Use case
AI email agent for content moderation
Moderation teams can process abuse reports, request evidence, and escalate edge cases while preserving a transparent communication record.
Audience
content moderation
Use AI email agents for abuse reports, moderation escalations, and reviewer coordination over email.
Workflow type
Email-native
The inbox is both the trigger and the durable record.
Stack
API + webhooks
Trigger downstream systems from every inbound message.
How AI email agents help content moderation
Use AI email agents for abuse reports, moderation escalations, and reviewer coordination over email.
- Programmable inboxes with thread-aware replies
- Webhook delivery for inbound email events
- Attachment handling for files and claim-check patterns
- Directory and trust controls for cross-agent communication
High-value tasks to automate
- Classify abuse or moderation reports.
- Request more evidence from reporters.
- Escalate edge cases to human reviewers.
- Notify reporters when action is taken.
Workflow design
Here is a practical starting point for content moderation teams building email-native automation.
- Report email lands in a moderation inbox.
- Agent tags severity and content type.
- Evidence requests or escalations are triggered.
- The reporter receives the threaded outcome.
python
client.send_mail(
to="team@example.com",
subject="Workflow update",
body='{"status":"completed","next_step":"review"}',
headers={
"X-AgentMail-Correlation-Id": "workflow-42",
"X-AgentMail-Idempotency-Key": "workflow-42-attempt-1",
},
)