AI is making adaptive learning possible, but what does it actually take to build it? Join us as we unpack the three keys: generating real-time content from each learner's context, powering AI coach-and-mentor interactions that guide practice and feedback, and managing the economics of token and server costs to make it all sustainable. Whether you're exploring or already building, you'll leave with a clear-eyed view of what's possible and where to start.
Key Takeaways
Real-time content generation from learner context You'll learn what it takes for AI to generate relevant content on the fly, and where that requires grounding in verified sources rather than open-ended generation.
AI-powered coach and mentor interactions You'll see what it takes to move beyond content delivery to genuine coaching, how AI can guide practice, ask the right questions, and give feedback in the moment, and how human design still shapes the experience behind the scenes.
The economics of token and server costs
You'll understand where the adaptive AI costs come from and how token pricing and hosting drive the number. You will be able to judge whether a given approach is viable at scale before you commit to building it.
