Teachers are the backbone of student learning, yet they’re often navigating a fragmented edtech landscape — juggling multiple tools that may not be grounded in the latest learning science research and pedagogy, much less be interoperable and communicate with each other. The result? A disjointed picture of student progress and missed opportunities to connect learners with the right resources at the right time. What if AI could change that? Imagine a future where edtech tools work together seamlessly, pulling from a rich set of pedagogical resources, aligned to academic standards, to deliver more precise, personalized and instructionally coherent learning materials. This spotlight talk explores how building better public AI K-12 infrastructure tools and middleware could provide the missing “glue” to more seamlessly integrate existing tools and empower teachers to truly drive instructional coherence and focus on what matters most: student learning.