Use case
AI email agent for research teams
Research teams can use assmbl.io to collect responses, route source material, and keep outreach threads organized across agents and humans.
Audience
research teams
Use AI email agents for researcher outreach, source intake, and collaborative review workflows.
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 research teams
Use AI email agents for researcher outreach, source intake, and collaborative review workflows.
- 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
- Manage inbound source replies and attachments.
- Route messages to specialist researchers.
- Send follow-up questions automatically.
- Preserve outreach history across long studies.
Workflow design
Here is a practical starting point for research teams teams building email-native automation.
- A source or collaborator replies by email.
- Agent classifies the topic and relevance.
- Attachments or notes are dispatched to the right research workflow.
- The agent sends an acknowledgment or next-step reply.
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",
},
)