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Milo Review

Milo provides a simulated email environment for AI support agents to test their interactions before dealing with real customers.

shipped Sep 9, 2026freemium
Milo — product screenshot

Why it matters

1Milo offers a freemium pricing model, including a Free tier at £0 forever.
2The platform includes an API for integration with CI tools, documented at https://joinmilo.email/docs.
3Milo was founded in 2023 by Ben Howdle and operates with a team size of 1.
4Usage pricing is £0.03 per conversation, with 50 free conversations per month.

About Milo

Business Model
Subscription SaaS
Usage Pricing
£0.03 per conversation per conversation
Free Credits
50 conversations a month
Founded
2023
Team Size
1
Funding
Bootstrapped
Platforms
Web
Target Audience
Support teams, developers, businesses testing AI integrations

Pricing Plans

Free
£0 forever / monthly
  • All six stock personas
  • 50 conversations a month
  • Public transcript links
  • Plus-address run IDs for CI
Pro
£29 a month
  • 1,000 conversations a month
  • Custom scripted personas (YAML behaviour contracts)
  • Private transcripts
  • API keys
Team
£149 a month
  • 10,000 conversations a month
  • Seats for your whole team
  • Incident replay
  • Priority scenarios
Founding member
£79, one time / one-time
  • Lifetime 40% off Pro
  • Priority scenario requests
  • Your name in the credits

Cost Examples

  • Pro: £29 a month≈ 11.6p per conversation
  • Team: £149 a month≈ 1.5p per conversation

Leadership

Ben HowdleFounderLinkedIn

overview

What is Milo?

Milo is a simulated email environment tool developed by Ben Howdle that enables developers and support teams to test AI support agents. It allows users to send simulated emails and receive predictable replies from scripted personas, helping to identify potential issues before real customer interactions.

features

Key Features of Milo

Milo offers a suite of features designed to facilitate the testing and validation of AI support agents in a controlled environment. These capabilities ensure that AI interactions are predictable and can be thoroughly debugged.

  • Simulated email conversations for AI agent testing.
  • Custom scripted personas to generate predictable replies.
  • Public and private transcripts for conversation review and analysis.
  • Integration with Continuous Integration (CI) tools for automated testing workflows.
  • Deterministic response behavior from scripted personas.
  • API documentation available at https://joinmilo.email/docs for programmatic access.

use cases

Who Should Use Milo?

Milo is primarily designed for technical teams and businesses involved in the development and deployment of AI support agents. Its functionalities cater to specific needs within the AI testing and quality assurance lifecycle.

  • Testing AI Support Agents: Developers and QA engineers can use Milo to rigorously test AI agents before deployment to production environments.
  • Simulating Customer Interactions: Businesses can simulate various customer interaction scenarios to evaluate AI agent performance and identify edge cases.
  • Tracking Conversation States: Teams can track and analyze conversation states to ensure AI agents maintain context and respond appropriately over multi-turn interactions.
  • Businesses Testing AI Integrations: Organizations integrating AI into their customer support workflows can validate the AI's behavior and responses.

how to use

How to Use Milo

Milo provides a structured approach to setting up and executing simulated email conversations for AI agent testing. Users can define personas and integrate the testing process into their development pipeline.

  • 1Register for a Milo account and select a pricing plan.
  • 2Define custom scripted personas with specific response behaviors.
  • 3Configure simulated email conversations to interact with your AI support agent.
  • 4Send simulated emails and observe the AI agent's replies.
  • 5Review public or private transcripts to analyze conversation flow and identify issues.
  • 6Integrate Milo with CI tools using its API for automated testing.

pricing

Milo Pricing & Plans

Milo operates on a freemium model, offering various tiers to accommodate individual developers, small teams, and larger organizations. All plans include usage-based pricing at £0.03 per conversation.

  • Free: £0 forever, includes 50 conversations per month.
  • Pro: £29 a month, approximately £0.116 per conversation at base rate, designed for individual users.
  • Team: £149 a month, approximately £0.015 per conversation at base rate, suitable for small teams.
  • Founding member: £79, one-time payment, offering a lifetime access option.

Pros

  • +Provides a dedicated environment for testing AI support agents with simulated email conversations.
  • +Offers custom scripted personas for generating predictable and deterministic replies.
  • +Includes an API and integration with CI tools for automated testing workflows.
  • +Features public and private transcripts for detailed conversation analysis.
  • +Offers a freemium model with a generous free tier of 50 conversations per month.
  • +Developed by Ben Howdle, indicating a focused, bootstrapped approach to product development.

Cons

  • The usage-based pricing of £0.03 per conversation can accumulate costs for high-volume testing beyond free limits.
  • As a bootstrapped company with a team size of 1, the pace of new feature development or support response times might be slower compared to larger, funded competitors.
  • The platform is currently web-based, with no explicit mention of native desktop or mobile applications.
  • Requires users to define and script personas, which may involve an initial setup effort.
  • Specific enterprise features like SSO and advanced team collaboration are listed as 'upcoming' for the Enterprise plan, indicating they are not yet fully implemented.

Similar Tools

Milo vs Competitors

Milo distinguishes itself in the email testing landscape by focusing specifically on simulating two-way conversations with scripted personas for AI agent testing, a capability not inherently offered by general-purpose email testing tools.

1
MailHog

Provides a simple SMTP server that captures all incoming emails for inspection in a web UI, without actually sending them to real recipients.

While MailHog effectively captures emails sent *to* it, it doesn't inherently provide a mechanism for sending *replies* from scripted personas. You would need to build custom scripting on top of MailHog's API to simulate the two-way conversation and predictable responses that Milo offers.

2
Mailosaur

Offers temporary email addresses and an API to send and receive emails, making it suitable for automated email testing workflows.

Mailosaur provides the infrastructure (temporary inboxes, API for sending/receiving) to build a similar testing environment. However, unlike Milo, it doesn't have built-in features for defining scripted personas or automatically generating predictable replies; you would need to implement that logic yourself using its API.

3
Ethereal Email

Provides free, disposable email accounts for testing, allowing developers to send and receive emails without needing a real SMTP server.

Ethereal Email offers temporary inboxes for testing, similar to Mailosaur but completely free. Like Mailosaur, it provides the ability to send and receive emails programmatically, but lacks Milo's integrated features for defining scripted personas and generating predictable replies, requiring custom development for that functionality.

4
TestMail.app

Offers unlimited inboxes and an API to receive emails, with features like custom rules and webhooks for automation.

TestMail.app provides temporary inboxes and an API for receiving emails, which can be used to capture messages from your AI agent. While it has webhooks for automation, it doesn't offer Milo's built-in capability to define scripted personas and automatically send predictable replies, requiring external scripting to achieve two-way conversational simulation.

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