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Milo
Test your AI support agent before your customers do
Milo gives your AI email agent fake customers with real email addresses. Six scripted personas (angry refunds, chargeback threats, silence, GDPR requests) reply over real SMTP, deterministically: same inputs, same replies, no LLM in the reply path. Plus-address run IDs and a JSON lookup API make every conversation assertable in CI. There is no signup: emailing [email protected] is the onboarding. Strict mode rebuffs vague promises. MCP server, llms.txt and an agent skill included.
Top comment
Hi Product Hunt! I built Milo after watching team after team wire an LLM into their support inbox and "test" it by emailing it themselves, politely, twice. Then a real customer threatens a chargeback and the agent hands out a refund and a discount code. A tribunal held Air Canada liable for a policy its chatbot invented; the failure mode is real, and it's not a stack trace, it's a message you can't unsend. Milo is the reply side of email testing. Sandboxes like Mailtrap capture what your agent sends; nothing answers back. Milo answers back, in character: Dana is furious about a double charge, Marcus is threatening a chargeback, Priya just wants her delivery address changed. Real inboxes, real SMTP, correct threading. The part I care most about: there's no LLM anywhere in the reply path. Every persona is a hand-written state machine, so the same inputs produce byte-identical replies, every run. That's what makes it work in CI: add a run ID to the address (refund-angry+run-8f3k2@joinmilo....), poll a JSON endpoint, and assert the conversation reached the right state. A red build means your agent regressed, not that a judge model changed its mind. Try it right now, no signup: email [email protected] from any inbox and Dana replies in seconds. Offer her a refund and she calms down. Offer her a discount instead and she doesn't. For the skeptics: we ran our own quickstart prompt through a coding agent with zero context, and it built a full green-test integration on the first try. The repo, including the bug it deliberately left in, is public: github.com/benhowdle89/milo-agent-quickstart Free tier is 50 conversations a month, no card. It's just me building this (no VC, no growth team) and I answer every email: [email protected]. What persona is missing? I suspect "asks three unrelated questions in one email".
About Milo on Product Hunt
“Test your AI support agent before your customers do”
Milo was submitted on Product Hunt and earned 10 upvotes and 1 comments, placing #28 on the daily leaderboard. Milo gives your AI email agent fake customers with real email addresses. Six scripted personas (angry refunds, chargeback threats, silence, GDPR requests) reply over real SMTP, deterministically: same inputs, same replies, no LLM in the reply path. Plus-address run IDs and a JSON lookup API make every conversation assertable in CI. There is no signup: emailing [email protected] is the onboarding. Strict mode rebuffs vague promises. MCP server, llms.txt and an agent skill included.
On the analytics side, Milo competes within Artificial Intelligence — topics that collectively have 478.1k followers on Product Hunt. The dashboard above tracks how Milo performed against the three products that launched closest to it on the same day.
Who hunted Milo?
Milo was hunted by Ben Howdle. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Milo including community comment highlights and product details, visit the product overview.