AI Study Planning Agent for Students

Most students know they need to study. What they don't know is when, how long, and how many times to review each topic before an exam. The result is last-minute cramming — the least effective way to retain information. Calendars stay empty until the night before, and by then it's too late.

This agent is built on two of the most well-researched study techniques in cognitive science:

Spaced Repetition - Reviews material at increasing intervals before an exam 14 days out, 7 days, 3 days, and 1 day. Each review forces active retrieval, which moves information into long-term memory.

Active Recall with Pomodoro - Each session asks students to close their materials and write down everything they remember first. This retrieval effort is what strengthens memory. Sessions are 25 minutes long enough to go deep and short enough to stay sharp.

The agent checks if the Study Setup & Preferences page exists

If not, it creates it automatically from a template

Student fills in available days, max study hours per day, and notification email

The agent checks if Google Calendar is connected

If connected, reads existing events to avoid double booking

If not connected, prompts the student to connect or fill in blocked times manually

Method A: Upload syllabus PDF. The agent extracts course name, exam dates, and topics automatically

Method B: Tell the agent directly in chat; it confirms and saves to the setup page

Method C: Fill the course table manually; the agent reads it directly

14+ days

55-min block, 2 topics, two 25-min Pomodoros

7–14 days

45 min, one topic per session

3–7 days

1 hour, one topic per session

Under 3 days

1 hour 30 min deep review session

After scheduling, agent asks if student wants a Study Plan dashboard

The dashboard includes a 30-day calendar view, Topics This Month table, and an exam countdown.

Finished -> Marked as Completed on dashboard

Missed -> Agent asks when to reschedule; never moves without confirmation

Partial -> Short follow-up session scheduled

No reply -> Marked as Pending flagged in weekly report

Sessions scheduled, completed, missed, and unconfirmed

Total hours studied

Topics needing more review before exam

Encouragement based on completion rate

Weekly Session Log updated automatically on the setup page

Google Calendar reads busy blocks and creates study events

Gmail sends post-session check-ins and weekly reports

Notion workspace access reads setup page and creates a dashboard.

Add the agent from the Notion Marketplace

Connect Google Calendar and Gmail in Notion integrations

Agent creates your Study Setup & Preferences page automatically

Upload your syllabus or type your courses directly

Trigger the agent your calendar is filled in minutes