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, copywriting, and the systems that turn GTM strategy into actual pipeline. Written by someone building these in production.
Selected work
All projects →AI-native outbound automation — finds leads, writes outreach, reads replies, decides next action. Built on Claude + Supabase + Stripe.
Company research → lead finding → AI email generation pipeline. Includes a jobs mode that surfaces GTM hiring managers and writes personalized outreach to them.
GTM infrastructure end-to-end — CRM architecture, enrichment pipelines, outbound automation, attribution systems.
Recent writing
All posts →Series
GTM Engineering Handbook
The technical stack behind modern revenue systems — CRM architecture, enrichment pipelines, outbound automation, attribution, and the infrastructure that separates scalable GTM from duct tape.
Building WiredGTM
A public build log of real GTM systems — enrichment pipelines, outbound infrastructure, CRM architecture. What works in production, what breaks, and the lessons from doing it live.
AI Engineering for GTM
How AI is reshaping the GTM stack — from AI research agents and personalization pipelines to LLM-powered enrichment and Claude-based automation that replaces entire tool categories.
Browse all topics →Newsletter
I write when I have something worth saying — not on a schedule. New posts go straight to your inbox, no algorithm in between.