Your GTM, run by agents

8 agents, 3 workflows, and the operator rules behind serious revenue, like ElevenLabs' Carles Reina.

Carles Reina joined ElevenLabs as employee #4 and built its go-to-market toward $500M in revenue.

His playbook is teachable. That is the whole opportunity.

You can encode an operator’s rules into agents that run the motion for you: source, enrich, sequence, forecast, expand. Your people keep the part that closes deals, the judgment and the room.

Most teams bolt AI onto a broken funnel. This wires operator-grade GTM into a system that runs itself.

Here is the full build. Behind the paywall:

▫️ The 8-agent GTM stack, each one mapped to a proven operator rule, with the copy-paste prompt

▫️ The operator rules as guardrails, so your agents inherit the discipline that scaled revenue, rather than generic best practices

▫️ The 3 workflows that chain them, the morning loop, the outbound loop, and the forecast loop

▫️ The brutal-negativity forecast agent that keeps your pipeline honest and your board trust intact

▫️ The land-and-expand agent that turns one small contract into a whole-account motion

▫️ The tool stack, Clay, HubSpot, Claude, and the connectors that let agents act inside your systems

▫️ The keep-it-human map, the GTM work to protect from automation

▫️ The 30-day rollout, from your first agent to a self-running engine

Pair it with the deeper AI Corner library:

▫️ The AI Agents library for orchestration and reliability

▫️ The Prompting and Context Engineering library for the agent prompts

▫️ The AI Tools and Models library for the stack

▫️ The Business and Investing library for the revenue math

Related builds worth reading next: the five-agent sales team, loop engineering, the how to build an AI agent guide, and the VC founder playbook.

🛠️ The GTM Agent Stack

The full system in one place: the 8 agents with copy-paste prompts, the operator guardrails, the 3 workflows, the tool stack, the keep-it-human map, and the 30-day rollout.

Get The GTM Agent Stack below 👇

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