Deliverability, targeting, signals and AI agents, written by the team that runs 32,000+ mailboxes every day. With the numbers behind every rule.
FeaturedArticleAI & GTM Engineering
One chat, a loop, or a system on your company's own context. Why the first two produce the same email, and what the third one changes.
Ilya Azovtsev · 4 min readArticleData & Signals
Why filtered database lists and basic Clay tables fail, the five-step research process we run instead, and how to test it on one 1,000-contact batch.
· 3 min
ArticleDeliverability & Infrastructure
The exact rules we run every night on 32,000+ mailboxes: four signals, one sending limit per mailbox, domain-wide cuts, and how volume comes back.
· 5 min
WebinarOutbound Strategy
Replay, deck, SOPs and templates from our AI-driven outbound session, based on how we run outbound across 30,000+ mailboxes. No gate.
· Recording
ResearchDeliverability & Infrastructure
450,000 placement tests across 4,000 mailboxes: seven findings on domain spam, warm-up length, sending volume, recovery and coming back after a pause.
· 4 min
ArticleLinkedIn
Ten years ago they had the same limits. One changed. How to choose between LinkedIn and cold email, and why running both at one person is the wrong build.
· 6 min
PlaybookOutbound Strategy
Start with the number, mine the market research you already own, then build triggers from it. The exact build order to have outbound live by September 1.
· 12 min
WebinarAI & GTM Engineering
Our Claude Code outbound system from the webinar: the recording, the skills on GitHub, the deck and the tools behind each step.
· Recording
ArticleData & Signals
Why outbound fails before the first email: relevancy, buyer signals as hypotheses, and three hypotheses per signal tested in small batches.
· 2 min
Each new post by email the day it comes out, and nothing else.
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PlaybookData & Signals
· 18 min
WebinarOutbound Strategy
· Recording
ArticleDeliverability & Infrastructure
· 1 min
ArticleAI & GTM Engineering
· 5 min
