You’re not behind (yet): How to learn AI in 18 minutes

The four-part prompt structure, the pull method, and why most people are doing 80% of AI's job for it.

With Dan Martell

"The quality of your output will never exceed the quality of the input to your prompt." — Host

Dan Martell, on the episode

This is a solo breakdown from a founder who has tested thousands of AI prompts across every major platform, built custom AI tools for his own companies, and worked with hundreds of founders on implementation. The pop framing around AI is that the tool is the problem: people switch between ChatGPT, Claude, and Gemini hunting for better outputs. The actual problem is almost always the prompt. This episode surfaces the operational framework underneath: how to structure a prompt so the model has enough context to produce something useful, how to flip from push prompting to pull prompting so AI does the heavy lifting instead of finishing your sentences, and how to codify repeatable outputs into system prompts that work without re-explaining anything. These are the plays that separate the top 1% of AI users from everyone else.