Real conversations about AI, distilled.

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