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…
_Almost Timely News: 🗞️ How to Connect an AI Agent to a Data Source (2026-07-19) :: View in Browser_ The Big Plug 👉 New book! 21 Use Cases of Generative AI For Marketers 👉 Please take my 6-question Reader Survey to tell me what you want! The drawing winner for the summer survey is Tiina!…
PSA: Agents do stuff for you. In all the buzz about AI agents, very few people are using the term for what it means. Agents in computing are not new. We’ve had agents of some kind since 1963. Every time you take your phone and connect to a new wifi point, a slew of different…
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…
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…
Summary In today's episode, I explore why retrieval augmented generation and hybrid databases render fine-tuning obsolete for most enterprise AI applications. Here's what this means for you. You can cut AI costs and reduce security risks by combining vector databases, structured databases, and knowledge graphs instead of retraining models on your proprietary data. You'll also…
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…
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…
