AI and the Art of Building Backwards

There are two ways to build backwards. One starts with the answer you actually want and works its way toward the plumbing. The other starts with the plumbing and hopes […]

Written by on September 29, 2026

Your Favorite AI Has a Moat Problem

AI models are getting easier to swap, software can be copied, and everyone wants inside your workflow. Rob digs into what that means for the AI moat, who may have an advantage, and why data centers in space are somehow part of this conversation.

Written by on September 15, 2026

Knowledge Is Having Its Data Moment

AI can get its hands on more of your company’s knowledge than ever before. Fantastic. Now comes the familiar part: making that knowledge organized, trustworthy, and useful. Data people, you may have seen this movie before.

Written by on September 1, 2026

The Crafter’s Edge with Pedro Rossello

The best AI wins don’t always look like the headlines. Pedro Rossello and Oz Osorio join Rob to talk AI business value, the crafter’s edge, and why making one workflow better can matter more than chasing the next big thing.

Written by on August 4, 2026

Everyone’s Priority. Nobody’s Job

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 […]

Written by on July 14, 2026

The End of All You Can Eat AI

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.

Written by on June 30, 2026

Waiting Worked…Until AI

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.

Written by on June 23, 2026

Why Bigger AI Isn’t Always Better

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.

Written by on June 16, 2026

What Happens After the AI Works?

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.

Written by on June 9, 2026