I’ve found a new favorite way to use LLMs: Checking for bad advice. Whenever I'm riffing on growth with ChatGPT, Claude, or Gemini, and I strongly disagree with a premise, I know I’ve struck gold on both content and execution. The Content Signal: LLMs are trained on "generally accepted knowledge." When the AI gives me the standard playbook and my expertise says "no," I’ve found my next topic. If the AI is repeating it, the industry is saturated with it, and the counter-narrative is where the attention is. The Competitive Advantage: "Generally accepted" is often synonymous with "average." If your competitors are using AI to build their growth loops, they are optimizing for the middle of the curve. When you find the gaps where the AI is wrong, you aren't just finding a writing prompt; you’re finding the alpha. The real growth is found in the non-obvious truths that a consensus-machine can’t see.

In this episode, Garrett Brown explains why early-stage startups should hire a Sales Producer—not a traditional Sales Performer—for their first sales hire. He defines the Producer role as the person who invents the sales playbook, identifies target customers, sets pricing,...

The episode argues that for early‑scale startups with clear product‑market fit and ample runway, the biggest cost isn’t customer‑acquisition spend but the time lost to slow learning. It explains why obsessing over CAC too early can double burn by extending...

Great AI solutions do not just replace incumbents. They massively expand the market. Gamma is a great example of this. They remove so much friction from creating an effective presentation that I am now using its preso format to communicate...

Sean Ellis explains that AI product growth hinges on a freemium model that creates an instant "wow" moment, enabling frictionless first use and sparking word‑of‑mouth referrals. He argues AI lacks latent demand, so viral adoption depends on users experiencing powerful...