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Coming soonLearn the discipline by building the architecture.
Hands-on Learning Journeys for tech-savvy operators who want to engineer agentic GTM systems, not just read about them. Each Journey takes one plane, one surface or one workflow from the reference architecture and builds it end to end, with the decisions, the code and the measurements shown.
01 —The discipline
Three overlap zones. Four planes. One practice.
Agentic GTM Engineering is the practice of designing, building and operating production-grade agentic systems at the heart of the revenue engine. It combines GTMOps’ ownership of the revenue stack, DevOps’ software engineering discipline and AgentOps’ lifecycle management of agentic systems in production.
Figure 1. An emerging discipline at the intersection of GTMOps, DevOps and AgentOps, 2026 to 2028, and where each overlap zone lands in the four-plane architecture.
- GTMOPS × AGENTOPSAgentic Operations EngineeringHOME PLANE · COGNITION
Deciding how agents participate in revenue workflows, then building them to do so. The Context Engine, capabilities as roles, the decisions that stay with people.
- GTMOPS × DEVOPSGTM Platform EngineeringHOME PLANES · EXECUTION AND DATA
Owning the revenue platform as an engineered system: version-controlled catalogs and context libraries, pipelines for safe change, observability across GTM workflows.
- AGENTOPS × DEVOPSAgentic Reliability EngineeringHOME PLANE · TOOL, AND ITS GOVERNANCE
Agents as first-class production services: gates in the tool layer, one credential gateway, behavioral evaluation, incident runbooks, supply-chain discipline.
02 —Learning Journeys
You do not watch videos or copy templates.
You engineer functional components of an agentic GTM stack with scaffolding, examples and room to experiment, alongside fellow travelers exploring the same territory. The platform we operate for clients is the platform we teach, and the MCP servers in the Journeys are the MCP servers in production.
Put a conversational surface over an existing stack and move one recurring workflow into it.
Stand up governed, bridge and ground-truth servers over one website and route writes by risk.
Give the agent infrastructure it can operate through one protocol: set up, deploy, inspect and repair the services it depends on.
Decide where the master record lives and define each analytics event once.
03 —Who it is for
You own the stack and the data and want a principled way to introduce agents without losing control. Your first question is where the master record lives.
You already think in architectures, automations and CI/CD. The Execution and Data Planes are your home ground.
Tech-savvy tinkerers who want to move from power user to agentic stack engineer. The Cognition Plane’s capabilities are where you start.
You are quietly wiring automations and language models into the CRM and wondering what the right way looks like a year from now.
Titles are already drifting: GTM Systems Engineer, Agentic RevOps Architect, GTM Agent Builder, AgentOps Engineer. This is the swim lane.
04 —Waitlist
Want to build it, not just read about it?
Journeys are released alongside the architecture’s editions. You will hear from dale@revworx.ai first.
Would rather start with your own stack?
Start with a conversation. We map what you run today against the reference architecture and show you where the leverage is.