliminate ambiguity, reduce errors, and gain confidence that every response matches your expectations, field by field and type by type. This book takes you deep into the practical mechanics of schema-driven AI development. You'll explore JSON Schema design principles, required and optional fields, nested structures, and validation rules. You'll see how to bind schemas directly into OpenAI response formats and function-calling workflows, integrate structured output parsers in LangChain, and enforce runtime validation using tools like Pydantic and jsonschema. Each concept is presented with a production mindset, focusing on reliability, clarity, and long-term maintainability. Beyond individual prompts, you'll learn how to architect complete AI systems. The book covers multi-agent workflows with schema-validated handoffs, intelligent error handling and retries, automated validation in CI/CD pipelines, and semantic versioning strategies for evolving prompt libraries safely over time. These techniques allow you to treat AI prompts like APIs and database schemas-tested, versioned, and trusted. Whether you're a backend engineer, ML practitioner, or technical leader deploying AI at scale, JSON Schema Prompting for AI Agents equips you with the tools and patterns used by top engineering teams to ship reliable AI systems. Move beyond brittle text parsing and guesswork, and start building production-grade AI pipelines that deliver consistent, machine-readable results-every time. Full Product DetailsAuthor: Ethan ColePublisher: Independently Published Imprint: Independently Published Dimensions: Width: 17.80cm , Height: 2.20cm , Length: 25.40cm Weight: 0.712kg ISBN: 9798242626669Pages: 414 Publication Date: 05 January 2026 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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