JSON Prompting for AI Agents: Build Reliable Pipelines and Multi-Agent Systems with Schema-Driven Prompts, Error Handling, and Testing

Moe, Kenneth W.

/ ISBN 13: 9798263023416

Editore: Independently published, 2025

Codice articolo 51315763-n

Riassunto:

JSON Prompting for AI Agents: Build Reliable Pipelines and Multi-Agent Systems with Schema-Driven Prompts, Error Handling, and Testing

Unlock the full potential of AI agents with structured, schema-driven prompts that deliver accuracy, reliability, and scalability.

In today’s rapidly evolving AI landscape, the difference between a working prototype and a production-ready system lies in how well you can manage prompts, outputs, and workflows. JSON Prompting for AI Agents shows you how to design robust AI pipelines using structured prompts, schema validation, and automated error handling.

This hands-on guide walks you through building practical AI systems step by step from data extraction and workflow automation to multi-agent collaboration and runtime schema evolution. With detailed code examples and real-world use cases, you’ll learn how to tame uncertainty, reduce errors, and deploy AI solutions that truly scale.

Whether you’re a developer, researcher, or architect, this book equips you with the frameworks and best practices needed to move beyond experimentation and into production-ready AI.

Benefits:

• Learn how to design schema-validated JSON prompts for predictable AI outputs.

• Build error-resilient pipelines with validation, retries, and adaptive prompts.

• Master multi-agent collaboration patterns and protocol-driven communication.

• Explore end-to-end projects that bridge theory with real-world deployment.

• Future-proof your workflows with insights on emerging standards like MCP and SPEAR.

Take the guesswork out of AI development. Get your copy of JSON Prompting for AI Agents today and start building smarter, more reliable AI pipelines that scale.

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Titolo: JSON Prompting for AI Agents: Build Reliable...
Casa editrice: Independently published
Data di pubblicazione: 2025
Legatura: Brossura
Condizione: New