Is there “men’s writing?” Is there “women’s writing?” I’d like to think we could agree that such gross generalizations are pointless. (not to mention discriminatory, but that’s a topic for a different time) But there is no such thing as men’s writing. There absolutely IS a Christopher Penn writing style or a Katie Robbert writing…
One of the most frequently asked questions in the last 12 months I’ve gotten, especially from parents, educators, and new college graduates: what should kids be focusing on for their careers, given the impact of AI on entry level jobs? I’ve given this a lot of thought, especially as a parent myself, and the resounding…
Summary In today's episode, I explain how to navigate bot detection and website blockers when building production AI agents. Here's what this means for you. You can build more resilient agents by treating web access as an infrastructure challenge rather than an AI intelligence issue. You'll also learn these concepts: how specialized libraries like Playwright…
Of all the models DeepSeek has released lately, none is more interesting to me than DeepSeek Math V2. Not because I have a particular affinity for math. I really don’t. It was the subject I did worst in school. (I credit my 5th grade teacher for instilling a deep seated lack of confidence in me…
What do synthetic diamonds and AI generated content have in common? The imperfections are missing. One of the key things you’ll notice, even among the most advanced AI outputs, is an absence of imperfections. Ask the tool of your choice to generate an image of Fifth Avenue or Trafalgar Square or Akihabara, and you’ll get…
Context engineering is data management. That’s anticlimactic, isn’t it? You hear everyone from Satya Nadella (Microsoft CEO) to AI bros hyping “context engineering” as the next big thing. It’s data management. If prompt engineering is building great recipes, context engineering is building great ingredients. Even the most decorated Michelin-starred chef can’t make rotted, spoiled food…
Ever had that friend who takes everything literally? You love them, you know them, and you know there are certain things either you just shouldn’t ask them, or you have to be very clear and specific how you ask them. That’s AI. Many of our personal language biases, AI takes literally. And because it’s built…
Summary In today's episode, I walk through how to build your own 2025 year-end wrap-up using AI tools like Notebook LM with examples from a Slack community and a podcast. Here's what this means for you. You gain a practical method for turning a year's worth of scattered data into clean summaries, slide decks, and…
