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🤖 Build AI Marketing Agents That That Follow Your Work Anywhere, Any AI You Wish

We'll build flexible AI agents that can move across Claude Code, Codex or other AI models while keeping the same strategy, tasks, and decision-making style.

Author

Robin Do
August 04, 2026

TL;DR

Build AI marketing agents around a portable workspace, not around one AI model. Your brand context, skills, workflows, and agent roles should move between Claude Code, Codex, and other local AI platforms.

The core idea is simple: the model gives intelligence, but the harness makes the agent useful for your business. That harness includes your brand files, project rules, skills, sub-agents, and tool connections.

In this guide, you’ll learn how to set up the workspace in Claude Code, move it into Codex, add a new skill and agent there, then sync everything back. You’ll also see what moves easily, what needs small format changes, and what must be reconnected.

Key points

  • Important fact: context files are the easiest part to move.

  • Common mistake: building everything inside one platform.

  • Practical takeaway: keep brand knowledge in plain files.

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Introduction

You can build one agent that reads your SEO data, finds your worst pages, audits them in a browser, and hands you a fix list. In a single run.

The full build is below: the folder structure, the exact prompts to run, and the 3 buckets that decide what copies clean and what you reconnect by hand.

In this guide, I’ll show you how to build one portable AI marketing agent workspace step by step.

I. Core Concepts: Agents, Harness & Where They Run

An agent is not a chatbot. A chatbot waits for you to ask something, gives an answer, then stops. An agent runs a loop:

Takes an action → checks the result → decides the next step → keeps going until the job is done.

For AI marketing agents, that loop is everything. Your agent can pull SEO data, check performance, create charts, and write insights, all in one run.

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