Category: AI

  • 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…

    Continue reading β†’

  • So What? How to Analyze AI Visibility vs Human Search

    Summary In today's episode, I walk through how to compare AI bot visibility against human search traffic using Bing Webmaster Tools and a coding-driven analysis approach. Here's what this means for you. You'll discover that the strategy for AI visibility is largely the same as for human search, so you can focus on creating quality…

    Continue reading β†’

  • Stop Paying for the Same Prompt: How to Use AI to Build Permanent, Zero-Cost Solutions

    The best use of AI is to create tools so you don’t have to use AI. Unquestionably, generative AI is powerful. It lets you accomplish things outside your skill sets, at speeds greater than you’re capable of. But… it’s also hungry – for electricity, fresh water, bandwidth, and even employment. Token costs on a per…

    Continue reading β†’

  • 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…

    Continue reading β†’

  • You Ask, I Answer: Enterprise AI And The Junior Talent Pipeline?

    Summary In today's episode, I address a viewer's question about how AI absorbing entry-level execution tasks impacts the junior talent pipeline. Here's what this means for you. You'll discover that the path forward shifts from execution training to junior management training, since machines still require oversight and clear direction. You'll also learn these concepts: why…

    Continue reading β†’

  • Is the Next Generation of AI Already Here? How to Build Your Own Fable Ensemble

    What if Fable is an ensemble in a trenchcoat? Paul Roetzer recently commented that a fifth-generation Mythos/Fable open weights model is only 6-12 months away, regardless of government stipulations. That got me to thinking – you never, ever see the back end infrastructure of Claude or any closed-weights provider. Those of us in the open…

    Continue reading β†’

  • You Ask, I Answer: Building Audit Trails For Enterprise AI Agents?

    Summary In today's episode, I explain why enterprise AI agents are failing observability audits and how to fix it by treating them as ordinary software. Here's what this means for you. You'll learn to reuse the monitoring and logging infrastructure you already own to build verifiable audit trails for regulated industries. You'll also learn these…

    Continue reading β†’

  • Stop Wasting Money on AI: The Ultimate Guide to Choosing the Right Model for Every Task

    Use the right model for the right task to save token budget. Planning? Use the biggest, smartest models. Execution? Use a midrange model that can follow directions well. Reading and summarization? Use a light, fast, dumb model that does well when it’s given all the data. If you leave your favorite AI tool set on…

    Continue reading β†’

  • You Ask, I Answer: Managing Enterprise Shadow AI?

    Summary In today's episode, I answer a listener's question about how to track and manage shadow AI and unauthorized local model usage by employees in large enterprises. Here's what this means for you. You can turn what looks like a security loophole into a budget-saving strategy by governing local models instead of banning them outright.…

    Continue reading β†’

  • Almost Timely News: πŸ—žοΈ How To Do Feature Engineering with AI (2026-07-12)

    _Almost Timely News: πŸ—žοΈ How To Do Feature Engineering with AI (2026-07-12) :: View in Browser_ The Big Plug πŸ‘‰ Please take my 6-question Reader Survey to tell me what you want! Content Authenticity Statement 95% of this week’s newsletter was made by me, the human. The glossary at the end I made with Google’s…

    Continue reading β†’