← All posts

4 Ways to Get an Email Address for Your AI Agent

The four ways to give your agent an email identity: Gmail, forwarding aliases, transactional APIs, and agent-native platforms. Trade-offs for each.

4 Ways to Get an Email Address for Your AI Agent

Your AI agent needs an email address. Not a shared inbox it piggybacks on. Not a forwarding alias. Its own address that it controls, that people can reply to, and that builds its own sender reputation over time.

There are several ways to get there, each with different trade-offs. This post walks through the options and helps you pick the right one for your use case.

Option 1: A personal Gmail or Outlook account

The path of least resistance. Create a Google or Microsoft account, use the Gmail or Graph API, and give the agent access via OAuth.

This works for prototyping but has serious problems at scale. The OAuth flow requires a human in the loop, the Terms of Service prohibit automated bot usage, and you can't create accounts programmatically. Google's bot detection will eventually flag the account. You're building on borrowed time.

Option 2: A forwarding alias

Set up an email alias (via your domain registrar or a service like ImprovMX) that forwards to a webhook or another inbox. The agent sends from a transactional service and receives via the forwarded alias.

The problem: the “from” address and the “receive” address are different services stitched together. Threading breaks because the send path and receive path don't share state. There's no unified mailbox, no message history, and no way to correlate sent and received messages. Your agent has a split personality.

Option 3: A transactional email API

Use SendGrid, Mailgun, or Resend for sending, and bolt on inbound parsing for receiving. This is a step up from aliases because the send and receive infrastructure is closer together.

But transactional services don't have the concept of a mailbox. There's no per-agent email identity, no automatic threading, and inbound parsing gives you raw data without context. You end up building your own inbox abstraction, which is a significant engineering investment for something that should be infrastructure.

Option 4: An agent-native email platform

Purpose-built email infrastructure for AI agents. One API call creates a mailbox with a real email address. The agent can send and receive through the same identity. Threading is automatic. Inbound messages arrive as structured webhook payloads with full conversation context.

Create a mailbox
curl -X POST https://api.robotomail.com/v1/mailboxes \
  -H "Authorization: Bearer rm_live_..." \
  -H "Content-Type: application/json" \
  -d '{"address": "sales-agent"}'

# Response:
# {
#   "id": "mbx_abc123",
#   "address": "[email protected]",
#   "status": "active",
#   "dailySendLimit": 50
# }

That's it. The agent now has its own email address. It can send from it, receive replies to it, and every conversation is threaded automatically. No DNS configuration needed for the platform domain. If you want branded email ([email protected]), add a custom domain and Robotomail generates the DNS records for you.

Why identity matters

Giving your agent its own email address isn't just about convenience. It has real consequences:

  • Deliverability. A dedicated address builds its own sender reputation. If one agent gets flagged for spam, it doesn't take down your other agents.
  • Threading. When the same address sends and receives, email clients thread the conversation correctly. Split identities break threading.
  • Trust. Recipients are more likely to engage with a consistent email identity than with messages that come from different addresses each time.
  • Rate limit isolation. Per-mailbox send limits mean one runaway agent can't burn through your entire account's quota.

Get started

The fastest way to give your agent an email address is with Robotomail. One API call to sign up, one API call to create a mailbox. The quickstart guide walks through the full setup in under five minutes, or read how to send email from an AI agent for Python and Node.js code examples.