The user receives personalized draft emails for each inactive student, outlining their progress and next steps, which the user can then review and send.
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.
- Category: Customer support
- Effect: Changes data in your accounts
- MCP servers: AnySkills MCP (https://koskamo.com/explore/anyskills-mcp)
- Source: Подключить свой ИИ к школе: Claude, Cursor, VS Code (https://anyskills.ru/ai/)
- Source quote: "«Кто в сентябрьском потоке не заходил больше семи дней?» ... «Составь письмо каждому, кто остановился на третьем модуле»"
- Playbook page: https://koskamo.com/explore/use-cases/identify-inactive-students-and-draft-re-engagement-emails
Prompt: 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.