Raw Data with Rob Collie
There have always been people who can't help themselves. Give them a clunky process, a messy spreadsheet, or a problem nobody owns, and they're already halfway to building something better. Rob calls them crafters. They were valuable before AI. They're becoming indispensable because AI rewards exactly the way they've always worked. While everyone else is trying to "become AI native," crafters are doing something much less glamorous. They're making one workflow better. Then another. Pedro Rossello from Aderant is one of those people. Along with Rob and P3's own David "Oz" Osorio, he makes the...
info_outlineRaw Data with Rob Collie
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 LLM. Customize everything. It's exciting, unless you're one of the thousands of companies still trying to answer a much simpler question: where does AI actually fit into the work we do every day? Here's the thing. AI has become everyone's priority and almost nobody's job. Leadership knows it matters but the real work still lives inside thousands of everyday workflows, where tribal knowledge, context, and experience drive...
info_outlineRaw Data with Rob Collie
For about two years, we've all been reaching for the biggest hammer on the wall because someone else was paying for the nails. If you were on a subscription, you grabbed the biggest, baddest model on the menu and used the crap out of it. Two hundred dollars a month for work that would have cost thousands on the meter. It rounded to free. Then a new model showed up for roughly fifteen minutes. It wasn't covered by anyone's subscription. It was priced by the token. And Rob immediately saw something much bigger than a product launch. The migration everyone assumed would be painful, moving...
info_outlineRaw Data with Rob Collie
For years, Rob had a pretty good system. When a new technology showed up, he didn't immediately declare it the next big thing. He wanted to understand why it mattered first. Sometimes that meant jumping in early, like he did with Power BI. Other times, it meant waiting until the signal was stronger than the hype. AI was different. It was the first technology that made Rob question whether his usual approach was enough. That's where Fair Game begins. In this special episode, Rob shares the foreword from the audiobook, along with his introduction to Eddie, the AI...
info_outlineRaw Data with Rob Collie
Microsoft just unveiled a monster of a machine built for local AI. More memory. More horsepower. More everything. Which led Rob and Justin to a question that has almost nothing to do with the hardware. Are we already using more AI than the job actually requires? This conversation starts with Microsoft's latest announcement but quickly turns into something much bigger. When do you actually need a frontier model? When is a smaller model just as good? And what happens when companies stop optimizing for the smartest AI and start optimizing for the right AI? It's a familiar pattern. New technology...
info_outlineRaw Data with Rob Collie
For the past few years, the conversation around AI has focused on the technology. Which model is best. Which tools to use. How fast everything is changing. But once you start building with it, a different challenge emerges. The technology is often the easy part. The hard part is everything else. The definitions that don't match. The documentation nobody trusts. The tribal knowledge living in someone's head. The processes that work only because a few key people know how to navigate around the mess. Business intelligence exposed some of these problems years ago. AI is exposing even more of them....
info_outlineRaw Data with Rob Collie
If you've listened to the podcast over the past several months, you've probably heard Rob mention "the book" a few times. Well, it's finally done. In this solo episode, Rob reveals the title, shares the story behind it, and talks about the question that sent him down the AI rabbit hole in the first place: what does this technology actually mean for normal businesses? Not Silicon Valley. Not billion dollar tech companies. The rest of us. What he found was both simpler and more surprising than expected. The farther he got from the headlines and hot takes, the clearer it became that AI isn't some...
info_outlineRaw Data with Rob Collie
Rob was supposed to be finishing his book. Last chapter. Two days past deadline. Freedom was right there. Instead, he hit pause and recorded this. Because something from a few weeks ago wouldn’t leave him alone. A Microsoft exec had dropped “Microsoft IQ” into a conversation weeks ago. At the time, it didn’t fully land. Not unusual. There’s been a steady firehose of new terms, new features, new promises. Most of them sound important. Not all of them are. Then he got deep into the data chapter. The one where you have to stop talking about what AI could do and deal with what it takes...
info_outlineRaw Data with Rob Collie
Garett Medlin just got the official title for the job he was already doing: AI Practice Lead at P3. He’s also the person responsible for Rob trying Cowork in the first place, despite Rob’s very reasonable question: “Why the hell would I want Cowork if I already have Claude Code?” Then Rob accidentally proved Garett right. He made an offhand comment about needing a better way to track feedback on book graphics. Nothing dramatic. Just the kind of annoying little process problem everyone complains about and nobody fixes. Two days later, there was a Slack bot reminding him to review...
info_outlineRaw Data with Rob Collie
Rob didn't go looking for a fight with the medical system. He just showed up with receipts. Claude had already mapped the symptoms, suggested the tests, and summarized the situation better than any portal ever would. And instead of pushing back, the doctor basically said, "Yeah, this all checks out," added a few things, and moved on. No drama. No turf war. Just a quiet moment where you realize… the system didn't break. It just got leapfrogged. The next morning, sitting in an Uber on the way to the fasting lab, Rob had AI log into his medical portal, pull down test results, interpret them,...
info_outlineThere have always been people who can't help themselves. Give them a clunky process, a messy spreadsheet, or a problem nobody owns, and they're already halfway to building something better. Rob calls them crafters. They were valuable before AI. They're becoming indispensable because AI rewards exactly the way they've always worked.
While everyone else is trying to "become AI native," crafters are doing something much less glamorous. They're making one workflow better. Then another. Pedro Rossello from Aderant is one of those people. Along with Rob and P3's own David "Oz" Osorio, he makes the case that the biggest AI wins don't come from chasing the newest thing. They come from solving real business problems with better tools and better judgment.
The funny thing is, those wins don't always look like AI success stories. They look like fewer headaches, smarter decisions, and work that simply gets done better than it did last week. That's the crafter's edge. It isn't flashy. It isn't loud. But it's probably what separates the companies still talking about AI from the ones already putting it to work.