This paper presents a detailed blueprint for implementing a production-grade adaptive learning system for large-scale government training and education. Building on previous research, this work outlines a potential standard for government training. While we envision a robust, evolving framework, advancements in XR, AI, and reasoning techniques such as chain-of-thought prompting and forest-of-thought (FoT) prompting will drive ongoing refinement (Bi et al., 2024; Wei et al., 2022). Our approach focuses on engineering underpinnings, CI/CD pipelines, compliance measures, cost optimization, and monitoring techniques critical for secure deployment.
