AI Emaily

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?