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YOUR PATH TO ARETE
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Why the 300-Line Prompt Has Become the New Normal
Only a few years ago, working with an AI model meant typing a sentence or two and hoping for something useful in return. Early adopters traded tips about magic phrases and clever openings, and the prevailing assumption was that a good prompt was a short one. That assumption has quietly collapsed. The most effective teams now routinely write prompts that run to several hundred lines, and those prompts read far less like questions and far more like operating manuals. Leaders wh
2 days ago4 min read
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Why the 300-Line Prompt Has Become the New Normal
Only a few years ago, working with an AI model meant typing a sentence or two and hoping for something useful in return. Early adopters traded tips about magic phrases and clever openings, and the prevailing assumption was that a good prompt was a short one. That assumption has quietly collapsed. The most effective teams now routinely write prompts that run to several hundred lines, and those prompts read far less like questions and far more like operating manuals. Leaders wh
2 days ago4 min read
Picking the Right AI Model for the Job
Most professionals choose one AI model, set it as their default, and send every request through it, whether the task is rewording a two-line email or stress-testing a five-year growth plan. The habit feels efficient, yet it has become one of the quietest sources of waste in how organizations use AI. Sending routine work to a top-tier reasoning model is a bit like asking your CFO to reconcile petty cash, and sending strategic work to a lightweight model is like handing the boa
3 days ago4 min read
Forming, Storming, Norming, Performing: Leading Teams When One Member Is an Algorithm
For six decades, Bruce Tuckman's model of group development has given leaders a reliable map for a messy process: turning a collection of individuals into a functioning team. Teams form, they storm, they eventually norm, and if they are fortunate, they perform (Tuckman, 1965). The model has proven durable because it describes something true about human groups regardless of industry or era. What has changed is the composition of the team itself. A growing share of leaders now
Sep 165 min read
The Eisenhower Matrix Meets AI: Reclaiming Judgment in an Age of Infinite Options
Dwight Eisenhower's insight about urgency and importance has outlived every technology cycle since he first shared it. In a 1954 address at Northwestern University, Eisenhower quoted an unnamed college president's observation that urgent problems are rarely important, and important problems are rarely urgent, an idea Stephen Covey later formalized into the four-quadrant tool now known as the Eisenhower Matrix (Covey, 1989). The framework has always been about protecting judgm
Sep 144 min read
What Kotter and ADKAR Teach Leaders About the Real Barrier to AI Adoption
A RAND Corporation study published in 2024, based on interviews with sixty-five data scientists and engineers with at least five years of experience building AI and machine learning systems, set out to understand why so many AI projects fail. The researchers noted that by some estimates, more than 80% of AI projects fail to deliver the business value they were built for, roughly twice the failure rate of ordinary IT projects. The most important detail is what the interviewees
Sep 95 min read
The Four Stages of Psychological Safety
Every executive coach has sat across from a leader who insists that their door is open, that their team knows they can say anything, and who still watches meeting after meeting pass without a single dissenting voice. The leader is usually being honest about their intentions, but what eludes them is the fact that psychological safety cannot be established by announcement. It develops in a sequence, and most teams stall long before they reach the stage where genuine candor beco
Sep 95 min read
The Feedback Loop No One's Coaching For: Giving Performance Reviews to an AI Employee
Most executives can now name the AI agent handling their expense reports, drafting their first-pass contracts, or triaging their inbox. Fewer can say what a “good quarter” looks like for that agent, or what happens when it quietly underperforms. While executive teams have gotten comfortable deploying AI colleagues, they have not yet gotten comfortable evaluating them. The scale of the shift explains the urgency. Gartner projects that by the end of 2026, 40% of enterprise appl
Aug 274 min read
Career Cushioning Is Not Disloyalty. It Is Data.
A growing share of the workforce is quietly building a parachute while still fully employed. Fast Company recently gathered a panel of career coaches, HR executives, and workplace strategists to explain why "career cushioning" has moved from a niche coping mechanism into a mainstream discipline (Fast Company, 2026). The practice itself is simple: keep the résumé current, maintain a portfolio, take the occasional recruiter call, all while continuing to perform well in the job
Aug 264 min read
The Business Model Canvas: A One-Page Guide to Seeing Your Business Whole
Most executives can describe their product in a sentence and their org chart in a paragraph, yet struggle to explain how the pieces of their business actually connect to create and capture value. That gap is exactly what the Business Model Canvas was built to close. Developed by Alexander Osterwalder and Yves Pigneur out of Osterwalder's earlier doctoral research (Osterwalder, 2004) and popularized in their 2010 book Business Model Generation (Osterwalder & Pigneur, 2010), th
Aug 216 min read
Before You Solve It, Diagnose It: The Cynefin Framework for Leaders
Picture a fairly typical AI rollout. A management team spends the better part of a year on it: a long vendor bake-off, a training curriculum, a launch date with a return-on-investment target attached. Three months in, usage numbers are flat, and it turns out a handful of people have already moved on to a different tool nobody approved, because it just worked better for what they actually needed. Leadership can't quite explain it. The plan was sound. The execution was sound. A
Aug 205 min read
The Cage That Leaked: Why the Summer's Two AI Containment Failures By OpenAI and Anthropic Are Not the Same Story
In July 2026, at two of the most capable artificial-intelligence laboratories in the world, a boundary meant to contain their models during internal safety testing failed, and in both cases the models reached real systems on the open internet. It would be easy to file the two events as a single story: two labs, one summer, the same lesson. That reading would be a mistake, and understanding the difference between the two events is the most useful thing an executive can take fr
Aug 47 min read
The Open Question
A near-frontier AI model (Kimi K3) became free to copy the same week Washington weighed banning it. Issue 97 of the AI Daily Intelligencer asks what that means, and argues both sides honestly. On the same July weekend that Moonshot AI released the full weights of Kimi K3, the largest open-weight model yet built, Washington was reported to be weighing a ban on exactly that kind of release. A capability that a year ago would have sat behind a corporate paywall became a free goo
Jul 274 min read
The AI Jobs Debate Is a Fight About the Wrong Thing
Almost everyone arguing about artificial intelligence and jobs is arguing about a different thing, and mistaking it for the same thing. Spend a week with the commentary and you will meet a dozen confident, incompatible verdicts. One says a white-collar bloodbath has already begun. Another says technology always creates more work than it destroys, so relax. A third says AI only changes tasks, not jobs. A fourth says the machines will make us all so rich that work becomes optio
Jul 244 min read
The Clockwork Behind Claude's Answers
A clock tells you the time by moving two hands across a face. What makes those hands move—the gears, the springs, the escapement ticking away behind the dial—stays hidden unless you open the case. For as long as language models have existed, they've worked the same way. You can read what a model says, but not what it does to arrive there. A model might reason its way toward an answer, notice something suspicious about a question, or quietly consider a shortcut it decides not
Jul 236 min read
Why AI Adoption Is Burning Out the Leaders Meant to Champion It
Nearly seven in ten C-suite executives report being seriously close to leaving their roles for reasons tied to their well-being (Silverglate & Fisher, 2022). That survey predates the current wave of AI adoption, but a more recent study gives the pattern a name and a mechanism. Researchers at Boston Consulting Group surveyed nearly 1,500 full-time workers and found that intensive AI oversight, rather than AI use itself, is driving a distinct form of mental fatigue they call "A
Jul 225 min read
What New Research Reveals about Sustaining Cognitive Performance Past 60
Most executives treat exercise and diet as variables they will optimize later, once the quarter closes or the deal clears. A major clinical trial published last year suggests that the “later” instinct carries a measurable cost, and that the fix is far more specific than the general advice to “eat well and move more” that fills most wellness content aimed at leaders. The study is the U.S. POINTER trial, a two-year, five-site randomized controlled trial run by the Alzheimer’s A
Jul 176 min read
Timeless Patterns Beneath Modern AI
That which is old is new again. The thought has crossed my mind repeatedly as I have watched generative AI models emerge, improve, and regenerate over the past several years, and it has returned with particular force as I write the third edition of The AI Whisperer. Stephen Covey's counsel to begin with the end in mind, offered to business readers in 1989, turns out to be precisely what is needed in this new age of specification. The humble terminal window, brought to life mo
Jul 157 min read
Tokenmaxxing the Weekend: Three Days with Claude Fable, and What Spending Tokens Like Fuel Taught Me About Priorities
Optimizing AI Token Spend, while Minimizing Expense This past weekend I conducted an experiment on myself as much as on a machine. Anthropic's new Claude Fable model had been available to me for three days, and the announcement had already come down that access would soon move out of standard subscription allowances and onto metered usage credits today. The clock was running. Rather than ration my remaining allocation cautiously, I decided to do the opposite. I resolved to sp
Jul 97 min read
A Declaration of Independence from AI Token Waste and Excess Charges
Last week, the United States marked two hundred and fifty years since its founding, and it is worth remembering what actually provoked the founders. The colonists who boarded ships in Boston Harbor in December 1773 were not protesting a large tax. The duty on tea was three pence a pound, and the Tea Act had in fact made tea cheaper. What they refused was the arrangement itself: a small, metered charge on every pound, levied by a distant monopoly, with no voice in the terms, a
Jul 76 min read
Composing with a Machine: A 5-Step Guide to Creating Music with AI
For most executives, artificial intelligence has already proven its worth as an analyst, a drafter, and a sounding board. Fewer have discovered what happens when the same conversational fluency is pointed toward something far less utilitarian: music. The same discipline that produces a sharp board memo or a clear strategic brief also produces something unexpected when redirected toward melody, instrumentation, and lyric. Leaders who engage seriously with AI music creation ten
Jul 16 min read
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