For the last two years, most organizations have treated Large Language Models as universal engines. One model. One interface. One cognitive layer across everything. It made sense. Large Language Models are broad, abstract, and capable of handling diverse inputs. They think in wide spaces. They synthesize across domains. They are
AI transformation is not a tooling initiative. It is a people, process, and performance initiative disguised as technology. If it does not change how your organization learns, operates, and simplifies itself, it is decoration. Most executives are asking what they should start doing in the age of AI. The more
The way we design teams today assumes a set of constraints that no longer exist. We still optimize for coordination, alignment, and information flow as if humans are the only systems capable of synthesis. Meetings are the mechanism for alignment. Headcount compensates for uncertainty. Collaboration compensates for missing information. Agentic
AI isn’t replacing good trainers and coaches. It’s exposing who the good ones really are. The organizations that adapt intentionally will build capability faster — the ones that don’t will drown in their own noise. Physical and Cognitive Training Follow the Same Rules For the past several years
Introduction For years, the cloud’s biggest selling point was its promise of elasticity — the idea that you could scale up when you need it and scale down when you don’t. It’s the digital equivalent of oxygen: always available, pay only for what you breathe. But that idea
Introduction We’ve entered the age of abundance. More data. More models. More automation. And now, more people using AI than ever before. But abundance has a dark side — slop. AI slop is what happens when people use artificial intelligence as a shortcut for thinking rather than a tool for
Introduction Agentic AI isn’t just another generative model—it’s a system that can act, decide, and operate within your workflows. The question is no longer whether you can use AI, but where, how, and why you let it do so. This post maps the real decision environment your
We’re past the AI hype cycle. Most teams know they need to “use AI,” but I have a hot take after working with a few groups now. Some may be starting in the wrong place: with their data. That’s like starting a fire with wet wood. Technically possible.
The future doesn't reward availability. It rewards value. AI is shifting the center of gravity from who can respond the fastest to who can think the deepest. But deep work doesn’t happen in the glow of notifications or during back-to-back status calls. If we want to stay
We’re in a new age. Not the information age. Not the AI age. The pirate age (stay with me, it's funner that way). R. Buckminster Fuller saw it coming. In Operating Manual for Spaceship Earth, he described how the world pushed people into narrow lanes—specialists with
Most people treat their body like a mystery. I treat mine like a system. Artificial intelligence is the coaching assistantthat keeps the whole thing running—alongside the human coaches that still matter most. This blog is for coaches wondering how to deal with the looming threat of replacement via AI.
AI adoption doesn’t happen overnight. It happens in phases, shaped by emotion as much as capability. For most people, the journey from hearing about AI to actually using it confidently isn’t a single “aha” moment—it’s a curve. A human curve. It starts with fear or doubt,