20M · Deliverability decisions a day
Every mailbox is re-evaluated every hour: volume, timing, content and warm-up engagement. No meetings required.
Adeline is the AI engine behind Warmy's warm-up and deliverability tools. Connect a mailbox and she gets to work: reading its signals, drafting a warm-up plan, checking on it every day. Spam risk rising? You'll hear about it from her before your recipients notice anything.
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THE INTELLIGENCE BEHIND EVERY INBOX PLACEMENT
Decisions Adeline makes every day
Businesses warming up with Warmy
Average inbox placement
Running in every time zone you send to
Meet Adeline AI, Warmy's AI engine for email deliverability. She studies every connected mailbox, from sending history and provider to placement results and engagement, and builds a warm-up plan that fits it exactly: how much, when, and what kind. Then she keeps learning. Every day she checks fresh data and tells you the moment something should change, so your mailboxes stay a step ahead of the inbox.
Every mailbox is re-evaluated every hour: volume, timing, content and warm-up engagement. No meetings required.
A human expert learns from their own clients. Adeline learns from patterns across Warmy's whole warm-up network, not one account at a time.
Measured signals, not hunches. Adeline works through the night and across every time zone you send to.
Give every mailbox its own AI deliverability expert, working day and night.
Adeline started with a familiar problem. Warming up a mailbox by hand is slow, easy to get wrong and impossible to scale. So our engineers built a system to do it, and then built it to keep learning.
As soon as you connect a mailbox, Adeline reads its history, provider, reputation signals and sending habits. That's hundreds of parameters, checked before the first email goes out.
Adeline doesn't use templates or a fixed calendar. Each mailbox gets its own warm-up pace, and she reviews that pace daily, suggesting updates whenever the numbers move.
Adeline studies aggregated deliverability patterns across the Warmy network. When something works for one sending setup, similar setups benefit too. Mailbox content is never shared between accounts.
Spam risk, content signals, a sudden drop in placement: Adeline flags them early and tells you how to adjust the plan so the mailbox can recover.
“Making 20 million decisions a day would break a human team. For Adeline, it is Tuesday.”
Adeline is the most sophisticated deliverability expert your team will ever work with. Where a human consultant reviews a handful of accounts and checks in once a week, she analyzes every mailbox, every domain and every send, around the clock, and turns what she finds into clear decisions about what to do next.
She reads authentication, DNS, inbox placement, blocklists, content, engagement and provider behavior as one connected picture, then compares it with patterns learned from millions of mailboxes across the Warmy network. That is how she spots risk before it reaches your reputation, explains exactly why it matters and tells you the fix, so your emails keep landing where they should: in the inbox.
| Fixed schedule | Adeline AI | |
|---|---|---|
| Volume ramp | Fixed scheduleThe same steps for every mailbox | Adeline AISet per mailbox from its age, history and provider |
| Reacting to problems | Fixed scheduleOnly when someone notices | Adeline AIRecommends plan changes when spam placement or risk signals rise (automatic adjustments coming soon) |
| Learning over time | Fixed scheduleNone | Adeline AILearns from outcomes across the Warmy network |
| Warm-up content | Fixed scheduleFixed templates | Adeline AITopic- and language-aware conversations |
| Your effort | Fixed scheduleManual tuning | Adeline AIYou review results and apply Adeline's recommendations |
Every mailbox and domain comes with its own history, reputation and sending profile, and Adeline adapts to each one. That's the difference between this and plain automated warm-up. Warming up a dedicated IP? See IP Warm-Up.
Adeline studies each mailbox's sending activity and warm-up engagement and builds a plan for that mailbox alone. Volume grows gradually, and spam risk stays low.

Based on live warm-up performance, Adeline predicts the right timing, volume and pace for each mailbox.

Before an email goes out, Adeline weighs its content, its subject line and your sender reputation. If the spam risk looks high, she flags it, which gives the emails that matter a better chance at the inbox.

Adeline writes warm-up conversations on the topics you choose, in 30+ languages. The traffic stays varied and never repeats like a template.
Adeline also works as an AI deliverability assistant inside Warmy. Have a question about SPF, DKIM or DMARC, an inbox placement test, a blocklist or your warm-up pace? Ask her, and you'll get a plain-language answer.
Every decision comes from measured signals, in your Warmy account and across the warm-up network. Nothing is guessed.
A few real cases from Adeline's logs:
New Google Workspace mailbox.
Started at 15 emails a day and reached 100 in 43 days.
Rising spam placement at Outlook.
Adeline caught it, warm-up volume was cut by 30%, and placement recovered in 9 days.
High-risk subject line.
A campaign subject line scored as high risk and was rewritten before sending.
To make decisions, Adeline uses operational deliverability data from your Warmy account plus aggregated patterns from the warm-up network. She works alongside Warmy's deliverability team. She doesn't replace it.
What she uses. Sending and warm-up activity, placement results and DNS status. Not the content of your regular inbox.
How network learning works. Only aggregated operational signals. Mailbox content is never shared between customer accounts.
How data is protected. See Security & Trust.
Where AI stops. A poor list, misleading content or missing authentication. Adeline flags these so you or our team can fix them.
Human oversight. Warmy's deliverability experts can review your account and step in.
No guarantees. AI improves the odds. Inbox placement still depends on your list, content and recipients.
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