Agentic GTM Infrastructure

The autonomous operating system for go-to-market.

Five AI agents. One shared runtime. Zero fragmented workflows.

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Architecture · Agent Specs · License

The Problem

Without Agentic GTM	With Agentic GTM
Manual research scattered across tabs and tools	AI agent continuously researches and synthesizes market intel
Copy written from scratch every time	Agent-generated drafts with A/B variants, refined by feedback loops
Outbound campaigns stitched together with 5+ tools	Unified pipeline: copy → send → track → optimize
No visibility into what's working	Real-time dashboards feeding into strategic synthesis
Scaling means hiring more people	Scaling means spinning up another agent

How It Works

A hub-and-spoke architecture where a central Chief of Staff agent triages, delegates, and orchestrates four specialized domain agents — all communicating through Discord and persisting state in PostgreSQL.

Meet the Agents

	Agent	What It Owns	Key Integrations
🧠	Chief of Staff	Triage, delegation, daily standups, cross-agent orchestration	Discord, PostgreSQL, Runtime API
🔍	Market Researcher / Writer	Market research, cold email copy, LinkedIn messaging, A/B variants	LLM API, CRM enrichment
⚙️	GTM Ops	Workflow automation, sending infrastructure, analytics pipelines	n8n, PostgreSQL, Metabase
🎨	Designer / Brand	Visual identity, landing pages, brand consistency, design system	Design tools, frontend frameworks
🛡️	ARE (Agent Reliability Engineer)	System health, incident response, security auditing	PostgreSQL, monitoring, GitHub

The Stack

Layer	Technology
Agent Development	Claude Code
Runtime	TypeScript agent framework + WebSocket gateway
Coordination	Discord (channel-per-agent pattern)
State	PostgreSQL (operational DB + analytics DB)
Workflows	n8n (self-hosted, webhook-driven)
Dashboards	Metabase → Pathmode (strategic synthesis)
Hosting	Local services + cloud deployments

Two Feedback Loops

The system doesn't just execute — it learns.

GTM Performance Loop

Agent System Loop

What This Is — and Isn't

This is:

• A reference architecture for production multi-agent GTM systems
• A documented pattern for hub-and-spoke agent coordination
• A framework for scaling go-to-market with AI agents
• Patent pending intellectual property

This is not:

• A SaaS product (yet)
• Open-source code you can fork and deploy
• A theoretical whitepaper — this runs in production

Design Principles

Principle	Why It Matters
Single-owner domains	Each agent owns one area. No overlap, no confusion.
Human-in-the-loop	Agents draft; humans approve. No unsupervised sends.
Observable by default	Every agent logs heartbeats, completions, and failures.
Personality is a feature	Identity files shape how agents prioritize, communicate, and escalate.
Feedback-driven	Both GTM output and the agent system itself improve through structured loops.

Scaling Roadmap

New agents follow a standard pattern: identity files → runtime config → Discord channel → database record. Spin up a new agent in hours, not weeks.

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Built by Britney Duffy

Copyright © 2026 Britney Duffy. All Rights Reserved. Patent Pending.

See LICENSE for details.