MailAdept by mailwarm - AI Agents & Email deliverability experts on your team

How does the AI actually decide when to escalate something to a human expert versus handling it on its own?

Congratulations on the launch!

Deliverability genuinely needs an owner, the framing makes sense :) But picking up Curious Kitty's thread: the answers here list what you monitor (DKIM, blacklists, metrics), not how you know the placement number is real.

Gmail and Outlook never tell you if a real recipient hit Primary, Promotions or Spam. So placement usually comes from seed lists, the least representative inboxes there are: they never open, reply, or rescue you from spam. You can read "95% inbox" on the panel and still land in Promotions for the humans who matter.

So: what's actually behind the daily signal, seed panels, Postmaster, real engagement telemetry? And when the panel says green but the leads say spam (like Anas described above), which do you trust?

Congrats on the launch! ;)

The weekly inbox placement reports actually showed changes I could measure in our open rates, which is more than I expected from a "set it and forget it" tool.

Deliverability being nobody's job is the hidden killer. Every founder I've talked to who runs cold email eventually finds out that "we have SPF and DKIM configured" doesn't mean their emails are landing anywhere useful.

Real setup for what it's worth, running 3 warmed domains, 9 mailboxes, mid-launch prep. What I keep learning the hard way:

1) Warmup networks warm you up to other warmup networks. Auth clean, Mail-Tester 10/10, no blacklists, 57% Gmail inbox on first real test. The warmup graph and the real Gmail graph are not the same graph, and no dashboard tells you that.

2) The metrics that predict inbox placement don't show up until they're already broken. By the time reputation drops, you've already sent to a batch you'd like back.

3) The move that changed the most for me was reducing volume even after warmup looked "done." Sending fewer, better-targeted emails from a warm domain outperforms sending more from a "fully warmed" one.

Honest question, what's your take on the tradeoff between adding a deliverability service like MailAdept vs. just sending less volume? I'm trying to figure out if the fix I've been reaching for (throttle everything) is a real fix or a compensation for infrastructure I should be paying someone else to own.

Congrats! Deliverability really is one of those things nobody on the team wants to own until it breaks. Curious how hands on you get when something drops, are you fixing the DNS and auth for the client or pointing them to it?

The setup was painless and I noticed the weekly placement reports actually flagged a SPF misconfiguration I'd been chasing for months. Having both AI and a real person reviewing things feels like the right balance.

Curious how this actually plays out in practice since most deliverability services are kind of hands off. Does the AI agent just flag stuff for a human to review, or can it directly push changes to things like SPF/DKIM records on my behalf?

The weekly reports are surprisingly detailed and actually useful, not just vanity metrics. Pairing AI monitoring with human review feels like a smart middle ground.

The daily monitoring plus weekly reports combo is genuinely useful, finally I can see why emails are landing in spam without digging through dashboards myself.