In Part 1, I showed you what a week looks like when AI runs your marketing. Today I want to show you how I actually built it.
The short version: it is mostly just markdown files. And I didn't write a single line of code. Claude wrote all of it.
Here is the full breakdown.
How It Started: One Conversation
The whole project began with a single Claude Code session.
I opened the terminal and started explaining my situation. Here is my product, here is what it does, here is who it is for, here is who we compete with, here is our value prop. I connected the Ahrefs MCP server so Claude could pull our current keyword rankings and see where we stood in search. Then I asked: build me a go-to-market strategy.
Claude came back with a 90-day content plan. Blog post topics were mapped to SEO pillars. It included a social media distribution cadence, platform priorities, and weekly milestones. This was a concrete, sequenced plan rather than a vague collection of ideas.
From there, I just started executing it one piece at a time. "Write the first blog post." "Set up the social media tracker." "Create the content calendar." Each conversation added a new layer to the system. Within a few days, I had a working marketing operation. I didn't sit down and architect it all upfront. I just kept asking Claude to build the next thing I needed.
The Mental Model: Hire Employees, Not Write Prompts
The first shift that made everything click: stop thinking about prompts and start thinking about job descriptions.
Agentic marketing is the process of using autonomous AI agents to manage end-to-end marketing workflows, from strategy and content creation to distribution and performance analysis.
When you hire someone, you give them:
- A title and scope
- A style guide
- Company documentation
- The right tools
- A schedule
- Clear goals
That is exactly what I built. It just exists in markdown files instead of an employee handbook. A HubSpot survey showed that 64% of marketers were already using AI by early 2024, but most were still using it as a simple drafting tool. The shift to an agentic model changes the AI from a tool into a teammate.
The Team Structure
I have five agents:
| Agent | Role |
