Codex, Claude Code: Build Your AI Marketing System that Works on Any AI

AI models are getting more expensive, more restricted, and honestly harder to stay committed. One week Claude feels like the best choice, and then ChatGPT gets better, and then Google shows up with something new. So, the question is no longer which model is the best because these questions matter less and less. Personally, I see the performance

difference between these frontier models is getting marginal, and it's really more about how do you build your AI agent stack so you are not locked into any of them. And exactly this week a member in our community asked this same question. So, in this video, I'll show you how to build one portable AI

marketing agent workspace and run it across Claude and Codex. And the same concept applies when you want to bring it to other platforms. Let's go. So, first things first, what is an AI agent really? Because understanding this concept right is really important as we design the agent stack. And here is NVIDIA CEO Jensen Huang describe it.

>> The agent consists of model, harness, tools and skills, and a runtime. You can think of the model as the brain. The harness as the body. The tools that it uses working in a runtime. >> And what makes an agent instead of a chatbot is the loop. So, it takes an action, check the results, and keep

going until the job is done. So, think of your AI marketing agent. The model determines its intelligence in doing marketing tasks, but the harness is what makes it your own marketing agent. It knows your brand voice, it has access to your campaign data. So, swap Claude for ChatGPT model, the marketing ability changes, but everything that make it