AI Emaily - Your AI inbox that writes like you + replies on autopilot

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.

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How does it actually learn my voice well enough for me to trust autopilot mode, and what happens if a reply goes out that sounds off?

 It's less "learn" and more "you set it" — that's the part that makes Autopilot trustworthy. You define your voice up front in the Context brain (tone, details, guardrails), so drafts sound like you from the start rather than drifting toward whatever a model guessed.

And if one ever reads off: nothing's locked in — Autopilot only sends inside the boundaries you set, every action has undo + a full audit trail, and a quick edit updates your context so it sharpens going forward. You hand over autonomy lane by lane, only as far as you're comfortable.

Check our use cases for different features →

How does the voice training actually work in practice, does it need a big sample of my old sent mail to nail the tone or can it pick it up from just a few replies?

 Neither, actually — no big sample and no scraping required. You don't train it on a pile of old mail; you set your tone directly in the Context brain (your details, how you like to sound, plus optional client profiles for specifics).

That's why it's on-voice from the first draft instead of needing weeks of data. From there, each edit you make just tightens it. You stay in control of exactly what it knows and how it sounds.

Check our use cases for different features →

How does it actually learn my voice well enough to draft replies I'd send myself, especially in the early days before it's seen much of my writing?

 That "early days" gap is exactly the problem we sidestepped — it doesn't need to see much of your writing at all. Your voice comes from the Context brain you set up front (your details, how you like to sound, optional client profiles), not from watching you over weeks.

So even on day one, drafts read like you'd send them, because they're built from what you defined rather than a guess. From there, every edit just tightens it further. You're in control of what it knows and how it sounds from the first reply.

Check our use cases for different features →

How does it actually learn my voice well enough to draft replies that sound like me instead of generic AI filler?

 The trick is it doesn't have to "learn" its way there — you set it. Your voice lives in the Context brain: your details, how you like to sound, and optional client profiles for the specifics. So instead of a model guessing and landing on generic AI filler, it drafts from what you defined — on-voice from the very first reply. Every edit you make just tightens it.

You stay in control of exactly what it knows and how it sounds.

Check our use cases for different features →

The copilot mode drafts replies that actually sound like me, which is the one thing most email AIs completely fail at. Triage was solid too — felt like a real chief of staff scanning the noise.

 "Actually sounds like me" is the whole reason we built it this way 🙌 That's the payoff of setting your voice in the Context brain instead of leaving a model to guess — so it clears the bar most email AIs trip over. And "a real chief of staff scanning the noise" is exactly the feeling we're chasing with triage.

Thanks for the thoughtful run, Tuğba — anything that'd make it even sharper for you, I'm right here.

Check our use cases for different features →

How does the "drafts in your own voice" part actually work in practice? Does it learn from your sent folder, or do you have to feed it samples first, and how long before the replies stop sounding off?

 No sent-folder scraping and no feeding it samples first — that's the part most tools get wrong. The "your voice" bit comes from the Context brain you set: your details, how you like to sound, plus optional client profiles for specifics.

Because you define it up front, drafts are on-voice from the very first reply instead of needing a break-in period. Each edit you make just tightens it further. You control exactly what it knows and how it sounds.

Check our use cases for different features →

How does it actually learn my voice well enough to draft replies I'd send without heavy editing, and is that calibration a one-time setup or something it keeps refining over time?

 Both, in the best way — it's a quick one-time setup and it keeps sharpening. You set your voice once in the Context brain (your details, tone, optional client profiles), so replies land close enough to send without heavy editing from day one — no long calibration wait.

Then the small edits you do make feed back in and refine it over time. So: solid immediately, better the more you use it, and you're always in control of what it knows and how it sounds.

Check our use cases for different features →

how does it actually learn my voice without training on my mail, and is that only on the free tier or paid too?

 You set your voice directly in the Context brain (your details, tone, optional client profiles) — so there's no training on your mail, it just uses what you define. And it's not locked behind a plan: voice-matched drafting works on the free tier, not only paid. You're in control of what it knows from the start.

Check our use cases for different features →

How does the voice-matching actually work when you first set it up? Does it learn from my sent folder, or do I have to feed it examples?

 Neither, actually — no sent-folder scraping and no samples to feed in. When you first set up, you define your tone in the Context brain, plus optional client profiles for specifics. That's why it's on-voice from the very first draft instead of needing a break-in period, and each edit just tightens it.

Check our use cases for different features →

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.

 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 →