Identify inactive students and draft re-engagement emails
The user receives personalized draft emails for each inactive student, outlining their progress and next steps, which the user can then review and send.
How it works
The agent queries the school's data to identify students who have not been active for a specified period (e.g., 7 days). It retrieves their current progress, such as the last module completed. Based on this data, the agent drafts a personalized email for each inactive student, suggesting what they have covered and what they should do next. The agent saves these drafts in the account but does not send them directly, ensuring human oversight before communication.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Find all students in the September cohort who haven't logged in for more than 7 days. For each of them, draft a personalized email explaining what they've completed so far and what they should do next to continue their studies.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
«Кто в сентябрьском потоке не заходил больше семи дней?» ... «Составь письмо каждому, кто остановился на третьем модуле»Подключить свой ИИ к школе: Claude, Cursor, VS Code