We design AI literacy programs for both educators and students, establishing shared understanding of how AI works, where it is appropriate, and where human judgment must remain primary. Adult and student learning are intentionally aligned while remaining developmentally and professionally distinct.
We design AI to operate within clear institutional boundaries.
Archive AI provides professional development and AI literacy programs for educators, administrators, and institutions. Our work is intentionally staff-facing and governed by the principle that professional judgment remains human.
We do not provide student-facing AI tools, do not collect student data, and do not require user accounts.
Districts retain full control over what information is included, how it is structured, and how it may be used. AI functions as an assistive capability within defined limits, never as an authority over people.
AI is already in use across educational institutions, often without shared understanding or institutional context. Generic AI systems operate by guessing, producing output disconnected from local policy, curriculum, and professional standards.
Archive AI begins from a different premise: institutions remain responsible for how AI is understood, governed, and used. Our work is grounded in professional judgment and institutional coherence rather than tool adoption.