Knowitall Doctors, Mac Keyboards, More Love for CoWork, and Maybe it was the Models After All
AI has been good at sounding smart for a while now. What’s new is it starting to do something useful with that intelligence.
AI has been good at sounding smart for a while now. What’s new is it starting to do something useful with that intelligence.
Most people think AI is just a chatbot. Microsoft Copilot Cowork points to something bigger. Rob and Justin break down why this shift could change how work actually gets done.
AI just handed the “data gene” crowd a much bigger toolbox. Rob and Justin explore why the gap between “I know the answer” and “I can build the thing” is collapsing faster than most people realize.
When leaders are driving AI and employees are expected to adopt it, you’ve got a stakeholder mismatch. Rob and Justin lived this firsthand and they’re not sugarcoating it.
AI communication risks aren’t about hallucinations. They’re about what happens when the machine speaks for you and you don’t notice until it’s already a problem.
Rob and Justin explain why Fortune 500 companies spend months planning AI workflows that take a week to build, and why the agent framework explosion is freezing decision-makers.
AI adoption doesn’t start at work. It starts at home. Rob Collie and Justin Mannhardt explore how families are already acclimating to AI and what that reveals about real world adoption, iteration, and learning.
Juan Garcia shares how Tuio redesigned claims operations to move from stalled pilots to production systems, helping adjusters handle more cases without losing judgment, trust, or control.
Everyone’s talking about AI, but very few leaders have a usable framework for making it work in the real world. In this episode, Rob explains why he’s writing a new book and why plain English thinking about AI matters more now than ever.
Rob and Justin explore whether AI helping you build software faster matters more than software with AI running inside it. The answer: you’re probably doing both. Learn about the magic Lego brick concept and why almost every workflow has room for one piece of AI that transforms everything around it.
The real shift in AI isn’t better models or louder benchmarks. It’s that people with judgment and domain knowledge can now build custom software that actually fits the work.
AI benchmarks make it sound like intelligence is the problem. It isn’t. The models are already good enough. What determines success is everything wrapped around them: structure, context, and intent. This episode explains why chasing model scores misses the point and what actually turns AI into something useful.