Academic Ally

The semester usually starts with multiple syllabi, scattered deadlines, grading systems, readings, and exam dates. The problem is not that students do not care. It is that requirements live across PDFs and nothing pulls them into one useful view. Academic Ally turns static syllabi into an actual study strategy.

Students upload their syllabi and Ally extracts courses, deadlines, exam dates, grading weights, and uncertain fields. It never silently saves important details without confirmation, because a wrong AI-generated deadline is worse than no automation at all. Each course gets its own folder while still rolling up into one centralized system.

Ally looks at due dates, grading weight, difficulty, available hours, and progress to recommend what to work on next. The Today view surfaces overdue, at-risk, and upcoming work, while the assistant explains why each recommendation matters instead of leaving students with a flat to-do list.

The focus mode keeps the current goal visible and tracks progress, but it adds just enough friction instead of blocking everything blindly. After each session, Ally logs what happened and folds that back into the plan so the schedule adapts to reality.

Architecturally, it uses a parent orchestrator coordinating five specialists: onboarding, syllabus intelligence, diagnostics, workload planning, and execution. We evaluated the agent structure with a test set before wiring it into the product, checking routing, extraction accuracy, and confirmation gates. It runs as an Electron app with a mobile companion synced through QR code.