Free Tool

Your AI Study Planner

Tell us your learning goal and available time. The AI generates a week-by-week study schedule with optimal session lengths, spaced repetition, and built-in flexibility.

Smarter studying, not harder

The AI Study Planner uses learning science to schedule your sessions for maximum retention and minimum burnout.

Goal-Based Planning

Tell the AI your target — "Pass AWS Solutions Architect exam by March" or "Reach conversational Spanish in 6 months." It calculates the optimal study load and milestones to get you there on time.

Schedule-Aware

Input your available hours per week and preferred study times. The planner builds around your real life — accounting for work hours, weekends, and commitments you set as blocked time.

Cognitive Load Optimization

Sessions are structured to match how your brain learns best. Difficult concepts are scheduled during peak focus windows, with lighter review sessions during lower-energy times.

Spaced Repetition Integration

Review sessions are automatically woven into your plan using the SM-2 algorithm. The AI schedules reviews at the optimal moment before you forget — maximizing retention with minimal time.

Adaptive Rescheduling

Missed a session? The planner automatically rebalances your schedule. Ahead of pace? It suggests bonus material or deeper dives. Your plan is a living document that evolves with you.

Session Structure

Each study session includes a warm-up review, focused learning, practice exercises, and a cool-down summary. Built-in Pomodoro timing with break reminders to maintain peak focus.

Example: ML Engineer Study Week

Here's what a typical week looks like for someone studying 8 hours per week toward a Machine Learning career.

Monday

Deep Learning — Neural Network Architectures (45 min)

Spaced Repetition Review (15 min)

Tuesday

Practice — Build a CNN classifier (60 min)

Wednesday

Deep Learning — Backpropagation & Optimization (45 min)

Review — Previous week concepts (20 min)

Thursday

Rest day — light flashcard review only (10 min)

Friday

Deep Learning — Recurrent Networks (45 min)

Practice exercises (30 min)

Weekend

Capstone project work (90 min)

Weekly assessment (30 min)

Ready to study smarter?

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