Summary In today's episode, I explain how the visible chat history dictates the behavior and quality of generative AI models. Here's what this means for you. You improve your results by allowing the model to output its reasoning process directly into the conversation. You'll also learn these concepts: how language prediction models use previous text…
Summary In today's episode, I explain how prompt length affects both casual AI users and professional developers. Here's what this means for you. You can optimize your prompting strategy to improve model quality or reduce operational costs. You'll also learn these concepts: why consumer tools benefit from longer prompts, how word counts drive up API…
Summary In today's episode, I explain the differences between reasoning and non-reasoning AI models. Here's what this means for you. You can significantly improve your results by choosing the correct model class for your specific tasks. You'll also learn these concepts: how reasoning models execute internal thought drafts, why these models handle prompt ambiguity more…
Predictive analytics in marketing is broken. More specifically, predictive analytics at the macro level – like what consumers are going to purchase, how they plan, anticipating demand, etc. is badly broken. And it has been since March 2020. Here’s why. By its very nature, forecasting and predictive analytics rely on historical data. The more stable…
Summary In today's episode, I examine how corporate politics and the "failing up" phenomenon can corrupt your AI training data. Here's what this means for you. You can prevent your AI systems from learning to mimic the deceptive and incompetent patterns of poor performers. You'll also learn these concepts: how the Peter principle destabilizes organizations,…
Beware the parable of the wolf. Andy’s advice and Nicole’s advice about using images in prompts is solid and good… … with one addition. Before you have AI do anything with an image, ask AI to summarize the image first. Why? You MUST validate what an AI model “sees” in an image. AI models don’t…
Summary In today's episode, I put Meta's new Llama 4 Maverick model head-to-head against Gemini, DeepSeek V3, and ChatGPT using a tricky prompt about egg substitutes to see which one actually delivers the right answer. Here's what this means for you. You'll get a real-world benchmark for choosing between closed and open-weights AI models for…
Katie shared this chart from McKinsey this morning, which is… inaccurate. Here’s why. There are three major forms of AI – regression, classification, and generative. We’ve had the first two for decades. You’ve experienced classification AI since the late 1990s when intelligent spam filters first appears to classify email as spam or not. You’ve experienced…
Summary In today's episode, I explain why reasoning models like OpenAI's o1, o3, DeepSeek R1, and Gemini 2 Flash Thinking behave like junior managers rather than forgetful interns, and how to delegate to them effectively using the Trust Insights Prism framework. Here's what this means for you. You will get dramatically better results by treating…
Summary In today's episode, I wrap up Deep Seek Week with a practical verdict on when to use DeepSeek and how to stay flexible as AI models evolve. Here's what this means for you. You get a clear framework for deciding when DeepSeek saves you money, when to self-host for privacy, and why locking into…
