214: "Accuracy Through Repetition: When Should You Let AI Work More Independently?" ft. Justin Coats

Erik and Justin tackle viewer-submitted AI questions in a practical Q&A focused on trust, compliance, meeting recording boundaries, and how to scale an AI pilot without losing control. 🧭 Conversation Highlights Trust AI at work by treating it like human trust: start slow, use tasks you can verify, and measure over repetition. For compliance constrained data, begin with low-risk admin work, then use governance, vendor requirements, and existing industry frameworks to guide decisions. Decide wh

🧠 Erik’s Take Erik treats this short review as more than “culture talk.” The conversation with John Marshall keeps circling back to a hard truth: our systems can evolve, but humans bring the same familiar dynamics into every room. The stakes change, the tools change, the mission context changes, but the interpersonal variables stay stubbornly human. Erik’s takeaway is that culture cannot be left as vibes, slogans, or “someone will handle it.” It has to be engineered into the operating reality: a

🧠 Erik’s Take Erik treated the episode like a field report from inside the parts of business most people never notice. After listening to John C. Kill, he came away less focused on “supply chain” as a function and more focused on supply chain as a proving ground for trust. He kept returning to the same paradox: when everything is working, it looks normal, but when it breaks, the organization suddenly realizes how much invisible work has been happening all along. The practical tension that stuck

John Marshall argues the hardest challenge of becoming an interplanetary species is not rockets, it’s psychology. He explains how “humescence” helps individuals and organizations redesign inner, interpersonal, and communication systems so missions teams can handle stress, conflict, and sabotage. The goal is mission performance and accelerated learning, powered by psychologically safe, conflict-ready culture that scales. 👤 About the Guest John Marshall is founder of Humescence, a human-centered

John C. Kill explains why supply chain stays invisible until it breaks, using the “duck paddling under water” metaphor. He shares what friction really looks like: last-mile trucking pressures, supplier consolidation, weather and geopolitical ripple effects, and why supply chain teams fail only when “the wheels come off.” He also digs into low-risk practice, leadership trust, vendor relationships, and how AI should augment people, not replace them. 👤 About the Guest John C. Kill is a seasoned su

Erik and Justin dig into how fast-moving AI platforms are changing (sometimes without warning) and what business leaders can do to avoid broken workflows, plus a few concrete examples like GPT Live voice, ChatGPT Work, and Atlas being retired. 🧭 Conversation Highlights AI updates follow iterative deployment, so changes land when features are ready, not on a schedule, and teams often notice only when something breaks. Justin argues for an “AI champion” steward who monitors release notes, tests