Who’s the AI Stakeholder: Leaders or Employees?
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.
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.
Everyone keeps asking whether AI kills Power BI or makes it stronger. Rui Romano flips that entire question on its head. As the Microsoft PM behind PBIP, TMDL, and all […]
Most AI projects fail because they aim at the wrong target. This episode digs into the real pattern behind AI project success and why the smallest, most practical builds create the biggest lift.
A cat truce, a lying chatbot, and an overload of AI written job applications. This episode breaks down why real world AI only works when it has one job and regular tech handles the rest.