GTM OS

The Vision

Revenue leaders are scarce. Execution is plentiful. What if a CRO could run a lean, AI-native revenue organisation without hiring multiple specialised roles — by designing a system of focused AI agents that handle the volume while humans handle the judgment?

What I Built

GTM OS is an AI-native go-to-market operating system. It’s a specialised agent framework built on Claude that automates GTM functions while keeping humans in control of strategic decisions.

Core Design Principles

1. Memory-first — agents read living documents (ICP, positioning, battlecards) before taking any action. These docs update as agents learn, creating a compounding knowledge base.
2. Single-purpose agents — one agent, one job. Composed together in workflows, not built as monoliths.
3. Humans in the loop — agents can research, draft, and analyse autonomously. They cannot send external emails, update deal stages, or modify pipeline data without approval.
4. Full audit trail — every agent run logs name, timestamp, input, output, token usage, and cost.

Agents

• Prospect Researcher — researches a company and scores ICP fit using web search
• Forecast Analyst — analyses pipeline data, produces forecast narratives with risk flags
• Outbound Writer — writes personalised sequences per account (planned)
• Competitive Monitor — watches competitor moves, updates battlecards (planned)
• ICP Synthesiser — synthesises win/loss data into living ICP documents (planned)
• Health Scorer — scores customer churn risk from product usage (planned)
• Expansion Spotter — finds upsell signals from CS notes and usage data (planned)
• Content Engine — brief to publish-ready draft (planned)

Workflows

• Weekly Pipeline Review — runs every Monday: forecast analysis → Slack summary with risks and next steps
• New Account — CRM trigger → research → sequence → AE alert (planned)
• Competitive Alert — daily monitor → diff → Slack if change detected (planned)
• QBR Prep — account + usage data → QBR deck draft (planned)

Tech Stack

• TypeScript + Node.js
• Anthropic SDK (Claude)
• HubSpot — CRM integration
• Mixpanel — product usage analytics
• Slack — notifications and summaries
• SQLite — logging and audit
• node-cron — scheduling

The Bigger Idea

RevOps is no longer Salesforce administration. It’s systems architecture. The CRO of the future designs agent processes, maintains strategic memory, audits outputs, and monitors costs — while AI handles the volume that used to require a team of five.