Neeraj Sujan

GTM Engineering · Revenue Systems · AI Automation

The GTM engineering
resource and field notes.

Deep dives on GTM engineering — enrichment pipelines, outbound automation, Clay workflows, AI agents, and the systems that turn GTM strategy into actual pipeline. Written by someone building these in production.

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AI Personalization at Scale: How to Write Cold Emails That Don't Sound Like AI Wrote ThemClaygent: How to Run AI Research at Scale Without Burning Your CreditsCold Email Deliverability Is Infrastructure, Not a SettingHow to Define an ICP That Actually Filters (Not Just Describes)Signals, Intent, and Triggers: The Vocabulary That Separates GTM Engineers from Spray-and-PrayTAM, SAM, SOM: How GTM Engineers Size Markets Before Building Outbound Systems

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