Make your GTM team AI-native.

Claude Code for GTM

Last year, the question was "when will models become smart enough?" Then o3 happened. Now it's about context.

Claude Code can handle any GTM task you throw at it. The bottleneck is whether it has the right context at the right time. GTM is different from software engineering — your context comes from several tools at once: your CRM, your sending platform, your enrichment data, your call transcripts, your campaign results. Connecting your entire CRM to ChatGPT isn't enough.

Context engineering is the #1 skill

What actually works: a well-written CLAUDE.md file that acts as the onboarding doc Claude reads every session. Skills that encode how you do specific tasks — writing emails, finding signals, scoring leads — so you invoke a process instead of re-explaining it. And being intentional about pulling the right slice of information for the task, not dumping everything into the context window.

Compound engineering changes everything

Claude Code remembers everything you build. It runs in a local folder on your laptop. You drop in closed-won call transcripts, ICP docs, sales methodology, campaign history. It reads all of it and references it in every future session.

• Campaign 1: You explain everything.
• Campaign 2: It already knows.
• Campaign 5: It's making suggestions you didn't think of because it's cross-referencing patterns across your work.

Chat-based AI is a single sheet of paper with everything about you. Claude Code is an unlimited filing cabinet — organized by project, improving every time you use it.

Workflows vs. agents

We love workflows — Clay tables, scrapers, N8n flows. But workflows don't know you. They execute the same steps regardless of context. An agent looks at an account and decides which enrichment steps to run based on what it knows. It pulls 10-K filings for an enterprise account but checks job postings for a startup, because it recognizes the difference.

The leverage of one GTM engineer

Inside most sales orgs, new ideas take weeks to go from idea to enrichment to sync to messaging to launch. One GTM engineer with Claude Code can do this in an afternoon. Two years ago, this kind of engineering capacity was reserved for VC-backed orgs with massive budgets. Now it's accessible to any team willing to build the context layer.

The unlock isn't prompting skill. It's building a compounding context layer that makes every future session smarter than the last. That's what separates a chat conversation from a GTM engineering system.