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.
Hey Product Hunt 👋
I'm Nafiul, maker of AI Emaily.
I built this because my inbox had quietly become my second job. Not the thinking — the typing. The same "sounds good, Tuesday works," the polite follow-ups, the triage of what actually needs me. Every "AI email" tool I tried just summarized the pile or spat out replies that sounded nothing like me.
So AI Emaily is an inbox with an autonomous assistant that:
• Triages — surfaces what needs you, quiets the rest
• Writes in your voice — learns your tone, drafts replies that actually sound like you
• Runs on autopilot — schedules and sends, with your approval
• Works everywhere — Gmail, Outlook, any provider, one inbox
You stay in control the whole time: three modes (Manual → Copilot → Autopilot), human approval before any send, plus undo and a full audit trail. Your mail is never used to train models.
It's free to start — I'd love your honest take, and I'm here all day to answer anything. What's the one email task you'd hand off first? 🙌
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?
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.
How do you balance saving users time with ensuring they don't lose visibility into important conversations?
Very cool! Can it take some simple actions based on the content of the email as well, via MCP integration or similar?
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.
The undo and audit trail on every action shows real thought about trust, not just a flashy AI demo.
How does the voice matching actually work in practice? Does it learn from my sent mail, and how long does it take before the drafts stop sounding generic and start reading like me?
How does it actually learn my voice well enough to draft replies I trust, especially in the first few weeks before it has much to go on?
Set it to Copilot mode on my work inbox and it genuinely flagged only the messages that needed me that day, which is more than most assistants manage. The undo and audit trail gave me enough confidence to let it draft and send a few replies while I stepped away.
inbox management is one of those things that sounds trivial until you're spending 2 hours a day on it. the triage piece alone is worth a lot
How does the "drafts replies in your own voice" actually work at the start — do you need to feed it old emails to learn your tone, or does it pick up your style from somewhere else?
Nafiul, congratulations on the launch! Writing in someone's voice is probably one of the hardest AI problems. How do you prevent the model from sounding overly polished or "AI-ish" over time?
How does it actually learn my voice well enough to draft replies I'd send myself without me tweaking every message?
How does it actually learn my voice well enough to draft replies, and is there a sample size or warm-up period where the output might feel off before it gets it right?
Curious how "drafts in your own voice" actually works at the start — do I need to feed it a bunch of past emails, or does it figure that out from a few samples?
How does it actually learn my voice well enough that the drafts feel like me and not a polished assistant version of me, especially in the first few weeks?
Autopilot email sending is the boldest part of this. Once the agent can send from someone's real address, one wrong call lands in a customer's inbox with their name on it. Is there a scope on what autopilot may do on its own, like never emailing new contacts or anything with money in it, or is the undo window doing all the safety work?
The "writes like you" part is the hard part — most AI email tools sound like a press release. Curious how many emails it needs before the voice actually matches?
About AI Emaily on Product Hunt
“Your AI inbox that writes like you + replies on autopilot”
AI Emaily launched on Product Hunt on July 7th, 2026 and earned 191 upvotes and 118 comments, placing #6 on the daily leaderboard. 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.
AI Emaily was featured in Email (36.7k followers), Productivity (656.2k followers) and SaaS (43.1k followers) on Product Hunt. Together, these topics include over 203.4k products, making this a competitive space to launch in.
Who hunted AI Emaily?
AI Emaily was hunted by Nafiul Hasan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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