Category: Business

  • You Ask, I Answer: Scaling Agencies With AI?

    Summary In today's episode, I answer how agencies scale output and margins without scaling headcount by handing templated tasks to AI. Here's what this means for you. You gain a clear rule for identifying which work to automate and which to keep with humans, so you build a leaner, faster agency. You'll also learn these…

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  • Stop Flying Blind: Why You Must Test Token Usage Before Scaling Enterprise AI

    One of the best things you can do in enterprise AI is set up testbeds to count tokens. Here’s why. Claude’s enterprise pricing is this: Opus 4.8: $5/million tokens in, $25/million tokens out Sonnet 4.6: $3/million tokens in, $15/million tokens out Microsoft’s pricing is based on Copilot Credits; 1 credit is one penny, and they…

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  • You Ask, I Answer: How To Drive Enterprise AI Adoption?

    Summary In today's episode, I tackle Tim's question about whether to mandate AI adoption across non-technical departments or let it grow organically, and I make the case for reframing AI as a way to save jobs and cut software costs instead of headcount. Here's what this means for you. You gain a sharper lens for…

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  • You Ask, I Answer: Autonomous Expense Recovery Via AI?

    Summary In today's episode, I answer Zachary's question about when autonomous AI expense recovery hits a no-brainer price point for enterprise budgets. Here's what this means for you. You discover that your AI automation payback depends almost entirely on how well you document your processes, not on which tool you choose. You'll also learn these…

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  • Stop Asking AI for New Ideas and Start Using It to Refine Yours

    What’s AI best at when it comes to innovation? Context. Specifically, the context in which your idea fits. AI is generally not good at completely net new ideas because they don’t exist in context, AND because by definition something truly innovative is low probability. AI by definition generates the highest probability items in a local…

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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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  • How Much Will Microsoft Copilot Cowork Actually Cost? Use Our Free Enterprise Cost Calculator

    Microsoft Copilot Cowork, the MS licensed version of Anthropic Claude Cowork, became generally available this week, and many folks, including folks at major consulting firms, all pointed out that it’s pay as you go with Microsoft Copilot Credits. A credit is one penny… … and a simple, light task costs 100 credits. The fun with…

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  • Stop Guessing: How to Use AI to Distinguish Real KPIs from Vanity Metrics

    Let’s talk vanity metrics for a moment. Vanity metrics are what I call non-zero metrics. If they’re zero, you’re in deep ๐Ÿ’ฉ. Followers on social media? Sure, that’s not a business outcome, but if it’s zero, you’ve screwed up. A million free users, 2 million free users, they generate the same revenue, but zero free…

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  • Warning: Why You Must Delete Your Cursor Data Before the SpaceX/xAI Acquisition

    SpaceX/xAI has acquired Cursor. What does that mean for your data privacy? If you are NOT an enterprise customer, and you are using private data with Cursor, now is the time to find a competing product and request deletion of your data, before the deal fully closes. DISCLAIMER: I AM NOT A LAWYER. I cannot…

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  • So What? Top 5 Use Cases of Job Descriptions

    Summary In today's episode, I walk through the top five strategic use cases of job descriptions beyond just listing job duties, using McKinsey as a real-world example. Here's what this means for you. You'll discover how a single batch of postings can reveal a company's tech stack, strategic direction, and even your own job's vulnerability…

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