Automate customer service, track interactions, gather insights for improving customer support performance.
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About Milo
Milo provides simulated email correspondents with real SMTP addresses and scripted dispositions for testing AI support agents. It allows teams to evaluate agent responses against predefined customer behaviors such as anger, threats, or silence without involving real customers. Each persona responds deterministically to the same inputs, enabling consistent testing and assertion in CI pipelines. The tool tracks conversation states like opened, escalated, or resolved, providing machine-readable data for automated validation. It integrates seamlessly with existing email workflows by acting as a drop-in replacement for customer inboxes. Milo supports multiple personas, each representing different customer scenarios such as refund disputes, chargeback threats, or GDPR requests. The service operates without requiring changes to the agent’s email infrastructure, only redirecting the destination address.
Key features
- Scripted personas with real email addresses
- Deterministic replies matching predefined behaviors
- Conversation state tracking (opened, escalated, resolved)
- CI integration with machine-readable state assertions
- Six predefined personas covering common support scenarios
- Real SMTP-based replies over actual email infrastructure
- No hosting or infrastructure setup required
- Read-only API for thread lookup and state retrieval
Use cases
- Testing AI support agents against angry or threatening customer replies
- Validating agent responses to refund disputes or chargeback threats
- Automated regression testing of email agent behavior in CI pipelines
Pros
- Simulates real email replies with scripted personas
- Deterministic responses for consistent testing
- Integrates with CI pipelines for automated assertions
- Supports multiple customer scenarios and behaviors
- No changes required to existing email agent infrastructure
Cons
- No free tier or open access beyond the provided personas
- Limited to email-based testing scenarios
- Requires use of specific SMTP addresses provided by the service
Frequently asked questions about Milo
What does Milo do?
Milo simulates email correspondents with real SMTP addresses and scripted behaviors to test AI support agents. It enables teams to evaluate agent responses against predefined customer personas without involving real customers.
Who is Milo designed for?
Milo is designed for teams that need to test AI support agents, including developers, QA engineers, and customer support teams. It is particularly useful for organizations that want to validate agent responses in a controlled environment.
How does Milo integrate with existing workflows?
Milo acts as a drop-in replacement for customer inboxes by redirecting destination email addresses. It operates without requiring changes to the agent’s email infrastructure, making integration seamless.
Can Milo simulate different customer scenarios?
Yes, Milo supports multiple personas, each representing different customer scenarios such as refund disputes, chargeback threats, or GDPR requests. Each persona responds deterministically to the same inputs.
Does Milo provide data for automated validation?
Yes, Milo tracks conversation states like opened, escalated, or resolved, providing machine-readable data for automated validation in CI pipelines.
Is real customer data used in testing with Milo?
No, Milo does not involve real customers. It uses simulated email correspondents with scripted dispositions to test AI support agents in a controlled environment.
