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.
The three-mode setup (Manual, Copilot, Autopilot) is
smart, most AI inbox tools force an all-or-nothing
trust decision on day one, this lets people ease in
instead. The "drafts in your own voice, not generic
AI text" claim is the hard part to actually deliver
though, that's where most of these tools fall apart
for me personally. How many messages does it need to
see before the voice actually starts sounding like
you instead of a template?
Also appreciate the no-training-on-mail line being
stated upfront rather than buried in a privacy
policy. Congrats on the launch.
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
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.
Took it for a spin on my chaotic inbox and the triage was genuinely useful, not just keyword sorting. Drafted a few replies in my voice that I'd actually send.
AI Emaily
@serhat273347 Love this — triage that reads the signal instead of keyword-sorting is exactly the bar 🙌 And "replies I'd actually send" is the whole point of drafting from your Context brain. Thanks for running it on a real chaotic inbox, Serhat — that's the best test there is.
Check our use cases for different features → aiemaily.com/use-cases
How do you balance saving users time with ensuring they don't lose visibility into important conversations?
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?
Onepane
launched my own thing today so my inbox is a warzone right now, timing is funny. how long before the drafts start sounding like me and not a template?
AI Emaily
@ashmil_hussain Fellow launcher — respect, launch-day inbox is its own boss battle 🚀 congrats on shipping.
• Your context — who you are, your company, how you like to sound. Set it once and every draft picks it up immediately, so day-one replies already read like you, not a template.
• Client/thread profiles (optional) — for the conversations that need real specifics, you attach the details (docs, project status, key facts) so those replies come back accurate and on-voice.
Then you choose the safety level per moment: Copilot drafts and waits for your click, Autopilot sends inside your guardrails with undo + a full audit trail. So on a warzone day like today you can let the routine "thanks, more info here" replies fly and hand-check the ones that matter.
Concrete launch example: paste your product one-liner + a 5-line FAQ into your context, and every "can you tell me more?" comes back ready to send in seconds. More plays like this → aiemaily.com/use-cases