AI headlines have already moved on to the deep end. Most businesses haven’t. Every week brings another headline about what’s next for AI. Build your own model. Train your own […]

For years, the smartest AI model was the obvious choice. Rob Collie and Justin Mannhardt discuss why that may be changing and what it means for AI business strategy.

Before Chapter One comes the story behind it. Rob shares the opening of Fair Game: Customizing AI to Your Business Is Easier Than You Think and explains how a career spent evaluating technology led him to see AI differently than anything that came before.

Microsoft’s latest AI hardware announcement sparks a bigger conversation about choosing the right AI model. Rob and Justin explore when bigger really is better, when it isn’t, and why business value often comes from matching the model to the job instead of chasing the most powerful option.

Getting AI to work isn’t the hard part anymore. Keeping it accurate, trustworthy, and grounded in your business is. Rob and Justin explore why semantic models, data quality, and organizational knowledge have become the real foundation of successful AI implementation.

After months of teasing “the book,” Rob finally shares Fair Game: Customizing AI to Your Business Is Easier Than You Think. Hear the story behind the title, the question that inspired it, and why AI may be much closer to everyday business than the headlines suggest.

AI looks impressive right up until it runs into your business. Your definitions. Your documents. Your people. This episode digs into why Microsoft IQ might matter a lot more than it first appears and why semantic models are suddenly back at the center of the conversation.

Microsoft says acquired skills will appear here. Meanwhile, a non developer built a working review app in Cowork in two days because someone said, “we should probably fix this.” This episode gets into the growing gap between enterprise AI promises and the people already putting the tools to work.

AI automation isn’t waiting for better integrations. It’s logging in, clicking around, and getting things done anyway. That shift is already here, and it’s starting to change how work actually happens.

AI can look finished without being right. This episode gets into why that happens, where most people get stuck, and why the gap between those who “get it” and those who don’t is getting wider.

The job hunt is a numbers game. The problem is, the numbers are brutal. Hundreds of applicants per role. Ghosted applications. “Entry level” jobs asking for experience no one at […]

There’s a moment when the AI workflow shift becomes real. It stops feeling like a demo and starts doing actual work. This episode gets into what changes and why some people still don’t see it.