Category: Generative AI

  • Why Your AI Strategy Is Failing and How to Fix It

    Almost every AI course is the same, conceptually. Here’s how to prompt. Here’s how to set up this or that. Here’s how to do this thing. These are the cooking equivalents of how to use a blender. How to cook a dish. How to write a menu item. They’re good. They’re important. They’re foundation skills.…

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  • You Ask, I Answer: Which Prompt Syntax Is Best?

    Summary In today's episode, I explain how using different syntaxes like Markdown and XML helps improve your AI prompts. Here's what this means for you. You can use structured formatting to guide models toward better understanding and more accurate results. You'll also learn these concepts: how markup languages provide organization to a prompt, why you…

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  • Almost Timely News: 🗞️ How I Code with AI (2025-10-12)

    Almost Timely News: 🗞️ How I Code with AI (2025-10-12) :: View in Browser The Big Plug 🚨 Download the NEWLY UPDATED Unofficial LinkedIn Algorithm Guide now with completely new findings as of last week! Free, form fill required. Content Authenticity Statement 100% of this week’s newsletter was generated by me, the human. You will…

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  • The Critical Question Every Data Analyst Must Ask About Generative AI

    When it comes to reporting with data, especially quantitative data, in generative AI, you have to answer a critical question: Are we using the data for the report, or in the report? This seemingly pedantic question is vitally important. Will the data be used in the report itself, or will the data be used to…

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  • Why Web Traffic Data Fails to Show Real AI Adoption (And What to Do Instead)

    Web traffic is a poor measure of AI adoption. There are tons and tons of infographics floating around proclaiming the top tools in generative AI based on estimated web traffic data, most notably from A16z but also from many others. This is a very, very poor measure of AI adoption because it excludes a ton…

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  • You Ask, I Answer: Is Client Data Safe In ChatGPT?

    Summary In today's episode, I explain whether using proprietary client documents with ChatGPT puts your sensitive data at risk. Here's what this means for you. You gain the knowledge necessary to protect your clients by understanding the inherent limitations of cloud-based AI. You'll also learn these concepts: how to disable OpenAI training settings, why legal…

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  • Who Owns Your AI Agents? The Critical Employment Question for the Future of Work

    Dharmesh: Today: BYOD (Bring Your Own Device) Tomorrow: BYOA (Bring Your Own Agents) More and more people will be building their own agents to increase their personal productivity. And, they will take that “team” with them to their next job. I can also imagine a day where companies will gravitate towards hiring people that have…

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  • You Ask, I Answer: How to Build Sales Training GPTs?

    Summary In today's episode, I explain how to build effective custom GPTs for sales training through a granular approach. Here's what this means for you. You can transform your sales training by deploying specialized AI tools that target specific stage gaps. You'll also learn these concepts: the necessity of a formal sales methodology, the power…

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  • Why People Don’t Care If Content Is AI-Generated (And What They Actually Want)

    Far fewer people care about whether it’s AI or not. Far more people care whether it’s useful, helpful, or entertaining for them. A lot of folks are all tied up and twisted into knots about whether a given piece of content is authentically human or not. But when you go out in the world and…

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  • Is Your Company Profiting From Cuts or Growing Through Innovation?

    “Consumer spending isn’t driving company profits as much as reducing expenses and improving efficiency. That could be a problem.” writes the Wall Street Journal about this season’s earnings reports. Gee, you think? Anyone who’s spent more than a week in an Econ 101 class learned that you cannot cut your way to growth, and “lean…

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