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Students are turning to general-purpose AI to study, but those tools often “guess” because they don’t know what a teacher actually assigned, emphasized, or expects on an assessment. The result is wasted study time, misplaced confidence, and inconsistent performance. Schools and educators also face a trust gap: they want students using AI responsibly, but they need it to be accurate, transparent, and tied to approved materials. ClasSync AI solves this by grounding study help in class context. When a student connects their LMS (e.g., Canvas/Google Classroom), ClasSync organizes assignments, deadlines, and teacher-provided resources into a clean dashboard, then delivers AI-powered summaries, explanations, review guides, and practice questions based on the course materials, not generic internet answers. Every response is designed to be traceable and audit-friendly: source citations, clear links back to the underlying documents/resources, and confidence signals—so students can verify what they’re learning and educators can trust how AI is being used. Under the hood, ClasSync focuses on reducing hallucinations through a safety-first architecture: retrieval from approved sources, structured prompting, verification checks, and transparency by design. We’re building a study experience that feels premium for students, while meeting the expectations schools have for privacy, security, and responsible AI. Our long-term vision: make AI a trusted tutor for every class, not a risky shortcut—so students learn faster, teachers see stronger readiness, and schools can adopt AI with confidence.