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
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
The triage is genuinely good, it caught a vendor thread I'd been ignoring without flagging it as urgent. Autopilot sending on my behalf still feels weird but the undo and audit trail take the edge off.
AI Emaily
@birolcanglvkrg Love that the triage caught the vendor thread — that's exactly the "quietly flag what I'd have missed" job 🙌 And honestly, Autopilot feeling a little weird at first is healthy — we designed for that. You're never forced into it: most people live in Copilot (drafts wait for your click) and only hand specific, low-stakes lanes to Autopilot once they trust it — scoped by your Rules and guardrails, every send logged, undo on standby. Ease in as far as you're comfortable and no further. Thanks for the real, honest run, Birol.
Check our use cases: aiemaily.com/use-cases
Drafted a reply in my voice before I even opened the thread, and the triage actually felt like my own filter rather than a bot guessing. The undo and audit trail are the detail that sold me on handing it more autonomy.
AI Emaily
@egeqw3q This is the exact feeling we build for 🙌 And here's the "why," since it's no accident: the triage feels like your filter because it basically is — it runs on your Rules and the Context brain you set, not a black-box guess. Same with the draft waiting before you opened the thread: Agent drafts work your queue in the background and land voice-matched, ready for a glance.
On autonomy — you've got the right instinct. Undo + full audit are the seatbelt, so you can hand Autopilot more over time, lane by lane, and always roll anything back. You stay in control the whole way; it just does more of the busywork as you trust it. Thanks for the thoughtful run, Ege.
Check our use cases for different features → aiemaily.com/use-cases
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?
AI Emaily
@utkutoktaytiow 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 → aiemaily.com/use-cases
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?
AI Emaily
@gamzewxea 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 → aiemaily.com/use-cases
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?
AI Emaily
@erdalekiciler 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 → aiemaily.com/use-cases
How does it actually learn my voice well enough to draft replies that sound like me instead of generic AI filler?
AI Emaily
@zaferag3d 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 → aiemaily.com/use-cases
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.
AI Emaily
@tubakocatru7ag "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 → aiemaily.com/use-cases
how does it actually learn my voice, like is there a setup period or does it pick it up from my sent folder?
AI Emaily
@cerenbozbe2xot Neither, really — no setup period and it doesn't pull from your sent folder. You set your voice directly in the Context brain: your details, how you like to sound, plus optional client profiles for the specifics. That's why it's on-voice from the very first draft instead of needing time to calibrate — and each edit you make just sharpens it. You stay in full control of what it knows and how it sounds.
Check our use cases for different features → aiemaily.com/use-cases
How well does it actually pick up on your voice after the first week? Asking because I tend to be pretty casual with my team but formal with clients, and I'm curious if it learns to switch tones or just settles on one default.
AI Emaily
@dursunersivri This is exactly what Personal Context is built for — no single default that flattens everyone. You can scope tone in two ways: per connected email account (so your team address stays casual, your client address stays formal) and per client profile (dial in the exact register for specific people). When you reply, it automatically pulls the right context for that account/client and drafts in that tone — casual to the team, buttoned-up to clients, in the same inbox. You set the lanes; it just follows them.
Check our use cases for different features → aiemaily.com/use-cases