The Augmented Language Teacher provides a comprehensive roadmap for online language educators navigating the complex intersection of Artificial Intelligence and federal 'Regular and Substantive Interaction' (RSI) regulations. The book introduces the RSI-L2 Framework, a principled approach that bridges Second Language Acquisition (SLA) theories-such as Krashen's Input Hypothesis and Vygotsky's Zone of Proximal Development-with modern AI capabilities. Rather than viewing AI as a replacement, the book positions the instructor as a 'Interactional Architect' who uses technology to scale personalized feedback, monitor comprehension in real-time, and facilitate deep peer negotiation. By moving beyond 'performative compliance,' the text offers a thirty-day implementation plan for teachers to reclaim their time from routine tasks and reinvest it in high-value human connections. It is an essential guide for educators seeking to maintain academic rigor and human empathy in an increasingly automated landscape.