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YOUR PATH TO ARETE
Insights Library
Book Smart, Street Smart, and the Machines We Now Work With
Most of us grew up hearing about two kinds of intelligence. Book smarts belong to the person who masters the material, remembers the research, and can explain a concept cleanly on demand. Street smarts belong to the person who reads a situation quickly, notices what is going unsaid, and knows which rules can bend and which will break something if touched. The distinction has endured because it captures something most of us have seen firsthand: knowing a great deal and knowing
2 days ago4 min read
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"Claude Conductor: Agentic AI Orchestration with Cowork" by Severin Sorensen
We have reached the point where access to artificial intelligence is no longer the scarce resource. Capable AI models are available to nearly everyone, competent drafts generate themselves by the paragraph, and the marginal cost of producing a passable piece of work has fallen close to zero. In that environment the advantage shifts to a quieter and more demanding capability, which is the discipline of directing intelligence toward outcomes that matter. That discipline is the
Jun 35 min read
The Conductor's Imperative: What the New Era of AI Means for Executive Leaders
There is a revealing piece of recent research making its way through leadership circles. When AI systems are given distinct roles, organizational structure, and defined responsibilities within a team, they consistently outperform AI systems that operate without that structure. The finding sounds almost mundane until you sit with what it actually implies: the same organizational principles that make human teams effective also make human-AI teams effective. We are not, in other
May 294 min read
When Your AI Vendor Becomes a Risk: A Plain-English Guide to Protecting Your Intellectual Work
Most executives and coaches who use AI tools think of their conversation history as something like a search history: transient, forgettable, and replaceable. That assumption is worth revisiting. Over the past year, many of us have done something more significant inside AI platforms than simple lookups. We have worked through complex coaching frameworks, drafted nuanced client communications, developed proprietary methodologies, refined our voice and reasoning across hundreds
May 276 min read
How Executives Are Using AI to Gain Organizational Visibility
It is May, and somewhere in your organization, something is quietly off. You can feel it in the slightly too-polished status updates, in the meetings that end without anyone owning anything, and in the YTD results that look acceptable on paper but have left you with a nagging sense that you're not seeing the full picture. You set the goals, held the meetings, and asked the right questions. Yet standing at the midpoint of the year, you find yourself running on instinct more th
May 79 min read
AI 3.0: The Seven Disciplines of Intentional Execution
For the past three years, organizations have applauded AI for writing emails, drafting presentations, and generating marketing copy. That phase, call it Generative Novelty, served a purpose: it forced executives to take AI seriously. But novelty is not strategy, and for CEOs intending to deploy AI as a core operational capability, the game has fundamentally changed. We have entered AI 3.0: the Orchestration and Execution Stage. The progression is worth naming precisely. In AI
May 44 min read
The OODA Loop in the Age of AI: Why the Orientation Gap Is Your Biggest Risk
For decades, the strategic edge belonged to leaders who could move through the Observe-Orient-Decide-Act (OODA) cycle faster than their competitors. That framework, developed by U.S. Air Force Colonel John Boyd in the 1970s, became one of the most enduring models for competitive decision-making in both military and business contexts (Boyd, 1976). The premise was straightforward: the side that cycles through observation, orientation, decision, and action most rapidly gains an
Apr 235 min read
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