Category: AI

  • Optimization vs. Innovation: Why the Next Big AI Leap Isn’t in the Models Themselves

    “(Model) can’t even tell when to go to the car wash!” “(Model) reduced my workload by 84 years and built three new companies in an evening!” These are the two general hot takes on any new AI advancement, especially new models. They’re overly reductionist, absurd caricatures that don’t help us understand a new model and…

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  • So What? Setting Up AI Bot Tracking in Google Analytics

    Summary In today's episode, I walk through the full setup process for tracking AI bot traffic in Google Analytics using Cloudflare Workers as the gatekeeper. Here's what this means for you. You gain a way to finally distinguish machine visitors from human visitors so your analytics reflect reality instead of inflated numbers. You'll also learn…

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  • Stop Measuring the Wrong Metrics: Why ROI is Failing Your AI Strategy

    (Earned – Spent) / Spent = ROI A brief reminder that this is ROI, and nothing else is. Earned minus spent, divided by spent, is return on investment. Nothing else is ROI. If you do not know: What you earned What you spent You cannot measure ROI. Period, end of story. Lots of people are…

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  • You Ask, I Answer: Enterprise AI Compute Costs?

    Summary In today's episode, I explain why hyperscalers are hoarding gigawatt-scale power capacity and what that power grab means for your enterprise AI costs. Here's what this means for you. You can escape rising token prices and cloud dependency by combining on-premise AI hardware with your own distributed green power generation. You'll also learn these…

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  • Why You Must Use Lateral Thinking to Prevent AI From Stifling Your Creativity

    AI generally doesn’t think out of domain. There’s a technique in metacognition called lateral thinking, where you take a concept from one domain and you move it to another domain. For example, if you play World of Warcraft and you know how to win PvP at Arathi Basin, those same strategies and tactics can be…

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  • Stop Boosting Your Competitors: Why Listicles Are Killing Your AI Search Visibility

    Why are your listicles helping your competitors? Research from folks like Lily Ray and Rand Fishkin are pointing out that listicles might be doing more harm than good for GEO/AEO. Why? Step back and think about how large language models work. They’re semantic engines, paying attention to not only words, but word order and the…

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  • Stop Wasting Your AI Budget: How to Plan with Smart Models and Execute with Cheap Ones

    Plan big, act small. With Anthropic’s latest model release, the fabulously expensive Fable 5, it’s a timely reminder that when you have a big, expensive model, you should use it to do planning, and then hand off the execution to a small, fast, cheap model that doesn’t have to think, it just has to follow…

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  • Almost Timely News: 🗞️ The Biggest Problem with AI Today (2026-07-05)

    _Almost Timely News: 🗞️ The Biggest Problem with AI Today (2026-07-05) :: View in Browser_ The Big Plug 👉 New merch! My new LLMS.txt skill is now available in the merch store. Content Authenticity Statement 99% of this week’s newsletter was made by me, the human. You’ll see a list that Claude made in the…

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  • Stop Chasing the AI Hype: Why Good Ideas Always Find Their Way to Your Ecosystem

    If it’s a good idea, it’ll work back to your ecosystem. The AI hype train loves to shout that this or that is about to change everything, and that if you’re not using XYZ thing, you’re forever left behind, a Neanderthal amidst modern man, a third class passenger on the Titanic in steerage. The thing…

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  • So What? How to Measure AI Visibility

    Summary In today's episode, I walk through a practical framework for measuring AI visibility across your marketing analytics stack, including what you cannot measure and what you can. Here's what this means for you. You gain a tiered approach to tracking how AI tools interact with your brand, so you can stop chasing unreliable promises…

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