AI Emaily - Your AI inbox that writes like you + replies on autopilot
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AI Emaily is the AI-native inbox that runs like your chief of staff. It reads every message, triages what actually needs you, and quiets the noise. It drafts replies in your own voice — not generic AI text — then schedules and sends across Gmail, Outlook, and any provider from one inbox. Three modes: Manual, Copilot, Autopilot. You approve, it acts, with undo and a full audit trail on everything. Your mail is never used to train models. Start free.
Replies
Solid
Very cool! Can it take some simple actions based on the content of the email as well, via MCP integration or similar?
AI Emaily
@tkeith Hey,
We are in progress building the MCP it's not yet live. Thank you
How do you balance saving users time with ensuring they don't lose visibility into important conversations?
This is the right mental model. In practice, the way to earn that autonomy is almost mechanical: pick one low-stakes lane first (e.g. something like scheduling confirmation, not client negotiations), run it Copilot for a couple weeks and watch the tone, then move to Autopilot only when you've seen it nail that lane and guardrails are set tight. The stuff that breaks in production isn't what your AI missed: it's what you didn't tell it about. Once you're past that, the undo + audit trail stops being a net and starts being a formality.
one layer earlier than the "bad send" question above - what happens when the triage itself misclassifies the lane? like an email that pattern-matches as a routine scheduling confirmation but is actually the last message in a dispute, so it gets waved into the Autopilot lane and never surfaces to you at all. a wrong send you at least see in the audit trail after the fact, but a wrong lane assignment means you might not even know to go looking
Interesting product. I’m curious how AI Emaily decides which emails are safe for Autopilot versus which ones should stay in Copilot mode.
For example, scheduling and simple follow-ups feel low-risk, but client, investor, or negotiation emails seem much more sensitive. Is that boundary set manually by the user, learned over time, or a mix of both?