Monitor User Behavior → Detect Teen Risk Patterns → Trigger Intervention Workflows

Process aggregated user interaction data (time spent, content engagement, social connections) through GPT-4 with prompts trained on teen mental health and safety indicators. Look for patterns like isolation, aggressive interactions, or concerning content consumption without accessing personal messages.

Set up conditional logic in Zapier that triggers different workflows based on risk level: low risk sends educational content, medium risk notifies moderators, high risk immediately alerts crisis intervention teams and parents (where appropriate).

Configure SMS and email alerts to designated crisis counselors, platform safety teams, or trusted adults when high-risk patterns are detected. Include risk summary, user identifier (following privacy protocols), and recommended immediate actions.

For medium-risk cases, automatically book follow-up check-ins with platform counselors or safety specialists. Send calendar invites with pre-filled context about the user's risk indicators and suggested conversation approaches.