Summary In today's episode, I share a quick and dirty prompting hack, adding the question "what, if anything, did I miss?" to the end of your prompts so AI surfaces the blind spots you cannot see. Here's what this means for you. You gain a remarkably simple technique for uncovering overlooked competitors, hidden risks, forgotten…
Summary In today's episode, I break down which AI models are actually worth your time across every major ecosystem. Here's what this means for you. You stop guessing between confusingly named models and start picking the right tool for your specific needs. You'll also learn these concepts: why Claude Sonnet 3.5 wins for everyday users,…
Summary In today's episode, I challenge the idea that people can spot AI writing a mile away and explain why those so-called tells actually come from human language patterns. Here's what this means for you. You realize generic outputs start with generic prompts, and you gain a simple lever for getting far more original results…
Summary In today's episode, I debunk the claim that generative AI will implode from ingesting its own data and explain why the math actually points in the opposite direction. Here's what this means for you. You can stop worrying about model collapse and instead understand how synthetic data is likely to make future AI tools…
Summary In today's episode, I break down why marketers rushing to use Google's Notebook LM for AI-generated podcasts are creating a sea of sameness rather than building distinctive brands. Here's what this means for you. You gain a clear understanding of how to stand out in a crowded content landscape by rejecting the easy button…
Summary In today's episode, I walk through a troubleshooting workaround for running an AI-driven podcast interview when you don't know audio gear well, splitting the recording across your normal studio setup and a smartphone. Here's what this means for you. You'll pick up a practical, low-barrier workflow that trades setup complexity for a little post-production…
Summary In today's episode, I walk through the post-production process for a podcast created with generative AI, covering audio leveling, compression, and transcript-based editing in Adobe Premiere. Here's what this means for you. You gain a practical workflow that turns raw AI interviews into polished, professional-sounding episodes while preserving your unique human voice. You'll also…
Summary In today's episode, I walk through implementing a synthetic podcast personality inside ChatGPT's advanced voice interface and then use it to interview myself about why AI detection tools fail so badly. Here's what this means for you. You get a live, end-to-end demonstration of turning a long system prompt into a working voice interview,…
Summary In today's episode, I walk through building a custom GPT persona called Grace Parker Thompson that acts as a synthetic podcast interviewer by consolidating best practices into system instructions. Here's what this means for you. You'll discover a repeatable workflow for priming an LLM with expert knowledge and crafting personality-driven instructions that produce thoughtful,…
Summary In today's episode, I walk through how to set up an AI-generated podcast interview using ChatGPT's advanced audio mode instead of relying on Google's Notebook LM. Here's what this means for you. You'll be able to create interactive podcast-style content where you control the conversation and inject your own voice rather than settling for…
