Episodes

Your platform might be stable today because a person is quietly doing unpaid work for it. They read ambiguous docs, interpret confusing errors, follow the “right” sequence of API calls, and pause when a UI asks “Are you sure?” Now picture the same product when ha

An AI answer can be polished, plausible, and completely wrong, and that’s where the real risk shows up. We sit down with Glenn Broder, founder of Learn AI Like a Pro and creator of Human Judgment in the Age of AI, to unpack a problem most AI adoption plans ignore

A lot of founders still build as if hiring is the only way to scale, but that assumption is cracking fast. We sit down with Nicole Patton, a former Google engineer turned AI consultant, to map the real architecture of a one-person AI business and what it takes to

95% of AI pilots fail to scale, and the uncomfortable truth is that most “AI adoption” plans are built for the wrong problem. We are not just introducing a new tool. We are triggering fear, challenging professional identity, and creating a quiet stigma that pushe

Richmond is growing, AI is accelerating, and the uncomfortable truth is that “being interested” is not the same as being ready. We sit down with Will Willis (Executive Director of AI Ready RVA) and Will Melton (Board Chair, entrepreneur, and University of Richmon

AI is making knowledge cheap. That’s the uncomfortable truth underneath the hype and the hopeful invitation underneath the fear. When everyone can access the same models, the same software, and the same automation, the advantage stops being “who has the best tech

AI isn’t only transforming spreadsheets and slide decks. The biggest change is showing up where work is physical, immediate, and deeply human: retail floors, hospitals, classrooms, warehouses, construction sites, and manufacturing plants. That’s where customers f

Middle managers have been “written off” for years, especially whenever a new wave of technology promises faster communication and smarter decisions. We disagree. When AI can summarize meetings, generate reports, and answer routine questions, the manager’s job doe

Most teams don’t fail with AI because they picked the wrong software. They fail because they drop powerful AI tools into workflows that were already overloaded, slow, and full of bottlenecks. That’s like building a race car and then driving it on a road full of p

AI is moving into every corner of work, and it’s creating a quiet trap for leaders: the belief that we have to become deeply technical before we can lead. We push back on that idea and argue for something far more useful: AI literacy. For us, AI literacy isn’t ab