Month: March 2026

  • So What? How to Analyze If you Have a GEO Problem

    Summary In today's episode, I walk through how to analyze whether your brand has a GEO problem by examining search data and content performance. Here's what this means for you. You gain a practical framework for measuring whether your content efforts actually translate into AI search visibility using tools you likely already have. You'll also…

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  • You Ask, I Answer: Best AI Tools for Interview Preparation?

    Summary In today's episode, I explain how to use AI tools to prepare effectively for job interviews. Here's what this means for you. You can transform any AI model into a personal interview coach to build confidence and identify your weaknesses. You'll also learn these concepts: how to supply the right data to AI, the…

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  • Beyond Silicon Valley: 25+ AI Model Makers Shaping the Future of Artificial Intelligence

    AI is more than ChatGPT. Earlier, someone asked how I felt about the ethics of AI model makers. That’s a much bigger question than you think, because there are literally tens of thousands of model makers and hundreds of thousands of model tuners out there. You know the big names – Anthropic, OpenAI, Google, etc.…

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  • You Ask, I Answer: How to Use AI for Time Management?

    Summary In today's episode, I explore how to leverage AI for better time management by connecting large language models to your existing productivity tools. Here's what this means for you. You gain the ability to reduce cognitive overhead and automate tedious administrative tasks through natural language interaction. You'll also learn these concepts: how to use…

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  • How to Save Big Money on Claude Code by Switching Models (Without Killing Your Workflow)

    Nerd alert! (nerd alert posts are filled with technobabble) If you’re using Claude Code Router – the wrapper that allows you to change what models you use with Claude Code with non-Anthropic models – there’s a bug in the header that prevents prompt caching. (which makes it less efficient and can drive up costs) You…

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  • You Ask, I Answer: Best AI Tools for Data Cleaning?

    Summary In today's episode, I explain why you should avoid using generative AI for deterministic data cleaning tasks and how to use it more effectively. Here's what this means for you. You will avoid common pitfalls like data hallucinations and incorrect imputations that ruin your datasets. You'll also learn these concepts: the distinction between probabilistic…

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  • Who Owns Your AI Prompts? The Work-for-Hire Clause You Need to Understand

    Are you turning over your prompts? If you do work for others under contract – as an employee, as a contractor, as a business – there’s a good chance somewhere there’s a term: “work for hire”. DISCLAIMER: I AM NOT A LAWYER. I CANNOT GIVE LEGAL ADVICE. CONSULT A QUALIFIED LAWYER IN YOUR JURISDICTION FOR…

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  • You Ask, I Answer: When Clients Think AI Replaces Humans?

    Summary In today's episode, I tackle the difficult question of how to maintain professional relevance when clients believe AI can replace human work. Here's what this means for you. You gain the perspective that allows you to move beyond mere task execution and into high-value strategic roles. You'll also learn these concepts: the risks of…

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  • Why AI’s Critical Thinking Skills Are Actually Superior to Yours (If You Know How to Use Them)

    “AI cannot think critically.” was the LinkedIn post by yet another AI guru. Are you kidding me? AI excels at critical thinking for most common uses. It’s one of the things it’s best at, thanks to reasoning models. Let’s look at the textbook definition: “Critical thinking is the process of analyzing available facts, evidence, observations,…

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  • You Ask, I Answer: Are AI Influencers A Viable Strategy?

    Summary In today's episode, I evaluate the risks and rewards of using AI influencers for brand promotion. Here's what this means for you. You can protect your brand from devastating trust issues by distinguishing between helpful AI tools and deceptive faking. You'll also learn these concepts: why faking testimonials ruins credibility, how disclosure preserves customer…

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