JSON Prompting for AI Agents: Build Predictable, Maintainable AI Pipelines with Schema-Driven Prompts

By Todd Chandler

JSON Prompting for AI Agents: Build Predictable, Maintainable AI Pipelines with Schema-Driven Prompts

Are you still wrestling with AI agents that return unpredictable text when you need clean, machine-readable data? In production environments, ad-hoc prompts lead to brittle pipelines, hidden bugs, and endless post-processing. It's time to transform your approach with schema-driven JSON prompting.

JSON Prompting for AI Agents presents a hands-on framework for building predictable, maintainable AI pipelines. You'll learn how to speak the model's native language, JSON by defining clear schemas that enforce every field, type, and nested structure. From OpenAI function-calling and response-format modes to LangChain's StructuredOutputParser, this book shows you how to bind your contracts directly into each API call. Future proof your workflows with runtime validation (Pydantic, jsonschema, Ajv), robust error handling, automated retries with backoff, and CI/CD integration using GitHub Actions. Version and migrate your prompt libraries just like database schemas to ensure seamless evolution.

What practical skills will you gain?

Master JSON schema design for both prompts and model responses

Integrate schema enforcement into OpenAI and LangChain calls for strict, first-class contracts

Embed runtime checks with Pydantic or jsonschema to catch violations instantly

Orchestrate multi-agent workflows with chained, schema-validated handoffs

Automate JSON linting and validation in GitHub Actions for rock-solid CI

Implement semantic versioning and migration scripts to evolve prompts safely

Ready to move beyond guesswork and brittle text parsing? Equip yourself with the proven techniques that top AI teams use to deliver consistent, reliable JSON output every time. Get your copy of JSON Prompting for AI Agents now and start building schema-first, production-grade AI pipelines that scale with confidence.

• Format: Paperback
• Language: English
• ISBN: B0FL1ZWDW7
• ISBN13: 9798296388490
• Release Date: August 2025
• Publisher: Independently Published
• Length: 114 Pages
• Weight: 0.47 lbs.
• Dimensions: 0.2" x 7.0" x 10.0"