Right now, experienced marketers are spending hundreds of dollars a month on AI tools they barely use, or bouncing between platforms every time a new model drops, and wondering why they're not getting more out of any of it. In this episode, Casey breaks down the exact AI stack he runs today as a fractional CMO, including why he has 12 Claude Code windows open at any given moment, why he thinks the $200/month plan is the cheapest high-value purchase he's ever made, and why the interface matters just as much as the model itself.
But this isn't just a gear list. Casey makes a counterintuitive argument about where most people are leaving money on the table with AI, and it has nothing to do with which model they picked. He also walks through a real client problem he solved using AI in a way that a developer couldn't have cracked quickly, and the lesson he took from it about what CMOs should actually be using these tools for. The answer might change how you think about your practice.
Key Topics Covered:
- Claude Code vs. ChatGPT Astra comparison
- Why the interface matters more than the model
- The $6 Uber ride era of AI pricing
- Using AI for computer use and autonomous problem-solving
- ChatGPT for images vs. Claude Design for vector graphics
- Why you shouldn't build things you have to maintain
- Choosing one platform and going deep vs. chasing every new model
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