Study Architect
Mastery-based AI learning for Computer Science. Students use AI to get answers but don't actually learn. We're building the engine that guarantees provable skill acquisition.
Mastery-based AI learning for Computer Science. Students use AI to get answers but don't actually learn. We're building the engine that guarantees provable skill acquisition.
AI maps prerequisite chains from your course materials. Can't learn recursion before functions.
AI generates problems calibrated to your current level with spaced repetition for long-term memory.
90%+ demonstrated proficiency required before advancing. See what you learned, not just what you covered.
Syllabus, slides, transcripts. AI extracts a concept graph with prerequisite dependencies.
AI generates problems targeting your weakest concepts. Spaced repetition schedules reviews at optimal intervals.
Mastery gates verify proficiency before progression. Dashboard shows provable learning outcomes.
Quantelect is building Study Architect, an AI learning engine for Computer Science education. We combine knowledge graphs, adaptive practice generation, spaced repetition, and mastery verification to guarantee provable skill acquisition.
info@quantelect.com
