Conversations for people who suspect the obvious answer is missing something.

ABOUT THIS CONVERSATION

Early in a career, being good at something opens doors. We learn, prove ourselves, and accumulate an increasingly impressive list of things we can do. The problem is that the world notices. Employers hire those capabilities, organizations reward them, and the opportunities that arrive start to resemble our past successes. Eventually capable people find themselves succeeding in a direction they no longer want. We get into why professional success and personal fit slowly diverge, and why “What else can I do?” is the wrong first question.

LISTENERS WILL LEAVE WITH

• A working distinction between burnout, which is about depletion, and misalignment, which is about direction
• Why changing employers so often reproduces the same job under a new logo
• A reason to delay the reinvent-everything decision until you know which part is actually broken

QUESTIONS WE COULD EXPLORE

1. How can being good at something become a problem?
2. Why are successful people particularly vulnerable to getting stuck?
3. How do you tell burnout apart from misalignment?
4. Why does switching companies so often recreate the same career?
5. What happens when your strongest skill is work you no longer want to do?
6. Where do you start if you know what you want to leave but not what you want instead?

Ideas we might get into: Can vs. Should · Energy, Purpose, Strengths · accumulated proof · same valley, different scenery · away clarity vs. toward clarity

ABOUT THIS CONVERSATION

Other people can see a résumé, credentials, accomplishments, and demonstrated strengths. What they cannot observe is what consistently gives someone energy, what matters enough to sustain effort, or the pattern underneath the moments when they were most engaged. So advice predictably points in two directions: toward more of what we have already proven, or toward whatever worked for the person giving it. We get into why better direction starts with information the outside world cannot supply.

LISTENERS WILL LEAVE WITH

• Why well-meaning advice from mentors is structurally biased toward your past
• The difference between a list of strengths and actual self-knowledge
• How to read energy as evidence, and why it comes before purpose and strengths rather than after

QUESTIONS WE COULD EXPLORE

1. Why are mentors often bad at telling us what to do next?
2. What career information exists only inside the individual?
3. Why start with energy instead of strengths?
4. What is a Source Code?
5. How do you find a pattern across experiences that look unrelated?
6. If nobody else can hand us the answer, what can useful career advice actually do?

Ideas we might get into: Source Code · Energy → Purpose → Strengths · macaroni moments · internal vs. external data · proof

ABOUT THIS CONVERSATION

Experience is supposed to create freedom, and it does: more skills, more credibility, better networks, more money, more possible paths. But the list of things we can do grows much faster than our understanding of what we should do. At the same time, experience installs blinders, so we are more likely to notice opportunities that resemble what we have already done. We get into the strange mid-career combination of having more available choices while imagining a narrower set of possibilities.

LISTENERS WILL LEAVE WITH

• Why optionality and direction are different things, and why collecting one does not produce the other
• How experience narrows the set of options a person can even perceive
• A way to decide between two choices that are both objectively good

QUESTIONS WE COULD EXPLORE

1. Why do career decisions get harder as we gain experience?
2. How does experience expand options and create blinders at the same time?
3. Why isn’t “keep your options open” always useful advice?
4. What is the difference between optionality and direction?
5. How do we decide when several choices are genuinely good?
6. What should replace the question “What could I do next?”

Ideas we might get into: Can vs. Should · the jam table · blinders · proof · context · path dependence

ABOUT THIS CONVERSATION

We love stories where persistence eventually produces success. The company nearly fails, the founder refuses to quit, and ten years later everyone concludes that perseverance wins. But what happens if we stop before the redemption arc? Drawing on a startup I co-founded and eventually had to close, we get into how outcomes distort judgment, why good decisions fail, why bad decisions sometimes work, and what failure teaches when we resist the urge to turn it into inspiration.

LISTENERS WILL LEAVE WITH

• How to separate the quality of a decision from the quality of its outcome
• Why survivorship bias makes most business advice unusable
• What makes quitting a legitimate strategic choice rather than a character flaw

QUESTIONS WE COULD EXPLORE

1. What is wrong with the standard inspirational success story?
2. How do you separate decision quality from outcome quality?
3. When does perseverance stop being admirable?
4. Why don’t entrepreneurship courses spend more time on how to stop?
5. What did your failed startup actually teach you?
6. How do we analyze failure without romanticizing it?

Ideas we might get into: resulting · survivorship bias · quitting vs. grit · sunk costs · deepest red · recoverability

ABOUT THIS CONVERSATION

Résumés are excellent at documenting demonstrated capability, which is exactly their limitation. They say little about what gives someone energy, what they care about, or why seemingly unrelated experiences may represent the same underlying kind of work. Yet recruiters, managers, mentors, and often we ourselves use that backward-looking evidence to decide what comes next.

LISTENERS WILL LEAVE WITH

• What a résumé is genuinely good at, and the specific thing it cannot encode
• Why hiring systems are built to recognize repetition rather than fit
• How a career changer can use their history without being defined by it

QUESTIONS WE COULD EXPLORE

1. What does a résumé tell us well, and what can’t it tell us?
2. Why do recruiters naturally steer people toward more of the same?
3. Are strengths really the most important part of career fit?
4. How can someone communicate a pattern that runs across very different jobs?
5. How should career changers use their past without letting it define their future?

Ideas we might get into: proof · plywood · Source Code · translation · professional identity

ABOUT THIS CONVERSATION

FIRE is extremely good at answering a mathematical question: how much financial independence can you accumulate? The more interesting question is what you will do with it. Savings buy something far more immediate than retirement, which is the ability to try something, build a new skill, or make a decision that fails without turning it into catastrophe. But people who get excellent at accumulating optionality often become reluctant to spend any of it.

LISTENERS WILL LEAVE WITH

• Recoverability as a distinct concept from risk tolerance, and why it is the more useful one
• How to estimate the runway a career experiment actually requires
• Why the habit that builds financial independence can prevent you from using it

QUESTIONS WE COULD EXPLORE

1. What does FIRE get right, and what does it miss?
2. What do you mean when you say money buys the ability to be wrong?
3. Why is recoverability different from risk tolerance?
4. Can we get too good at accumulating optionality and bad at using it?
5. How much financial certainty should someone demand before changing careers?
6. When does saving for freedom become another way of postponing it?

Ideas we might get into: FEET · recoverability · coins and extra lives · Coast and Barista FIRE · money as means vs. scoreboard

For finance shows, this also runs as You Reached Financial Independence. What Did You Actually Buy?

ABOUT THIS CONVERSATION

People pursue entrepreneurship because they want freedom from bosses, bureaucracy, politics, or corporate constraint. But a business creates its own set of jobs: sales, operations, finance, marketing, hiring, customer service, and management. We get into the difference between freedom from and freedom to, and why the critical question is not “Do I want to own a business?” but “What work am I actually committing to do?”

LISTENERS WILL LEAVE WITH

• The distinction between freedom from obligations and freedom to make choices, and the price of each
• The hidden jobs bundled into ownership that nobody puts in the pitch deck
• A way to evaluate a business model against who you are rather than against abstract autonomy

QUESTIONS WE COULD EXPLORE

1. Why isn’t wanting independence enough reason to start a business?
2. What is the difference between freedom from and freedom to?
3. What do you mean when you ask a founder what color Star Trek shirt they are?
4. How should founders decide what to do themselves and what to delegate?
5. Can entrepreneurship actually reduce freedom?

Ideas we might get into: freedom from / freedom to · cost continuum · shirt colors · owning the plywood

ABOUT THIS CONVERSATION

We define career fit through visible context: title, employer, industry, compensation, location, manager. All of it can change quickly. Long-term adaptability requires understanding something more durable underneath: the kinds of problems that energize us, the value we want to create, and the flexible strengths we express it through. This is deliberately not “disruption is good.” It is “disruption exposes whether your identity was portable.”

LISTENERS WILL LEAVE WITH

• Which parts of a professional identity are durable and which are borrowed from an employer
• The difference between transferable skills and transferable fit
• What to build before a disruption arrives, rather than during the week after one

QUESTIONS WE COULD EXPLORE

1. What parts of a career identity are actually durable?
2. Why is a job title a dangerous way to define yourself?
3. What should someone understand about themselves before disruption arrives?
4. How does self-knowledge create an advantage after a layoff or an industry shift?
5. What is the difference between transferable skills and transferable fit?
6. What should AI change about how we think about career resilience?

Ideas we might get into: armor vs. Source Code · context · exploit, expand, explore · the wardrobe problem

ABOUT THIS CONVERSATION

Most of the AI-and-management conversation asks which managerial tasks machines can absorb. The more interesting question is what becomes more important afterward. People remain uneven bundles of strengths, gaps, ambitions, and energy patterns, while jobs remain uneven bundles of work. Managers create value by building the bridge between them, and by resisting the assumption that advancement means turning every excellent individual contributor into a manager.

LISTENERS WILL LEAVE WITH

• What shifts from a manager’s task list to a manager’s judgment as AI absorbs routine work
• Why promoting the best technical performer is a structural error, not a personnel one
• How understanding an individual’s energy patterns changes retention and development

QUESTIONS WE COULD EXPLORE

1. What becomes more valuable for managers as AI improves?
2. Why do organizations still promote great technical performers into management?
3. What does the plywood metaphor explain about talent?
4. Should managers help employees understand themselves?
5. Why isn’t career development the same thing as promotion?
6. Does AI make managers less important, or change what good management means?

Ideas we might get into: plywood · the Peter Principle · the Four Apps · aligned growth

This one previews my second book, The Pineapple Manager.