Summary In today's episode, I walk through the top five strategic use cases of job descriptions beyond just listing job duties, using McKinsey as a real-world example. Here's what this means for you. You'll discover how a single batch of postings can reveal a company's tech stack, strategic direction, and even your own job's vulnerability…
Summary In today's episode, I show you how to move beyond simple content generation and use AI for deep customer research. Here's what this means for you. You can build highly accurate synthetic customers to test your ideas and products before spending money on real-world testing. You'll also learn these concepts: creating detailed character cards…
Summary In today's episode, I explain how you can identify content gaps and unanswered questions to improve your visibility in AI search. Here's what this means for you. You can create content that addresses the actual needs of your audience instead of guessing what they want. You'll also learn these concepts: how to use Reddit…
Summary In today's episode, we break down the latest features of Google's Notebook LM and share practical use cases for marketers, analysts, and content creators. Here's what this means for you. You'll see how this source-restricted AI tool dramatically reduces hallucinations and makes qualitative analysis of customer feedback, interviews, and large document sets far more…
Summary In today's episode, I explore the risks of hallucinations in deep research AI and provide strategies to mitigate them. Here's what this means for you. You can leverage deep research tools more reliably by learning how to guide them with precision. You'll also learn these concepts: how precedence rules resolve contradictory data, why specific…
Summary In today's episode, I walk through a practical workflow for extracting insights from qualitative data using generative AI, from scraping Reddit forums to validating course pricing against ideal customer profiles. Here's what this means for you. You gain a repeatable method for turning messy, unstructured customer feedback into actionable strategy grounded in real conversations…
Summary In today's episode, I sit down with Stephanie Francis, founder of Hootology, to explore how generative AI is transforming market research by quantifying qualitative insights. Here's what this means for you. You'll see how blending AI-driven analysis with real human respondents can reveal trends and outliers that traditional surveys often miss. You'll also learn…
Summary In today's episode, I run an experiment testing how different large language models quantify the meaning of frequency words like never, sometimes, and always. Here's what this means for you. You discover that the same word can carry wildly different percentage values depending on which AI model interprets it. You'll also learn these concepts:…
Summary In today's episode, I break down a February 2024 academic paper on efficient transformers and explain why context window size determines an AI model's problem-solving power. Here's what this means for you. You'll see how the upcoming jump to million-token context windows will let AI tackle complex tasks like legal case analysis by the…
Summary In today's episode, I explore how generative AI unlocks government data trapped in hard-to-use formats like PDFs and legacy database outputs. Here's what this means for you. You gain a practical way to extract and transform publicly available but practically inaccessible government records into formats ready for analysis. You'll also learn these concepts: how…
