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.

When the bubble pops, what’s left standing? Everyone’s calling AI a bubble — and yeah, there’s some wild stuff happening behind the scenes. Billions changing hands between the same few […]

Everyone’s talking about AI. Almost no one’s getting specific.And that’s the problem. Rob and Justin break down the three AI categories that matter: chat agents you talk to, embedded assistants […]

AI without the committee: Most manufacturers are still holding meetings about AI. Bill Krolicki just built it. As CFO of Interpak, he didn’t wait for a strategy deck or a […]

Everyone’s talking like AI is coming for your job. Rob’s here to tell you it’s coming for your skill set. If you already think in tables, models, and relationships, congratulations—you’re […]