Category: Generative AI

  • Why the MAICON Conference Feels Like Home for Marketing and AI Professionals

    “It isn’t a place, it’s a people.” – Odin to Thor One of the most challenging things we face every day in an increasingly machine-mediated world is finding that sense of community, of home. There’s no shortage of distractions, no lack for digital dopamine hits, but a place you can legitimately call home? That’s hard.…

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  • How to Direct Large, Medium, and Small AI Models Differently for Better Results and Lower Costs

    Give directions to the intern differently than you give directions to the manager. In every AI system, there are more or less 3 classes of model: Big, very smart, slow, expensive Medium, smart, moderate in cost and speed Small, dumb, fast, cheap Despite what model makers say, you do not and should not prompt these…

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  • AI Video Is Now Cheap, Fast, and Good Enough for Advertising

    Few things show how fast AI has progressed like video. Do you remember, a scant 3 years ago, how hilariously bad the Pepperoni Hug Spot video was, with crazy distortions, alien-like people “eating” pizza? If you put the script through a modern video generator today like Google’s Flow, you can see how fast AI has…

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  • Each Dollar Earned by Anthropic Costs $113 in Compute and Massive Water Usage

    For every dollar Anthropic has earned, it has irrevocably committed $113 in compute costs over the next 7-10 years, according to the WSJ leak of their S-1 IPO filing. And what does that much compute equal in tangible terms? Based on Anthropic’s own disclosures plus that of its compute partners, NVIDIA, and independent sites like…

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  • How a Manager’s Preference for AI Distorts Headcount Decisions

    I’m an objectively poor manager. It’s not my skill set. I don’t have a ton of patience with people. I get frustrated easily when people don’t follow instructions. As a GenXer and the son of an Army captain, I grew up in a culture where management followed a strict command and control structure. So I…

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  • Almost Timely News: 🗞️ My Late 2026 AI Tech Stack (2026-10-25)

    _Almost Timely News: 🗞️ My Late 2026 AI Tech Stack (2026-10-25) :: View in Browser_ The Big Plug(s) 🚗 Missed MAICON 2026? You can catch the replay of my session here! ✍️ Enroll in my new course, AI for Writers and learn how to make AI write better. My Unofficial LinkedIn Algorithm Guide is updated…

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  • Why AI Therapy Is Not Viable Without Accountability

    Here’s the thing about LLMs and therapy. The fundamental nature of an LLM is probabilistic. That’s literally what it is. LLMs by their nature understand probability. They understand frequency. They have enormous visibility into all the knowledge we’ve put online. They have no true understanding of right and wrong, good and evil, moral or not.…

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  • So What? Aligning Content Marketing With Buyer Intent

    Summary In today's episode, I explain how Trust Insights uses generative AI, sales-call transcripts, website content, and search data to align content marketing with buyer intent. Here's what this means for you. You can turn real prospect language and semantic patterns into clearer content decisions across the informational, commercial, and transactional stages of the buyer…

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  • How to Optimize Your Site for Generative AI

    The thing about generative AI optimization or whatever it is you want to call it, is that when models run into low confidence answers in most tools these days, what do they do? That’s right, they trigger a web search. So if you’re good at regular SEO, you’ve got 90% of the problem solved for…

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  • Mind Readings: Should You Publish AI-Written Content?

    Summary In today's episode, I explain why creators should judge content that AI writes by its quality and customer value rather than reject it solely because a machine wrote it. Here's what this means for you. You should use AI when it produces a better result than you can provide alone, while investing upfront in…

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