Month: May 2025

  • How to Get Better AI-Generated Content: A Proven Framework for Smarter Prompts

    “tell ‘em what you’re going to say, say it, and then tell ‘em what you said.” This old saw from public speaking (which is better than aimless rambling but still not great) CAN be made to work with generative AI – and when you do it, AI works better. But instead of tell ’em what…

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  • Foundation Principles of Generative AI, Part 8

    In this episode, learn Foundation Principle Number Eight: Ask AI for help with AI. You will discover a powerful technique to get better results from generative AI models. You’ll learn how to improve your prompts and tasks by letting AI guide the information gathering process. You will uncover critical information you did not know you…

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  • Foundation Principles of Generative AI, Part 8

    Summary In today's episode, I explain how you can use generative AI to improve your own prompt engineering and task execution. Here's what this means for you. You gain a way to turn AI models into personalized tutors that fill the gaps in your own knowledge. You'll also learn these concepts: how the magic question…

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  • **”Why Big Tech is Raising AI Costs (And How to Beat the Price Hike with Local Models)”**

    The water is getting warmer. The old adage about frogs in boiling water is what I’m talking about. Big Tech companies, as their AI capabilities increase, are finding the costs of generative AI to be higher and higher. How this shows up: cost increases. Increasingly expensive “pro” and “ultra” subscriptions. Lower rate limits. For example,…

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  • Foundation Principles of Generative AI, Part 7

    In this episode, you will learn foundational principle number seven for using generative AI effectively. You will discover why always summarizing your inputs prevents subtle errors that AI models often make. You will find out how this simple step gives key points in your data more weight for better results. You will understand why always…

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  • Foundation Principles of Generative AI, Part 7

    Summary In today's episode, I explain why you should always have generative AI models summarize their inputs before performing tasks. Here's what this means for you. You avoid critical errors by ensuring the AI correctly understands your data before it generates conclusions. You'll also learn these concepts: how summarization serves as a fact-checking tool, why…

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  • The Unofficial LinkedIn Algorithm Guide for Marketers, Mid 2025 Edition

    Summary In today's episode, I present a new guide that explains the 14 distinct systems powering LinkedIn based on recent engineering research. Here's what this means for you. You gain a data-driven advantage by replacing social media myths with technical insights. You'll also learn these concepts: how the Liger and Lyrank systems drive visibility, how…

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  • From Idea to Reality in 30 Minutes: How AI Turned My Vision Into a Working App

    Your idea is a prompt away from being brought to life. The power of the current generation of AI models is so great that with just an idea and the ability to articulate it and answer questions, it’s just a prompt away from reality. This morning as I got ready to present to SMPS Ontario,…

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  • Foundation Principles of Generative AI, Part 6

    You will uncover the secret connection between AI prompting and effective management delegation. You will discover why treating AI like a certain kind of employee yields dramatically better outcomes. You will learn the essential information AI needs from you to produce valuable, relevant content. You will gain practical insight on how to use AI to…

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  • Foundation Principles of Generative AI, Part 6

    Summary In today's episode, I explain why effective AI prompting relies on the fundamental skill of good delegation. Here's what this means for you. You can transform mediocre AI outputs into high-quality results by treating the machine like a highly capable but forgetful intern. You'll also learn these concepts: the intern metaphor for AI management,…

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