MailAdept by mailwarm - AI Agents & Email deliverability experts on your team
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Email deliverability on autopilot. A subscription-based, AI-native email deliverability service where AI agents and human experts work as an extension of your team to audit your infrastructure, fix issues, monitor email health daily, and improve inbox placement with weekly reporting.
Replies
congrats on the launch!
how does MailAdept detect inbox placement issues before they impact campaigns? does it proactively recommend fixes or automatically resolve some problems? curious how much manual work it removes.
ApplySeed
@avery_thompson2 We daily test multiple parameters, with a human in the loop, we do weekly calls to fix together or just fix for you if we have the right access
Mailwarm
@avery_thompson2 Thanks! We continuously monitor deliverability signals across providers to catch reputation and placement shifts early, then our team reviews and recommends the fixes while automation speeds up detection, but changes to your setup stay human-approved rather than auto-resolved, so it removes the manual grunt work of watching dashboards without handing over control of your infrastructure.
Coming from Mailwarm you've got real deliverability data behind you.
When a client's inbox placement drops suddenly, how fast does the team actually respond, is there an SLA or is it more best-effort?
Mailwarm
@diego_joaquin1 Thank you! That's a great question.
We don't operate on a best-effort model. MailAdept continuously monitors your deliverability, so when inbox placement drops or an issue is detected, it's flagged immediately for our team to investigate.
Our goal is to identify the root cause and start working on it as quickly as possible, rather than waiting until your next campaign reveals there's a problem.
mailX by mailwarm
@diego_joaquin1 We flag it almost immediately, since we do use a lot of tools to check the deliverability we are not blocked by only one metric or one tool to say that we have an issue, we work in collaboration with a lot of experts, a lot of data to flag an issue quickly. Take google postmaster tool for example, data is updated only after 48h, also the data will not be updated unless you hit 1000 emails sent daily, we don’t rely only on tool or one metric, we check everything so that we can flag an issue quickly.
Upstream
Looks super cool! Congrats 🔥
Mailwarm
@jontiret thank you for you support!
Took a quick look at the dashboard and the weekly reports are surprisingly clear compared to other tools I've bounced between. Curious how the AI agent piece handles edge cases when something weird pops up in DNS.
Macaly
deliverability is such an underated pain, love the agent angle 🙌 does it work for cold outbound too?
Dial
deliverability is one of those things where everyone claims to fix it but the actual mechanism matters a lot. is this warming up sending domains/IPs the traditional way, or is the "agent" part actually reading bounce and spam complaint signals and adjusting sending behavior in real time
Taking you up on the offer to share a real setup :) I run a solo, low-volume transactional sender on Resend, magic-link auth emails and an onboarding sequence, brand new domain, nowhere near the scale most deliverability tooling is built for.
What makes it stressful is the failure mode is different from marketing email. If a newsletter lands in spam, someone misses a promo. If my magic link lands in spam, the person literally cannot log into their own account, so inbox placement is a hard product requirement, not a growth metric.
Is MailAdept built for that end of the spectrum too (new domain, low volume, auth-critical mail), or is the "AI agents + human experts" model really calibrated for teams already sending at growth-marketing scale? Congrats on the launch!