His central argument: the science is settled, but implementation is not. More than 40 states have passed Science of Reading legislation, but district-to-district and classroom-to-classroom variation remains wide — because choosing evidence-based content matters less than whether implementation, accountability, and instructional support receive the same investment as the adoption decision. He cites Mississippi (49th to 9th nationally, Black fourth-graders outperforming peers in 47 states, Hispanic students ranking first nationally) and Louisiana (42nd to 16th, the only state to surpass pre-pandemic reading levels in 2024) as proof that sustained, outcomes-driven execution works. Utah is profiled as a model of accountability infrastructure: $19 million for SoR teacher training, literacy coaches, and progress monitoring systems that screen every K–3 student three times annually. On AI, Rectanus argues that the same outcomes-first discipline must apply — AI presents a real opportunity to strengthen literacy instruction, but only when aligned with the Science of Reading and used to accelerate mastery of foundational skills, not bypass them. He defines outcomes based accountability concretely: monthly student progress tracking, intervention decisions in weeks not semesters, vendor contracts tied to student growth not licenses.