Can you run your whole GTM on Claude Code? We’re answering that this Thursday. We’re using Claude Code for GTM: Paid media. Outbound. Reporting. CRM ops. All through AI agents we built ourselves - and that we’re deploying across 70+ B2B clients. On February 26th, we’re opening our terminals and showing the full setup. Live. What we’ll walk through: Outbound → cold email sequences written from real performance data → AI-powered reply handling in under 2 minutes → ICP scoring and signal-based lead prioritization on autopilot ABM/Ads → AI agents that manage LinkedIn, Meta & Google ad accounts → automated campaign creation, reporting & optimization → running paid media from the terminal RevOps → bidirectional CRM sync between Attio, Lemlist & Instantly → live dashboards pulling every data source into one view → campaign diagnostics that used to take hours, done in 60 seconds What you’ll walk away with: → how to build your first Claude Code GTM agent from scratch → the skill architecture behind 32 skills, 12 agents & 2,108 files → which GTM use cases deliver ROI today and where to start We’ll show how the agents work live. Then break down the architecture so you can build your own. February 26th - 1:30 PM EST Comment “WEBINAR” and I’ll send you the link. I’ll see you there!

Everyone's going crazy about Claude skills. Nobody talks about the architecture that makes them work. A skill without a framework around it is just a fancy prompt that drifts after 2 sessions. Here's how to actually structure Claude Code so it compounds: Every project needs 5 layers: 1) Identity - one file that's always loaded. Tells Claude who it is, what the rules are, and where to route tasks. 2) Rules - guardrails that load automatically based on what folder you're working in. No manual prompting. 3) Skills - step-by-step workflows. Only activated when a task matches. Not everything loads at once - that's the point. 4) Agents - sub-agents running on cheaper models. Research, code review, QA. Each one isolated, each one focused. 5) Memory - persistent state across sessions. What Claude learned yesterday, it remembers today. That's the foundation. But here's where it gets powerful. Separate the brain from the muscle. The brain (governance) holds your SOPs, quality standards, and blueprints. It audits. It reviews. It enforces consistency. The muscle (operations) does the actual work. Ads, outbound, content, RevOps. Key rule: working agents never modify their own instructions. They file improvement proposals. The brain reviews. You confirm. Changes go live. That's how the system learns without drifting. Inside operations, 3 layers: 1) Knowledge - strategy and methodology. Playbooks. Never touches live APIs. 2) Execution - bots and scripts. Real operations. Never makes strategic calls. 3) Context - i.e: per-client data. Completely isolated from each other. Each layer loads its own rules automatically based on where you're working. What this gives you: → Every skill gets built the same way → Rules fire without you thinking about it → Memory carries forward (no re-explaining every session) → Every correction you make compounds over time → Destructive actions get blocked before they run This is the difference between "I use Claude Code" and "Claude Code powers my GTM." I built a full framework - folder structure, governance loops, knowledge tiers, self-improvement cycle, everything. Comment "FRAMEWORK" and I'll send it.