Amid that market context, Rectanus discussed what distinguishes RGR's model: rather than adding features or expanding content libraries, RGR is building evidence-based accountability infrastructure — tying its agreements to student Science of Reading outcomes and committing to make it right when results don't materialize. He addressed where AI fits in foundational literacy instruction, arguing that it should be used to accelerate mastery of evidence-based reading skills aligned to the Science of Reading, not to bypass structured implementation in favor of engagement metrics. The segment positions RGR as a counterweight to the prevailing ed-tech trend of feature launches and platform expansion, offering instead a model focused on measurable literacy outcomes and accountability for implementation fidelity.