Building Maintainable Schema-First AI Pipelines with CI/CD, Versioning, and Continuous Validation
JSON Automation at Scale is the culmination of the series a hands-on guide to scaling schema-first AI systems in production environments. Jordan M. Hayes demonstrates how to integrate JSON-driven validation, CI/CD automation, and prompt versioning to achieve continuous quality assurance for AI pipelines.
Learn how to establish automated testing frameworks, manage prompt lifecycle governance, and monitor schema evolution across distributed teams and environments. With practical guidance for deployment, compliance, and performance tracking, this book equips professionals to transform structured AI engineering into a fully automated, continuously validated ecosystem ready for enterprise scale.