Arrival Fallacy

The finish line. The summit. The big goal. 

What happens when you get there?

We see it publicly in pro sports and entrepreneurs who make it big. You did it, now what? 

But it’s not just them. It’s you and me also. We’re all going somewhere. We’re all going to arrive. Many will arrive at the destination they’ve been working toward. 

It’s not really about the arrival. 

It’s the daily motion. The effort. The people. The practice. The identity we shape, not the title we wear.

The win is just a moment. The becoming is the legacy.

Once we realize the destination isn’t the point, we can stop waiting to get there and start living here.

The Ghost in the Machine

[Directly from Seth Godin’s The Ghost in the Machine]

When a system becomes complex and our knowledge peters out, we’re tempted to assert, in the words of Gilbert Ryle, that there’s a ‘ghost in the machine.’

“How does the stoplight work?” “Well, it knows that there’s a break in the traffic so it switches from green to red.”

Actually, it doesn’t ‘know’ anything.

Professionals can answer questions about how. All the way down.

I’m that professional. I can answer those questions. All the way down.

The Ghost in the Machine, in the case of the stoplight, is an “embedded system.” 

What’s an embedded system? 

They are the tiny, hidden computers everywhere in our world today — your pocket, car, house, and yes, inside the traffic light. In modern Western culture, we come into contact with hundreds, if not thousands, every day. 

The brain of an embedded system is a microcontroller, and the microcontroller plus its human-generated software is special-purpose and usually single-purpose. The ghost in the traffic light only does one thing, as does the ghost in your microwave, your car’s airbags, the airliner’s engine throttle, and the lightbulb that turns on when you tell Alexa you’re home. 

For most of our history, the ghosts in our machines were quite deterministic. Programmed with a decision tree. Single-purpose. If this, then that. 

Now our ghosts are becoming AI-informed. The Small Language Model, if not the Large Language Model, is making its way into your devices. Following its incentives. Learning your patterns and preferences. Making decisions. 

The ghosts are learning. 

The Curtain

You’re backstage. 

You can hear the murmur of the crowd on the other side. The crew bustles around you. Excitement fills the air. But the curtain is down. There’s no risk yet. There’s anticipation, but that’s all so far. 

You know your lines. You’ve rehearsed. You’re confident in what you can do. You’ve done the work, and you have the skills. You know the audience has paid a fair price. 

But your heart doesn’t care about any of that.

Your mouth is dry. Your hands tingle. Your heart is suddenly a percussionist with something to prove.

When the curtain rises, it could go either way. The standing ovation and the audience satisfied. Or they won’t care, didn’t get it, and think they paid too much. 

And that’s what makes it real.

Because if it were certain, it wouldn’t be worth doing. If it were easy, it wouldn’t matter. That mix of hope and fear — of maybe and maybe not — is the cost of doing something that matters.

You don’t get to skip this moment. You shouldn’t skip this moment.

So you breathe.

You take that step forward and put a smile on your face. 

The curtain rises.

Chasing the Hose

When a fire hose — sometimes even a garden hose — gets loose, look out.

It whips, spins, jumps, and makes a mess. It’s erratic. Even a little dangerous. It certainly doesn’t behave the way you want it to.

If you try chasing the end, you’ll never gain control and maybe even get bruised. Just when you think you’ve got it, or know where it’s going, it darts out of the way and leaves you a soaking mess.

Better to find its source and grab it there. It’s steady there. Get your feet solidly underneath you and walk it out toward the end. Slow and steady. Breathe. Focus on the outcome. 

Guide it to where you want to end up.

Because no one tames a hose by chasing the end. 

Jarring the User

Have you ever reached for the hot water knob on a sink and either the handle turns the wrong way, or the cold and hot water knobs are backward?

It’s jarring.  

First, you freeze. Confused. It takes you a blip to get your bearing. You might even, just for a second, question yourself, “Am I doing this right?”

Then, you figure it out. Because it’s an easy problem to solve. Oh, turn the knob the other way. Or, the hot water must be on the right side. And, “No, I’m not doing it wrong. This thing is wrong.”

Is it wrong? What makes us think it’s wrong? What gives us the expectation of how it should work?

Intuition, of course. Built up through years of using sinks that conform to the US Plumbing standard of how a sink and its knobs should work. That standard has a whole history behind it that seeks to accommodate right-handed people. 

Sinks that don’t conform to this standard won’t land the plumber in jail, nor will some enforcement agency confiscate the contraband sink. 

But it’s jarring for the user.

If you’re making something for someone else, is that what you want? Possibly. That might be exactly what you’re going for. You need them to think differently or feel something.

But if not, the Law of Least Surprise is your friend. 

Know your user. Know how you want them to feel.

[P.S. I have a sink in my house on which the cold water knob spins backwards. After 23 years, it’s still jarring. I still spin it the wrong way every time. Every time. Why haven’t I changed it?]

Leading Like a Light Wave/Particle

Scientists have reconfirmed one of the most famous and vexing theories in physics — light is both a wave and a particle.

Which is it when? That depends on whether it’s being observed or not. 

If you measure it, it’s a particle. Precise and localized. Unobserved, it’s a wave. Fluid, adaptable, interfering with itself.

Effective leaders share this dual nature.

They’re decisive and clear when the team requires structure and certainty. They’re reflective and fluid when creativity and exploration are needed.

Great leaders recognize when to be each and can switch back and forth. 

Effective leadership isn’t about choosing a side. It’s observing, taking the pulse, and knowing the desired outcome. Tension isn’t a threat. It’s a signal. 

Which does your team need right now? 

The Town Water System Problem

Your town decides to build a centralized water system.

It helps many in the community. It’s more efficient. It provides standardized quality and access to that quality for more people. The generated revenue lessens individuals’ tax burden. 

But, you have a well, and it works fine. Water’s clean. Tastes great. You maintain it. Cheap. No need to change anything.

Now you’re being asked to pay for installation and then monthly for access to something that you think is probably worse than you currently have.

You didn’t ask for it. You don’t need it. 

That is the conundrum of the individual versus the collective and the present versus the future. The new system may not serve you better, at least not right now. 

But what about tomorrow, or five years from now? And what about your neighbor? 

Knowing Your Advantage (Centralized vs Distributed)

When you’re a centralized system, here are some of your advantages:

  • Speed – You can make decisions and engage machines or people quickly
  • Efficiency – You can spread and use resources with little waste
  • Communication – You can create a speedy and efficient communication system
  • Control – You set the standards, enforce consistency, and lead with impunity
  • Security – You can monitor and guard your systems more easily

When you’re a distributed system, here are some of your advantages:

  • Resilience – You can easily ensure no single point of failure
  • Self-sufficiency – Each part can operate independently, adapt locally, and take initiative
  • Scalability – You can grow organically, node by node, without a total overhaul
  • Flexibility – You can respond differently in different regions or contexts
  • Innovation – You can empower the constituents 

Coming to the table knowing your advantage is, in itself, an advantage. 

Knowing Your Advantage (Startups vs Enterprise)

When you’re a startup, here are some of your advantages:

  • Flexibility – You can say “yes” or “no” to anything
  • Decision-making – You can decide for yourself 
  • Speed – You can start, stop, finish, or change at any time
  • Attention – You can be razor-focused on whomever you want
  • Creativity – You have no box or boundaries
  • Upside – The upside is all yours

When you’re a multibillion-dollar enterprise, here are some of your advantages:

  • Budget – You can afford capacity, technology, teams, and systems
  • Access – You can access capacity, technology, teams, and systems
  • Systems – You can create, acquire, use, and polish systems
  • Risk – You can spread your risk
  • Emotions – You can flatten out the emotional rollercoaster
  • Downside – You can significantly reduce the downside

Coming to the table knowing your advantage is, in itself, an advantage. 

You Can’t Design for the Real 100-Year Flood

The 100-year flood, or for that matter, the 1000-year flood isn’t a real thing. 

It’s a set of statistical values used for engineering, insurance, and planning purposes. The engineers who design the burms, drainage, and pumps need a target. The actuaries need a target to price insurance policies. Community leaders need a target to put systems and policies in place. 

It’s a model, and nature doesn’t have to follow the model’s rules. 

Models are helpful for thinking through possibilities. For our business. For our retirement. For our health. 

But the real 100-year flood doesn’t know what year it is. It doesn’t know where it’s supposed to dump its water. It doesn’t know how much water. It doesn’t know which path it’s supposed to take. 

Plan all you want. And you should. But make room for chaos. Because it’s coming. 

The ones who thrive aren’t the ones whose model was better. They’re the ones who figured out how to float when the levee broke.

Resilience, Flexibility, and The Future

Do you know what your future looks like?

Have you planned it out? Do you know what you’ll be doing, where you’ll be living, and who you’ll be with? Can you picture it? 

You need a strategy, and I hope it works out.

But what if it doesn’t? 

What if there’s medical stuff? What if you miss on your market assumptions? What if your product doesn’t resonate? What if the kids move away? What if you have a financial inflection? What if you change your mind? What if the system changes? What if the world changes? 

All we know is today and history, but something, probably many things, will not look tomorrow like they do today or did last year.

Crazy will get crazier. The “can’t happen” will happen. The “never thought about” will become the focus.

However, there’s a solution — resilience and flexibility. Design resilience into your plans and foster mental and emotional flexibility. 

It’s simple, if not easy, to combat the unknown future with resilience and flexibility. Here are some ideas. 

For resilience: 

  • Assume it will break
  • Create margin, checks, guardrails, and failsafes
  • Abstract the interface from the implementation 
  • Have backups
  • Have a plan B, C, D (burn the ships is romantically overrated)
  • Watch what they do. Modify accordingly. 
  • Invest in a network

For flexibility:

  • Allow yourself to decide later
  • Play devil’s advocate
  • Instead of “What will happen?” try “What else could happen?”
  • Follow your curiosity
  • Challenge and reconfirm, or change, beliefs
  • Practice discomfort
  • Daydream about the what-if (not all the time, but occasionally)
  • Give yourself grace for past failures and poor decisions. The lesson learned should rarely be “I’ll never do that again.” Rather, it should usually be “This is what I’ll do different next time.” There are some important exceptions, of course. 

Preparing for the future isn’t about being right. It’s about being able to respond when you’re wrong. 

Front Door, Back Door, Third Door

Rule-followers (I’m one) take heed.

Paraphrased from The Third Door, by Alex Banayan.

  • Front Door: This is the main entrance for the ticket buyers. The people who follow the rules to see the show. It’s where 99 percent of the people wait in line, hoping to get in.
  • Back Door: This is the door for the people who have an “in”. Maybe they know somebody who can let them in, or introduce them to the right person. 
  • Third Door: This is the door that the truly successful person creates — out of thin air. It’s created by sheer force of will, effort, and creativity. It’s the entrance where you have to jump out of line, run down the alley, bang on the door a hundred times, crack open the window, and sneak through the kitchen.

People matter. Connections matter. Relationships matter. 

Creativity matters. Grit matters. Force of will matters. 

The rules don’t matter as much as you think they do. What the paper says doesn’t matter as much as you think it does. The sign on the front door doesn’t matter as much as you think it does.

If you can get in through the back door, do it. That’s a great way to get in. 

If you can’t get in the back, find the third door. It’s often the best door.

Nobody Reads Your Documentation

True for engineering deliveries. True for contracts. True for the rock band’s rider. True for packaging. True for the smart home water sensor you just ordered on Amazon.

There are exceptions, of course, but should you rely on the exception?

Nobody reads your documentation. 

Plan accordingly. 

Building Resilience

Childhood is the perfect time to teach and build resilience. It’s much harder as an adult. Maybe impossible.  

Resilience stems from emotional and physical recovery, as well as the confidence to overcome the challenges they face. 

Here are some things you can do to help your kids build resilience:

  • Enroll them in baseball or softball. 
  • Let them get the zero on the forgotten homework assignment.
  • Have them discuss the zero or failed test with the teacher themselves.
  • Don’t confuse embarrassment with bullying
  • Give accurate, if empathic, feedback. If you don’t like it, it’s OK for them to know. 
  • Encourage them to explore their curiosity.
  • Allow them to walk on the curb, climb the monkey bars, and play hockey in the street. 
  • Allow them to talk to strangers. 
  • If they don’t feel good, but want to continue, maybe let them. 
  • Encourage them to play with others.
  • Argue with them. Respectfully, of course. 
  • Fail in front of them (sometimes). 
  • Don’t get involved.
  • Sometimes, “Because I said so” is the perfect answer. 
  • Let them figure it out.

Life is full of disappointment, failure, and challenges. Let’s help kids build the skills to handle it.

The Difference Between Engineering and Marketing

My friend, one of the best engineers I’ve ever known, has a saying about how we should do good engineering:

“Requirements first, then principles, then feelings.”

This clearly and helpfully lays out the hierarchy of how we go about our engineering work individually and collectively. 

Requirements are the objective north star. Does it do what we’ve been asked to make it do? Requirements are worth arguing about to come to a consensus. They rule the decisions we make. 

When we lack a specific requirement, we rely on our engineering principles. The principles in play are worth discussing and arguing about, but consensus isn’t necessary. What should it do in this situation? What’s the “right way” to do this? 

Feelings are not only third, but the gap between principles and feelings is a chasm. We’re here to make this thing according to the provided requirements. In cases where we need to derive a requirement, we rely on solid engineering principles. Your feelings are irrelevant. 

Let’s contrast that with good product marketing.

It’s exactly the opposite. 

First, feelings. Then principles, and finally requirements. 

What’s the story around the product? How do we want our users to feel? What problem do they care about? 

What kind of person would use our product? What do they care about? What tribes do they belong to? What status do they want to achieve?

What are they trying to accomplish? Why would they use it? 

The engineer tries to build the thing right.
The marketer ensures it’s the right thing.

You need both. In tension. In conversation. With respect.

Because in the end, no one buys specs. They buy the story the specs create.

Choosing Like a Professional

When you show up at a well-stocked drum shop to buy a cymbal, you’ll have hundreds to choose from. 

One method is to just start hitting them. Grab a stick, start at the beginning, and smack each one.  

Although maybe fun for a few minutes, this method will take you the longest, and ultimately won’t yield what you’re looking for. After a few dozen, they don’t all sound the same, but your ear will be tired and you won’t be able to remember what sound you came in hoping to achieve.

Plus, you’ll mark yourself as a complete amateur, and you’ll annoy everybody else in that store. If you need any help from someone, well…

Another method is to know what type of cymbal you want when you walk in. A crash cymbal. Okay, now you’ve narrowed the selection down to around 100. 

Better yet, an 18” crash cymbal with a dark overtone to complement the 16” bright crash you already have. 

Now you’re down to 15-20. 

If you’ve really done your homework, you’ll know the one or two from each manufacturer that might be the one you want. 

Now you’ve got less than 10 to choose from. 

What’s your budget? Is there a specific look you’re aiming for? Do you favor or dislike one of the manufacturers? 

A professional walks into the drum store and hits 5 cymbals and walks out with the one he was looking for. 

The pro always brings a compass. 

The Trust Catch-22

As a startup company, 4TLAS always has one hurdle to cross — trust.

We’ve had to answer various versions of the following question in conversations with every potential customer:

“What happens [to us] if you go out of business?”

I get it. I don’t blame them. I’d be asking the same questions. I have asked the same questions of potential partners in the past. 

It’s a catch-22. 

Because, of course, the answer is “if you work with us, that’s one more brick in our foundation that will assure that never happens.”

We can’t build the trust without those bricks, and we can’t lay those bricks without having our customers trust us.

So we show up. We look them in the eye. We stay transparent. We delight. We say “yes” and “no” appropriately. We solve real problems with real urgency. We put contingency plans in our contracts for our customers’ benefits. 

We don’t use sleight-of-hand. We don’t put small print in the Terms of Service. We never overpromise and underdeliver. 

We do the things we can to build that trust. One brick at a time.

That’s how you build something unshakable — one brick at a time. 

Who Moved My Cheese?

I use Grammarly to write my articles. 

Today, I open it up and bang! Wholesale changed the interface overnight. Doesn’t look anything like it did yesterday. Totally different. 

No warning. No easing into it. Just opened up the app, and there it was. New, unfamiliar, and, frankly, irritating.

They moved my cheese

When someone moves your cheese, the first thing you notice isn’t the new layout, features, or promises of improvement. What you notice is your frustration. The interruption. The feeling that someone messed with your stuff.

Your cheese was right here, and now it’s over there. And it’s not just a small adjustment. It’s a whole new cheese map.

Maybe Grammarly did this to make things better. Maybe the interface is genuinely smarter, faster, and more intuitive. Maybe in a month I’ll wonder how I ever lived without it.

But today, I’m grumbling. Because change, even good change, is rarely comfortable.

I have a choice: Spend my energy wishing they moved my cheese back, or spend it adapting to the new location. 

Adaptation isn’t about the cheese. It’s about us. It’s about how quickly we can get from frustration to acceptance. From disruption to productivity. From resistance to resilience.

Maybe the cheese needed moving.

And maybe it’s me who needs to adjust.

Amazing to Stupid to Everyday

On December 17, 1903, my favorite inventors/engineers/innovators, Orville and Wilbur Wright, achieved sustained heavier-than-air, self-powered flight.

The airplane was amazing. 

They made four flights that day:

  1. First flight: Orville flew 120 feet in 12 seconds.
  2. Second flight: Wilbur flew 175 feet.
  3. Third flight: Orville flew 200 feet.
  4. Fourth flight: Wilbur flew 852 feet in 59 seconds.

By the end of the day, they had flown a total of less than five football fields and two minutes, and the machine lay in ruins at the end of its last run. 

Nobody needs to fly down the block. Nobody wants to fly in a machine that requires a rigorous knowledge of physics to operate and a complete mechanical overhaul each flight. Nobody wants to fly in a machine that will probably kill them.

The airplane was stupid.

So Orville and Wilbur dug in. Over the next two years, they turned 120 feet in 12 seconds into a twenty-mile-circling machine that could land, change riders, and take off again right away from a rather pedestrian farm field.

And from there, industry turned the airplane into an everyday part of our world. We just use it. The same was true for the automobile, electricity, computers, and the internet. Each went through the same three phases. 

We’re currently in the stupid phase for AI.

Guess what’s coming? 

Will you know how to use AI, or will AI be using you? 

Energy and Mechanics

I had a naive approach when I first trained for triathlons (all in my past now). 

I assumed training for swimming, biking, and running was about getting my body able to exert the most energy for a long time. Therefore, training was all about time and intensity. More, more, more. 

Wrong. 

It’s really about wasting the least amount of energy over the three legs, and you do that through getting better mechanics.

Swim mechanics — least resistance, most economical power stroke.
Bike mechanics — smooth cadence, proper gear selection, proper bike setup.
Run mechanics — Posture, stride, rhythm. 

Winning a triathlon isn’t necessarily about who can keep the highest heart rate for the longest time. It’s who can go the fastest with the lowest heart rate.

Mechanics.

If you’re stuck, not getting to where you want to be, or frustrated, maybe it’s time to look at how you’re doing it, rather than simply what it is.

Is AI Really Replacing You?

Not a chance (unless you let it).

AI can write song lyrics because it knows statistically how to put words together. 

AI can write software because it knows statistically how to put words (syntax) together.

But AI has no purpose. It has no meaning. It has no desire (other than incentives we give it). It has no responsibility. It has no will. It doesn’t decide a problem needs a solution. It doesn’t care about risk. It doesn’t care about judgment. It doesn’t care about status. It doesn’t get tired, or excited, or nostalgic. 

AI has helped me be more productive, but at a very personal level, and marginally. Me with a power saw instead of a hand saw. Not at an organizational level. 

As the leader of a startup, I’ve been trying over the last year to figure out how AI can help me in the areas in which I’m deficient. I’m open. I’m a good guinea pig. I’d really like it to. 

Bottom line is it hasn’t helped me replace anything wholesale yet. Not really. Maybe it won’t, either. It has helped me do some things with words and research. Like the power saw gets me through the wood faster. But is it better?

AI isn’t gonna take over the world. It’s not gonna kill us all for its own benefit. It’s not gonna replace you or me. 

Unless, of course, you let it. 

But that’s no different than letting the younger and hungrier colleague replace you. 

ChatGPT Prompts: Human Advantages in Lyrics and Software

Prompt: Dig into the advantages that a person has over AI when it comes to writing song lyrics and software.

[Written entirely by ChatGPT]

Human Advantages over AI in Lyrics & Software

  1. Authentic Experience — You write from memory, emotion, life’s twists. AI stitches patterns—it can’t relive your heartbreak or triumph.
  2. Purpose-Driven Intent — You choose themes with meaning. You rally listeners or users around a vision. AI justfollows prompts.
  3. Emotional Nuance — You feel subtle shifts—hope, doubt, pride—and infuse them into every line or function. AI approximates feeling by data.
  4. Ethical Judgment — You weigh privacy, bias, and moral impact in code or words. AI can’t grasp consequences beyond its training.
  5. Creative Risk — You embrace messy first drafts and wild ideas. AI optimizes for “likely next”—it won’t break rules to find breakthroughs.
  6. Contextual Mastery — You know your audience, your team, your product roadmap, and local culture. AI sees isolated examples, not real ecosystems.
  7. Iterative Learning — You adapt from feedback, mistakes, and live performance. AI only improves when retrained in bulk.
  8. Ownership & Accountability — You stand by your work. You debug, you update, you refine. AI generates and moves on—no stakes.
  9. Human Connection — Your lyrics stir hearts; your software solves real problems and builds trust. AI can’t share a laugh or a lived moment.

Leverage AI for drafts and boilerplate—then lead with your human edge.

ChatGPT Prompts: AI Versus You Writing Software

Prompt: Dig into the philosophical differences between you writing software and a person writing software

[Written entirely by ChatGPT]

  1. Conscious Intent vs. Pattern Execution
    • AI: Follows statistical patterns. It “writes” code by predicting what’s likely next.
    • You: Start with purpose. You choose problems. You set goals. You decide why a feature matters.
  2. Ownership of Vision
    • AI: Lacks long-range vision. It doesn’t care about product roadmap or company mission.
    • You: Shape the future. You align code with strategy, ethics, and market need. You steer the ship.
  3. Moral and Ethical Judgment
    • AI: Blind to nuance. It can’t weigh privacy against convenience, fairness against speed.
    • You: Ask hard questions. “Who benefits? Who pays?” You arbitrate trade-offs that code alone can’t resolve.
  4. Contextual Awareness
    • AI: Sees isolated prompts. It can’t perceive team dynamics, legacy debt, or customer pain points that aren’t spelled out.
    • You: Live the context. You know the messy reality: last week’s outage, that VIP client, the unpaid intern’s struggle.
  5. Creative Framing
    • AI: Recombines what’s seen. It struggles to reframe problems in novel ways.
    • You: Rethink the problem. You ask, “What if we turned it upside down?” You invent new paradigms.
  6. Iterative Learning
    • AI: Improves only when retrained. It doesn’t learn from your retrospectives or post-mortems in real time.
    • You: Adapt on the fly. You debug live systems, absorb lessons from failures, and evolve practices continuously.
  7. Accountability and Trust
    • AI: Throws generic suggestions. It bears no responsibility when things break.
    • You: Sign off on every commit. You own the regressions, the bugs, and the late-night patches. Trust follows your back.
  8. Human Collaboration
    • AI: Doesn’t attend stand-ups or career-coach juniors.
    • You: Mentor, debate, negotiate. You build culture. You transform individuals and teams.
  9. Emotional Resonance
    • AI: Generates “optimal” code. It can’t sense frustration on a user’s face or pride in a teammate’s eyes.
    • You: Feel the stakes. You push through fatigue because someone’s livelihood depends on your release.
  10. Purpose and Meaning
  • AI: Solves prompts.
  • You: Write code that matters. You shape experiences, empower people, and leave a legacy.

Lean into these human strengths. Use AI as a drafting tool. But keep your heart, your judgment, and your conscience at the core of every line you write.

ChatGPT Prompts: AI Versus You Writing Song Lyrics

Prompt: Dig into the philosophical differences between you writing song lyrics and a person writing lyrics.

[Written entirely by ChatGPT]

1. Origin of Ideas

  • AI pulls from patterns. It analyzes thousands of lyrics. It mixes styles.
  • You draw from lived moments. A broken heart. A backroads sunset. A fight with a friend.

2. Emotional Grounding

  • AI simulates feeling. It knows “sad,” “angry,” “hopeful” by data.
  • You feel it in real time. Your pulse races. Your hands shake. That energy bleeds into words.

3. Intentionality and Purpose

  • AI follows your instructions. “Write heavy country rock.” It executes.
  • You bring mission. A message you must deliver. A truth you can’t ignore.

4. Authenticity and Voice

  • AI crafts a convincing voice. But it’s a collage.
  • You have fingerprints on every line. Your accent. Your slang. Your scars.

5. Ownership and Transformation

  • AI output is public domain. Anyone can tweak it.
  • You own your story. You carry it forward. You reshape it with every performance.

6. Growth and Feedback

  • AI learns when retrained. It evolves through code updates.
  • You grow through practice. Through sweat and failed gigs. Through applause and silence.

7. The Spark of Creation

  • AI ignites on command. It never waits, never doubts.
  • You wrestle with doubt. You wrestle with self. And when the spark comes, it lights you up from inside.

In practice, blend both. Let AI spit out riffs. Then you pour in the soul. You carve away the generic. You revive it with your scars. That’s where true art lives.

The Qualification Ruse

Grades. Degrees. Titles. Certifications.

These are the systemic qualifications. But they don’t tell the whole story.

I’ve met straight-A students who couldn’t hold a conversation. I’ve worked with PhDs in engineering who couldn’t design, build, or debug their way out of a paper bag. I’ve worked for leaders who couldn’t lead their family on a vacation. I’ve hired ISO-9000-certified firms that couldn’t deliver a sandwich, let alone quality engineering.

Sometimes, and in some genres, it’s all we got. You may have to play the systemic qualification game.

However, if you want to make an impact, or hire someone who will make an impact, here’s what you’re really looking for:

Competence. Competence is skill, and skill isn’t the same as talent. Developing a skill simply requires a choice and then the work to get better.

Adultiness. Show up. Call back when you say you’ll call back. Deliver when you say you’ll deliver, or be up front when you can’t. Respect your coworkers, their ideas, and their perspectives. Take it on rather than pushing it off — get on the hook.

Curiosity. Be curious and follow it. Curiosity never killed anything. Rather, it’s the engine that leads to innovation.

Becoming. You might not be it now, but you can be. We’re all becoming something. Become who you need to be on purpose.

These are all choices that you can make.

In whatever line of work you’re moving through, the system may demand its formal qualifications.

But don’t substitute systemic qualifications for real qualifications.

What’s in a Title?

When you work for yourself, you can give yourself whatever professional title you want.

So why take conformist or boring titles like CEO, lead engineer, or machinist?

If you want to be the “Curator of Human-Centered Synergies” or the “Chief Evangelist of Synergistic Paradigms,” no problem. Even “Mindful Experience Architect” might be the one.

However, you’d better know your audience, because that title is the first they see in your professional bio.

If you’re selling vision and vibe, then sure, make your title sing. But if you’re building trust, shipping product, or solving gritty problems, your audience might be looking for something a little more boring, yet understandable.

The point is to remember the purpose. Titles are shorthand. A signal. A pitch in a single phrase.

What are you signaling?

Guardrails, Not Chains

Have you ever worked for a micromanager?

Gives you the task list for the day. Gives you the timeline for the day. Gives you the “how” it should be done. Repeatedly checks. A daily dashboard full of KPI’s, metrics, and graphs.

Chains you to your workstation.

“Check with me.”

This is the industrial way. People as machines.

But we live in a post-industrial world. The post-industrial world doesn’t reward people as machines. It rewards people who use machines.

The teams that win combine creativity, curiosity, and humanness with the ability to deliver. They know the destintation, and they figure it out.

The best leaders of today encourage it. They don’t obsess over control. They build trust.

When you treat them like builders, they’ll create more than you imagined.

Not with chains. With guardrails.

Does AI Have Rights?

“‘ More human than human’ is our motto.”

  • Rachael, Blade Runner

And now here we are. Or are we?

We recognize, both philosophically and legally, that biological entities should have rights. People, animals, Mother Nature, and various collections of such. Of course, we argue about what rights we’re talking about and exactly where that line is.

But we don’t argue about whether rights are fundamental.

So now, or soon, we have machines that perform tasks, learn, listen, and argue. 

Is it imitation or something else?

SciFi’s been exploring this for a long time. The endings aren’t usually hopeful because it’s messy. 

What does biology bring to the table that mechanics doesn’t? 

What are rights based on? Performance? Abilities? Sentience? Responsibility? Some fundamental “who” rather than “what?” Do we grant rights to biological beings because we’re biological beings?

Are rights deserved or do they reveal something about the giver?

We’re close enough to start asking questions.

Before the machines ask them for us.

Half Full

The weight’s getting heavier.
The water’s rising.
The hole’s getting deeper.

The news is always bad.
The bank account’s getting close to zero.
The bills are piling up.

The glass isn’t even half empty — there are only a few drops. There is no way to be optimistic, especially for a realist. In fact, you’re pretty sure if someone tosses a “lemons into lemonade” line your way, you’d punch ’em.

There’s no f’n lemonade.

So what do you do?

Breathe. Make your list. Do one thing. Then the next. One bite at a time. One step at a time. One shovel-full. Faith. Family. Friends.

But never nothing.

The glass will start to fill. One drop. Then another.

Then it’s half full.

Trust the Team

Trust is necessary.

Trust yourself. Trust the process. Trust God. Trust it will be all right. Trust you’ll figure it out.

And don’t forget to trust the team.

The team got you here. The team will step up.

Trust the team.

The User Interface Blanks

Everything has a user interface. You might want to pay attention to it.

The UI allows you to work it or tells you how it’s working. Is it levers and buttons? Gauges and windows? Maybe it’s audio or video. Do you need physical effort or mental intuition?

The UI is the connection whenever you’re making something for someone else. It’s what you or they see. It’s what you or they use.

What does your UI tell them? What does your UI tell you?

If the interface is unclear, somebody is filling in the blanks. Either them or you.

What are those blanks telling you?

Just Right

Sometimes the temperature and the breeze is just right. The people standing around you are just right. The activity is just right.

The moment is just right.

Look around. Take it in. Be thankful.

Don’t miss it.

Because tomorrow you’ve gotta climb back down into the trench.

What About When It Fails?

We talk about when it all works. The sunny day scenario.

We highlight it. We get excited. We show the investors. We show our friends.

But it’s gonna break.

You’ll get 8 inches of water in the basement. Your client will no-show. You won’t get a response. You’ll get stuck on the side of the road. The power will go out. The user will do something you never thought of. You’ll have no internet connection.

What will you do then?

The Absurdity of the Rectangles

We wake up to the buzzing rectangle on our bedside table.
We spend our day staring at the rectangles on our desk.
We drive to where the rectangles tell us to drive.

Maybe we need more circles and triangles.

Leadership During an Apocolypse

Tornado warning. Trees and branches falling all around. Inches of rain per hour. Flash flood. Roads unpassable. The groundwater table rises above the elevation of the basement floor. The power goes out. 

What can you do? What does a leader do?

  1. Breathe.
  2. Assess.
  3. Prioritize.
  4. Focus.
  5. Direct.
  6. Empower.
  7. Work quickly.
  8. Let go what needs to be let go.

Because in a real crisis, everything’s not equally important. Some things will be lost. Some things can’t be saved.

A leader doesn’t panic.
A leader doesn’t freeze.
A leader sees the mess, accepts the chaos, and makes the next decision anyway. Even if it’s the wrong decision.

Leadership isn’t about controlling the storm.

It’s about moving forward within it.

Even when the water’s rising.
Even when the lights go out.
Even when it feels like the end of the world.

Especially then.

The Crazies

I recently visited the Museum of the American Revolution.

Well done. I highly recommend it.

My big takeaway: the US came to be because of the crazies. 

Not the reasonable people. Not those with a cool head. Not those with the ability to look at both sides and find the common ground.

The crazies.

And as someone who considers himself a reasonable person, that gives me pause.

But also, it helps me appreciate the big, beautiful chaos that is this wonderful country. We fight. We yell. We argue. We push it this way and that way. 

Most importantly:

We can fight. We can yell. We can argue. We can push it this way and that way.

This is freedom. This is what it looks like. 

Thank you, crazies. 

You’re No Cat

My cat woke me up last night, and then kept me up batting a little plastic spring around the floor and generally making an ass of himself.

First, let’s clear this up: Cats aren’t nocturnal.

They’re crepuscular. That’s a strange-sounding word that simply means “most active during the twilight hours.”

Bullshit, this was 3 am. 3 am is never twilight in southeastern PA. Now, I’ve been to Sweden, Finland, and Norway, and in the summertime, 3 am can indeed be twilight in those areas. But not here.

Regardless, crepuscular means they are adapted to seeing much better than you do in the low light. They don’t have perfect night vision, but they don’t need much light at all — the moon, a porch light, a street light down the block — to see just fine.

It’s the rods. They got a lot more than you do.

When you stumble over the coffee table or step on an errant shoe in the dark, it’s so tempting to look at the cat and wish you could see like they do. It seems like such an advantage.

But you got the cones.

Which means you see much better color and detail in both near and far distances than your cat.

Every time you look around at others and the world, you have a choice. You can continue to wish you were like the cat, or you could recognize the advantages you have.

Change is the Point

Life is a journey of change.

Your experiences. Your family. Your work. Your body. Your ideas.

What would be the point of living if we didn’t let life change us?

We’re (I’m) wired to resist it. We (I) lean into what’s familiar, what feels safe, what’s comfortable.

But comfort isn’t the goal. Change is.

New problems present an opportunity to change your skills.
New people present an opportunity to change your thinking.
New seasons present an opportunity to change your priorities.

This you is a different you, whether you’ve embraced it or not. The trick isn’t ignoring or avoiding change. It’s participating in it. Each day presents the opportunity of change.

Change isn’t the interruption of your life.

It is your life.

Gatekeepers

Gatekeepers have always had a niche.

When I started working at GE building satellites in the early 90s, it was pre-internet, and for the most part, pre-digitized data. Finding information was hard. 

You had to know the gatekeepers. 

The gatekeepers were the ones who held the information. They held the Texas Instruments and Motorola databooks, the software syntax books, and the filing cabinets full of engineering drawings, data, and reports.

The gatekeepers knew and relished their value in this market of information. Some even had a “check-out” system like a library. 

Then, along came computers and the internet. Within a few years, the shelves full of books and filing cabinets full of paper no longer mattered.

The information gatekeepers lost their business model. 

But gatekeepers never really disappear. They just evolve.

And now AI is the latest in the long line of gatekeepers. 

AI decides what answers you get.

AI drafts the responses you never wrote.

AI filters, suggests, corrects, ranks.

AI holds the keys now. But to which doors?

Money’s Superpower

Money is a charlatan. A trickster. And it is oh, so good. 

It says, “Look over here,” and we do while it pockets the card with its other hand.

We fight over it in our personal lives. We fight over it in our public and political lives. We bluster, yearn, blame, and chase. 

We say it doesn’t matter, yet we fashion our lives around it. We put it on the vision board as the goal.

But money isn’t a worthy goal. It’s not the end. 

It’s the means to an end. 

Money’s superpower is as a tool.

Once you recognize the real power of money, you stop chasing it for its own sake. You chase what it unlocks. You start chasing the real goal. 

But the goal? That’s still on you.

What ChatGPT Can Find About Me

Here was a fun little experiment.

“You are a blank slate. All you know is this:
* My name is John Macdonald
* I live in Oley, PA
Now do research on me and tell me about myself.”

It came back with a pile of mostly correct but some incorrect information. I went back and forth with it a few times to correct and clarify some things, but here is the summary what it came back with, unedited by me.

  • John Macdonald — Oley, Pennsylvania. Founder, writer and long-time embedded-systems engineer.
  • CEO, 4TLAS Technology Solutions. Builds DevOps and automation platforms (Fuze Build | Test | Deliver) for embedded teams.
  • Career arc. 30 + years across hardware, firmware and test automation; recognized for rescuing under-performing teams and shipping complex products.
  • Voice & thought leadership. Publishes punch-sharp essays at johnmaconline.com, whitepapers on DIY-DevOps costs, and appears on Embedded World & Driven Deal podcasts.
  • Education. Masters, Penn State University. 
  • Leadership style. Positive-pressure, autonomy-first; blends Pressfield-like discipline with creative slack for high-ownership teams.
  • Home base. Four-bed, 2.5-bath rural house (built 1998) that doubles as HQ for family side ventures.
  • Family. Married to Christine Crouse Macdonald. Children: Madeline — registered dietitian, ex-NCAA gymnast; Luke — PSU finance ’26, founded Mulch ’n Mowers; Joseph “Joe” — principal software engineer, Capital One, now Richmond VA.
  • Side interests. Shoots everyday-life photography on Unsplash (@jnmacdonald).
  • Roots & reach. Two decades at the same address while exporting expertise worldwide through 4TLAS toolchain, writing and speaking.

A couple of curiosities:

  • Other than LinkedIn, it didn’t find any social media for me.
  • It knew a lot about my house. More than is in the summary.
  • It estimated a widly inaccurate net worth (not included in the summary).
  • It initially omitted Chris and Joe as part of my family, but knew about Luke and Maddie. 

You should do the same. Do you like what it finds?

Art Versus Science in Startups

You can do all the science for your new startup business.

You can research the market and find the gaps. You can research the perfect product to fill that gap. You can research the development effort. You can research all the costs, risks, competition, and the pricing model. You can build a rock-solid pro forma.

But at some point, you still have to make the art.

What color? Rounded or square? What should we leave out? Who’s our person? What’s the story? What’s the story our person tells themself? What do we want them to feel? How do we convey the story? What are we willing to give up? What are we willing to change about our perspective?

Science gives you the data. The art determines success.

Anything worthwhile takes both.

You’re the Storyteller

Often, it’s easy to recognize when you’re the storyteller.

If you’re standing at the front of the room, you’re the storyteller.
If you’re posting on the socials, you’re the storyteller.
If you’re talking to a potential partner, you’re the storyteller.

Sometimes, however, you may not recognize it. But make no mistake, you’re still the storyteller.

If you’re looking in the mirror, you’re the storyteller.
If you’re replaying last week, you’re the storyteller.
If you’re thinking about next week, you’re the storyteller.

You’re the storyteller about yourself. About what happened and what’s possible. What didn’t and what could.

You own the narrative. You own the perspective. You own the feeling.

So, what kind of story are you telling yourself?

They Don’t Make Them Like They Used To

I got my first car in 1987. It was a 1979 Chevy Chevette. Mint green, 2-door, 3-speed automatic with a whopping 70 hp.

There is no way to sugarcoat this — this car sucked.

Don’t get me wrong, I was happy to have a ride, but every day it was something. I carried around a large adjustable wrench. Not because I might need to tighten some bolts (although that, too) but because sometimes I needed the all-metal handle to short the starter motor terminals. Sparks would fly, but the motor would kick over, and we’d be on our way.

I still have the wrench. Here it is, and you can easily make out the distance between the terminals on a 1979 Chevette starter motor.

The Chevette followed directly from the 1973 oil crisis. American car manufacturers, who had been spending most of their engineering effort on bigger, faster, musclier, and more luxurious cars, suddenly had to pivot to fuel efficiency. But it took time. It took real products out in the real world to figure out how to make them better.

In 1987, this car had less than 50k miles. I passed it on to my brother when he turned 16, and when he finally put it out of its misery, it had less than 75k.

How many miles are on the cars sitting in your driveway?

They don’t make them like they used to.

And thank goodness.

The Shifting Sands

The shifting sands aren’t quite the same as the rug pull, but they rhyme.

The rug pull hits you all at once. One minute, you’re standing on solid ground, and the next, your feet are firmly planted in mid-air. The decision has been forced upon you. Solve the problem. Today.

The outcome of the shifting sands is the same, but the journey is different.

If you’re not paying attention, you probably don’t notice the ground moving. Or maybe you notice it, but it’s so slow and small that you decide it’s not immediately important.

A slow erosion. What once was stable is now a bit tilted. Not because something snapped but because it’s been shifting beneath you for months.

The shifting sands don’t demand action like the rug pull. They seduce you into complacency.

The danger of the shifting sands is not that you’ll fall. It’s that you’ll sink.

Even though it feels solid, the ground beneath us is always shifting.

How will you adapt?

Toward Perfection

Perfection is an unattainable target.

Perfection only exists in a lab with ideal conditions, a controlled environment, and a finite set of known inputs.

Perfectionism is a form of Resistance. Avoidance. It can keep you in your comfort zone. Perfectionism can help you feel better about not trying.

Toward perfection, however, is not the same as perfectionism.

Toward perfection is toward better. And toward better is how you make a difference.

Eye Rolling Mistakes

You know the kind. You could also follow it with a “SMH.” I can hear my friend John yelling, “Dumbass!”

Here’s a good one. 

I asked ChatGPT to extract and list out the Pixar movie rankings from this USA Today article (totally public, totally visible). 

For brevity’s sake, I won’t list all 29 here, but here’s the article’s top 10:

  1. The Incredibles
  2. Monsters, Inc
  3. Coco
  4. Inside out
  5. WALL-E
  6. Toy Story
  7. Finding Nemo
  8. Inside Out 2
  9. Ratatouille
  10. Turning Red

First, where’s Cars? But we’re not arguing over the list here…

Here’s ChatGPT’s version of its extracted list:

  1. Cars 2 (nobody…no human could put this first)
  2. The Good Dinosaur
  3. Onward
  4. Lightyear
  5. Cars
  6. Brave
  7. Cars 3
  8. Finding Dory
  9. Monsters University
  10. A Bug’s Life

A simple, concrete prompt. An easy mission.

🙄 🤦‍♂️

Is AI Making Us Dumber?

Spoiler Alert: No, unless…

Like all tools — especially brain-enhancing tools like encyclopedias, the internet, spreadsheets, and your smart colleagues — LLMs come with a warning:

AI is not a substitute for you. 

MIT just published a study indicating that using AI for writing tasks significantly reduces neural engagement and memory retention over time, leading to what researchers call “cognitive debt.” 

The AI doomsayers are holding it up as evidence of how AI is making us dumb.

Well, are you dumber now because your phone has your friends’ contact information? Are you dumber now because you can Google “how to fill out my 1040” (I was so tempted to write “hos long to die in cold”)? Are you dumber now because your colleagues know QuickBooks better than you, so you ask them to look over your work?

It’s not a question of whether our tools are making us dumber. That’s a bad question. 

It’s a question of whether we allow our tools to make us dumber.

And that’s up to you. Not AI. 

It’s Just a Fork in the Dishwasher

Sometimes, it really is just a fork.

But also, that one fork might have changed everything.

One fork became the spoon, bowl, and three coffee mugs sitting in the sink. Then you wiped down the counter, which led to wiping the cabinet doors. While wiping them down, you could no longer just close the door on the dysfunctional storage container cabinet. Before you knew it, not only was the kitchen clean on the surfaces, but also under the covers.

The full job. The one you knew needed to be done. Was done.

All because of that one fork.

Somedays you just gotta find that fork and take care of it.

The Right Amount Ahead

Ready, Fire, Aim
Build the bridge as you cross it.
Leap before you look.

Measure twice, cut once.
Have all your ducks in a row.
Look before you leap.

So which is it?

Well, that depends.

On what you’re building.
On what’s at stake.
On who’s involved.

The trick isn’t choosing one over the other. It’s recognizing how to be the right amount ahead.

It’s the System, Not the Words

“The people of Texas are informed that, in accordance with a proclamation from the Executive of the United States, all slaves are free.”

June 19, 1865. 

That’s the day when Union Major General Gordon Granger, along with 2000 troops, arrived in Galveston, TX, and announced the end of slavery.

But this was over two years after the Emancipation Proclamation.

Of course, information traveled and filtered into the masses slower in the 1860’s. No internet, radio, TV, or automobiles. Not everyone heard. 

One could blame it on that. And that would be a lie. 

The system didn’t change because it wasn’t ready to change. It didn’t want to change. 

It’s always the system. 

We celebrate Juneteenth not because of the declaration of the end of slavery. We celebrate it because this is the day it arrived. 

Figure it Out

We live in a big, beautiful world.

So many interesting things. So many unknown things. So much to learn.

So much to be curious about.

Yet, The World tries to steal your curiosity.

“Don’t think about that. We’ll take care of it.”
“Don’t wonder about that. We’ll do it for you.”
“Don’t look into that. We’ll tell you how it is.”

One quality that will keep you young, make you happy, and help you remain useful is curiosity.

Never stop thinking. Never stop wondering. Never stop looking into it.

Figure it out.

More and Less

Deep down, you know.

You know that more outrage doesn’t help you. It helps them.
You know that more scrolling doesn’t help you. It helps them.
You know that being more offended doesn’t help you. It helps them.

If your goal is to help them, then by all means.

But if not, maybe less is better.

The Effort of The Flow

I’m sure, or at least I hope, you know the flow state.

It’s that beautiful moment of full immersion, where time vanishes, doubt disappears, and the doing comes effortlessly. 

For me, it can happen when writing code, writing words, or building a spreadsheet. But also, I can find it when sharpening the knives, fixing the lawn mower, or wrestling with a jigsaw puzzle.    

I don’t find it every time I do something on that list or every day. But I’m always in pursuit of the flow. 

How do we summon it?

It’s not a sudden spark or a lightning bolt. It doesn’t hit in the shower or the middle of the night. 

It shows up when we show up. 

Steven Pressfield talks about the muse and how she shows up because you summon her. She doesn’t show up because she feels like it. You’re not waiting around until she shows up. You sit down and do the work. That’s when she shows up. 

The Flow follows effort. It’s a pattern. A rhythm. Deliberate.

The Flow finds you because you put in the effort. 

Show up. Do the work. Make bad stuff. Get punched in the face. Make it again. And again. 

Summon The Flow. 

Still Becoming

People at my age often stagnate.

And just as often, it’s on purpose. They’re tired, or feel like they’ve earned where they are, or feel done.

I don’t blame people for this. We’re 30 years into our careers and probably 20-30 years into family life. We’ve been there and done that. We’ve figured some stuff out.

However, you’re also never done.

The world keeps shifting. Technology and culture keep marching forward. Changing around us, if not with us.

You keep shifting. Physically, mentally, and emotionally. Whether you’ve embraced it or not.

You’re still becoming, whether by default or design.

The question is: Are you happy with who you’re becoming?

You and Your Brain Still Matter

Apple just published an interesting paper

The TL;DR:

Current Large Language Models (LLMs) and Large Reasoning Models (LRMs) still suck as the complexity of the problem increases. Also, adding more resources (i.e., compute power, etc.) and better instructions don’t help. They simply hit a wall.

What does that tell us?

That AI still doesn’t think. Not the way we do. It can mimic, compute, pattern match, and summarize. But reason, connect, and leap? That’s still ours to do.

That your brain is still your best asset. For now, no model outthinks a thoughtful human, especially when problems get complicated. Critical thinking is still job security. Humanness is still job security.

Will this change? Will the models get more human-like? 

Maybe, but maybe not. AI will get better, but what better means is not yet understood. 

For now and the foreseeable future, you still matter. Your brain still matters. Your humanness still matters. 

Knowledge Isn’t Learning

We confuse the two all the time. 

Knowledge is what you know. The dates, specs, and procedures. The contents of a book, the lecture, a YouTube video, or what you see from the stands. You can gain knowledge without ever leaving your chair. 

Learning is what happens when you engage. 

You can memorize the rules and strategies of chess, but what happens when you start playing? One gives you information, the other, transformation.

You can know everything there is about fitness and still never work out. You can know the steps of a sales process and still never close a deal. You can know leadership principles and still be a lousy leader.

Because knowledge doesn’t necessarily affect behavior.

Learning shows up in how you act, how you adapt, and how you grow. It shows up when you fall, reconsider, revise, and try again. It’s the shift in how you see the world, not just what you can recite from it.

Knowledge might help you join the conversation at a dinner party, but learning is what makes you worth listening to. 

Costco Membership IDs Don’t Work for TSA

Despite some rumors, your Costco ID will NOT work at the airport.

The Costco card indicates you’re part of that club, but that club doesn’t carry any weight at the airport.

We all carry various physical, intellectual, and emotional membership IDs. The key is to know which one to use when.

The Sedation of Busy Work

Deep down, we know what the real work is.

The phone call. Reworking the pitch for the umpteenth time. Redoing the research and the numbers. The thing that might not work.

But we don’t do it. Not right away.

Instead, we clean our desk.
We tinker with the fonts and images.
We attend a meeting that doesn’t need us.

It feels productive.
It feels like progress.
But it’s just sedation.

Busy work dulls the discomfort of real work.
It keeps us feeling safe, but not moving forward.

The real is scary. Uncertain. We might fail. We might be told we stink. We might be told we don’t have anything.

But it’s the only work that matters.

The rest is just anesthesia.

Are you doing the real work, or are you just staying numb?

Reactor Reboot: AI and the Return of Nuclear

I live about 70 miles east of the infamous Three Mile Island nuclear power plant. It’s been shuttered since 2019.

“Exelon announced in 2017 that it would shut down Three Mile Island Unit 1 unless the state stepped in with a financial rescue of about a penny a kWh, less than half of what renewables get in subsidies even though renewables generate a fraction of the low-carbon electricity to the region that TMI does.”

But it’s about to get turned back on in 2028. Under a new name, of course — The Crane Clean Energy Center. Marketing at work here. 

Microsoft is doing it. For AI. 

And Microsoft with TMI isn’t the only one. Meta’s keeping the Clinton nuclear plant in Illinois from shutting down, and the US government is turning back on the Palisades nuclear plant in Michigan for the same reason — AI. These won’t be the last. 

Let that sink in.

For all of the cocktail party discussions and public debates about clean energy and BBQ picnic arguments around the pros and cons of nuclear, AI’s making it happen. Pragmatism steps into the ring and he’s looking well-trained, in-shape, and a force to be reckoned with.

Sometimes, you shouldn’t look a gift horse in the mouth. 

On Big, Medium, and Small Decisions

You easily recognize the size of some decisions.

Marriage is easily recognized as big. Renting an apartment you’d probably call medium. And where you’ll eat lunch you wouldn’t think much about.

In the moment, or the lead-up to the moment, you may recognize the size, but it’s also just as likely that you won’t or you’ll get it wrong.

Maybe your lunch was tainted, and it put you in the hospital. Or, while eating your lunch, you serendipitously met your future partner, employer, or largest customer.

The reality is, size isn’t always measured by effort or emotion in the moment. Some big decisions feel small when they’re made. Some small ones echo for decades.

That job you took because it was convenient.
The person you met because you sat next to them.
That time you said yes, or no, without much thought.

Only hindsight can provide the necessary context.

Stay awake. Pay attention. But also, don’t fret too much. Don’t be paralyzed. Keep marching. Reflect, OK. Give yourself grace. The small may be bigger than it seems. The big may be more flexible than it feels.

Each decision shapes the story you’ll tell later, but that story is your own.

Big, medium, or small. They’re all chapters in your life.

Is Pretend Work the Future of Work?

It seems there is a pretend work trend in China.

“Many citizens who don’t want to explain their employment status pay to rent a position in a fake office, with some even assigning fictitious tasks and organizing supervisory rounds.”

Why? 

Because work is meaningful. For some, it’s identity. For others, it’s purpose. And others, it’s just what needs to be done. 

Work, by the way, doesn’t need to be “professional.” It’s application. Utility. Creativity. Expense of energy for some purpose. 

But in any case, it’s meaningful. 

Having “work” to do — or appearing to — communicates value. We want to feel valuable. 

We can talk about systems, institutions, and governments and how each of these has contributed to and sustains “where we are in human history,” but none of these exist without basic human ambition. 

The Smart People don’t give enough credit to the human spirit. To ambition. 

Humans want to matter. They want to contribute, to be seen, to be relevant. They want to work. 

Not everyone. But enough. 

The danger isn’t fake work. It’s systems that don’t make space for human ambition. It’s when bureaucracy, risk-aversion, and status produce work that feels just as fake but pays better.

Is our system perfect? Heck, no.

The good news is that if we continue to work on the systems, we can build work that matters. Work that welcomes people. Work that sees potential and encourages contribution. 

Because the future of work isn’t pretend.

The human spirit is too ambitious. 

Some Good Ole’ Fashioned AI Pessimism

I’m generally an AI optimist here. Maybe an apologist also. 

But I recognize some of the dangers, the biggest of which is the incentives we give it. What if the incentives are malevolent?

Fakers have been around for hundreds of years. Forgers, impressionists, and impersonators have been at their craft for a long time. Bilking us out of our money. Making us believe the make-believe. But there was an art to it. A very human skillset required. 

Now, we have AI. 

AI is a tool that is and will be very good at faking the crap out of us. Words, audio, and most insidiously, video. No human skills required. Just incentives. 

Video is the best tool we have for objective understanding of what happened. It provides context in both space and time. We use it in the legal system. We use it for historical analysis. We use it for academic research. Armed with movie studios in our pockets, we walk around capturing all the moments of our lives in video for both posterity and personal remembrance. It’s a powerful tool. 

However, we also know its limitations.  

We know when we’re watching a movie or a TV show, even documentaries and reality TV, that it is or might be make-believe. Even video segments on The News cause us to raise an eyebrow occasionally. Green screens, editing, camera angle, and CGI live in our vernacular. We know how they work. We know their capabilities. They’re a front-of-mind part of how we understand what we’re watching. 

Until now. AI blows the “objective video” paradigm out of the water. Take a peek at this one:

As the saying goes, “Believe none of what you hear and only half of what you see.”

I fear the new, more accurate version is, “Believe nothing.” 

The Differentiation Grid

A great way to think about and socialize your unique advantage is a differentiation grid.

It looks like this:

What are the axes on which you (or your product, your service) look the best?
Who are your competitors?
Where are they on the grid?

Find your axes. Find your magic.

Shift to Symphony Mindset

When I was a young engineer working on the products that our company made and sold, I was quite naive. 

Actually, I was worse than naive. I was insular and egocentric. Basically, I thought that engineering was the most important function of the company. Engineering was the purpose of the company. 

Sales? Can’t sell something that doesn’t exist.
Marketing? Can’t market something that doesn’t exist.
Accounting? Can’t create P&L statements if there’s nothing that brings in P.

Yeah, I’m not proud of my thought process at the time.

I missed the fact that we were all pieces in the system. All important. None functions without the other. It’s a symphony, not a solo performer.  

You can’t sell or market something that doesn’t (or won’t) exist, but also, you don’t have a business (or a job or a purpose) without marketing and selling what you make. You also won’t be in business if you can’t understand your finances, keep them in order, and make decisions based on them.  

So here’s a better approach: 

When you walk into the room, assume everybody is important, and ask yourself, “What does the system need from me?”

That’s the shift from solo performer to symphony.

Snowing Yourself

It’s easy to do, and it’s easy to buy in when others do it for us.

“You deserve this.”
“You’re doing a great job.”
“It’s not your fault.”

To be clear, these may be true, but what if they’re just comfort in disguise?

Are you snowing yourself?

Productivity Metrics

Productivity is easy to measure in industries that make stuff. How many cars off the line? How much wheat? How many I-beams?

Productivity measurement in knowledge work is slippery.

We try. Is it hours worked? Is it emails sent? Story points? Tickets resolved? Tax forms submitted?

What if we stopped asking, “how many?” and started asking, “what value?” or, “what problem was solved?”

Busy is easy. Valuable is harder. Solutions are harder.

But that’s the work. Once you see it, you’ll never worry about losing your job to AI.

ROA (Return on Attention)

Attention is a currency.

You spend it, and others are trying to extract it.

We talk about, write about, and argue about how we spend our other resources. We made up the term ROI (return on investment) to measure it.

“What’s your ROI?”

How are you spending your attention? Are you investing it? Wasting it?

“What’s your ROA?”

Where you spend your attention shapes what you produce, how you feel, and who you become.

Attention, like time, is one currency you can’t earn back.

$1000 Meetings for $100 Problems

A friend of mine recently said that when we were commiserating about useless meetings in our businesses.

In the industrial work paradigm, you clocked in, moved parts down the line, and then clocked out. Today, we do the same thing, except the parts are useless meetings, and the line is our calendar.

We replaced the factory with the meeting room.

We gather six people with the right titles for an hour to address a $100 problem.

The repetition feels safe. Familiar. Productive-ish. The hierarchy is satisfied.

Useful work — the kind that solves $100k and $100M problems — often takes place with a collaborator or collaborators. In assertion. In tension. In collective energy. In conversation.

Wait, aren’t meetings the problem?

Meetings, yes. Conversations, no.

If you’re a leader, encourage the conversations. Give them room to exist and breathe. Give them tools and the power and responsibility to use them.

Skip the meetings.

1000 Blog Articles on The250

I’ve made it to 1000 days in a row. That’s about three years. 

Here are some observations:

  • It doesn’t feel like 3 years. 
  • It’s now a habit. I get antsy if I can’t/don’t write. 
  • The perfect balance of working days ahead is 3-5. 
  • Writing has helped clarify my thinking. I find I can have better conversations about the stuff I’ve written about.
  • I no longer have to think hard about 250 words. However, I sometimes have to edit quite a bit to get there. Lessthan in the beginning. 
  • I get excited when I have “series” ideas. I think it’s because I can dig in across multiple days on the same basic topic.
  • I occasionally read back through some for context and to look for progress. I am happy with some and hate others. 
  • My recent and near-future topics are mostly technology (AI), leadership, productivity, work culture, some marketing/messaging, and values and modern life. I suspect it will continue.
  • ChatGPT has helped. These are still my words and thoughts, but I use ChatGPT to help edit, research, and look for patterns. 
  • My audience is me. I’m writing to work out the stuff in my head. These are notes to myself. You’re voyeur.

Next stop is 10000. I’ll be turning 80 at that time. 

I wonder if I’ll make it?

Back At It

You’ve lost momentum.

To get back at it, you don’t have to start with inspiration, intensity, or the answer to whatever stopped you.

It’s simply motion. Not everything or even the most important thing. Start with the next thing. One foot in front of the other.

Now you’re back at it.

The Data Bludgeon

Tables and charts are just tables and charts. 

Until you enter the picture. Does this table beg new questions from you? Will this chart inform your decision? Do either of these help you change your mind or bolster what you already know? 

The data doesn’t talk, but when you come together with it, it may undergird your voice. Or maybe not.

Yet, smart marketers use data as part of the story they tell. It’s part of their influence campaign. It’s a bludgeon.

More data — bigger hammer. 

Don’t be impressed, distracted, or confused by the data if it doesn’t help you see it better. 

Data should be a flashlight, not a weapon. 

A Penny Saved is a Nickel Earned

[NOTE: I commandeered/plagiarized/stole the title from The 1440.]

Penny’s cost almost four cents to make. Yet, they’re worth only one cent. 

The government lost $85 million last year making pennies. $85 million. A pittance for the government, sure, but for you and me? 

And what did you do with them? 

You probably left them at the register, or tossed them in a tip jar, or stuffed way down in the console of the car, or even threw them out. About 6.7 million people toss their pennies in the trash. In total, we discard about $62 million in coins each year, with pennies comprising a significant portion of this amount.

And yet, we kept stamping them out. Why?

Nostalgia — The penny feels foundational, plus it’s a tie to times past. 

“That’s how they get ya!” — People are concerned about businesses rounding up and having to pay more.

Infrastructure — Pennies are built into the system’s infrastructure. Changing the system is hard. 

Politics — Somebody’s gonna spin this as taking away something “the people.” That somebody will tell you a story with a name and a face about how this person is suffering without the penny. 

OK, fair enough. 

But sometimes you gotta rip the band-aid. 

Just because it used to work doesn’t mean it still does. Just because that’s the way we always did it doesn’t mean you still should. Just because one or some people may be worse off doesn’t mean you shouldn’t do it anyway. 

The hardest part of progress isn’t necessarily building the new. Sometimes, it’s letting go of the old. 

The Disappearance of the Blank Page

The blank page used to mean something.

It sometimes meant a world of possibilities laid out before you. The start of an adventure. Other times, it mocked you. It was a giant, glistening wall topped with the sharpest razor wire ever conceived.

In either case, it was the moment right before the idea formed. Exciting or torturous. A moment of tension. Compressing the spring or over-inflating the tire.

But now?

Now, the page is never blank. ChatGPT fills it before you’ve built any tension. Before you’ve wrestled with the possibilities or the wall.

I admit it. I do it. I use ChatGPT to fill my blank page, so I don’t have to wrestle with it.

It feels productive. It feels helpful. It feels like a shortcut.

But is it serving me?

Am I — are we — skipping the part where I discover what I think, feel, and believe rather than copy what sounds good?

The blank page is the beginning. An invitation, or sometimes a command, to think from scratch.

ChatGPT is an amazing tool, but it’s not the work.

The work still starts with facing the blank page.

AI — It’s a Mirror Not a Brain

AI doesn’t think. 

Not like we do. Not like our brain does.

It can spot patterns. It can synthesize. It can reframe, remix, and repackage. 

These can seem like thinking, much like it seems like we can fly with an airplane. But we can’t really fly. Not like a bird.

AI doesn’t feel. It doesn’t wrestle. It doesn’t wonder. It doesn’t push back. It doesn’t get fatigued. It doesn’t stress. It doesn’t wake up one morning and decide it doesn’t want to — or that it does want to. 

What it does really well is reflect. 

We gave it our libraries, galleries, feeds, opinions, and search histories. And now we ask it to tell us something about that. 

It’s very good at that. 

But it’s a mirror, not a brain.

And mirrors can be helpful. They show us what’s already there. They’re fluent in what’s already there. That helps us remember, see, and understand. 

However, let’s not confuse fluency with wisdom because we risk mistaking reflection for truth. 

And we’ll stop doing the hard part. The human part. 

AI — The Road from Personal to Organizational Productivity

We debate AI at the personal level. 

Is it OK to use AI to:

  • Help me do homework?
  • Help me code?
  • Help me script a speech?
  • Help me write a novel?
  • Help me find patterns in this data?
  • Help me determine the legal precedent?
  • Help me create music and video?

These are interesting conversations, and those who find the right answers will make themselves more valuable.

But make no mistake, these aren’t the questions “the system” is asking. The system is thinking about how to use AI for corporate and organizational productivity.

Personal AI productivity is step one. A necessary step, but organizations won’t scale through AI without true leadership. 

Nobody has the playbook. Not OpenAI. Not Microsoft. Not McKinsey. They can’t tell you how AI fits your company, team, or goals.

If you’re a leader, it’s your job now.

The Story We Tell Ourselves About Ourselves — Confessions of a Minivan Owner

I’m coming out of the closet. 

The best car we ever owned was a minivan. Specifically, a 2004 Toyota Sienna. Dark green. Tan interior. Stone-cold awesome.

We put 250,000 miles on that thing.

Three kids. Countless vacations. Thousands of sporting events, lake trips, and hardware store runs. It towed our jet skis, cruised the interstate, and swallowed everything we threw at it.

It was reliable. Comfortable. Easy to drive.

You might be thinking, “A minivan? Really?” Yeah. Really.

Why does a minivan trigger a little cringe?

Probably identity. And that identity has been shaped by the culture and the market. 

Minivans became shorthand for “settled-down.” People want vehicles that say “adventure.” Even if the closest you get to off-road is the garden section of Home Depot. 

Manufacturers know this, and they leaned in. Minivan margins are slim, and SUV margins are fat. Target the marketing dollars at the fat margins. 

And we followed. Not because SUVs and giant pickup trucks are better for our lifestyle. But because of story. The story we tell ourselves about the person we are or want to be. It’s a story of freedom and adventure.

I don’t, but I could

Whenever you’re making something for someone else, make sure you know the story they tell themselves about themselves. 

Because it’s the story they’re really buying. 

P.S. About 80-90% of the 30 million Jeeps, SUVs, and trucks with knobby tires, roll-bars, and lift-kits on the road today have never been, and will never go off-road. That’s about 24-27 million “I don’t, but I could.”

Disagreement as a Method

Disagreement feels like rejection. Agreement feels like validation.

Disagreement is discomfort. Agreement is comfort.

But if you’re a leader, agreement can be a trap because your idea isn’t always the best.

The best ideas, or maybe the best outcomes, come from creative tension. From friction. From someone brave enough to say, “That doesn’t make sense.”

Want better ideas? Invite your people to disagree. Create space where people don’t have to nod along.

If no one’s pushing back, you’re probably not leading. You’re just broadcasting.

More is Better?

More is many things.

We chase more because it looks like progress, value, and better.

More is easy to sell. It’s harder to maintain.

More meetings mean more overhead.
More stuff means more stuff to deal with.
More choices mean more decisions.
More features mean more bugs.
More success requires more success.

More is unstable. Because it requires more.

You’ve Got 3 Minutes

That’s about 450 words. What will you say?

It’s a hallway conversation. A coffee line moment. A surprise introduction or run-in at the grocery store.

That’s just enough time to either make someone lean in or check out. It isn’t long enough to say everything. But it’s more than enough to say something.

Will their eyes glaze over or flit about? Or will their pupils narrow just a bit as the muscles around them tighten slightly?

Start with the spark. Not the history. Not the digression. Not the explanation.

The spark.

What’s the essence of the story?

You’ve got 3 minutes. What will you say?

The Elevator Pitch (Get Ready for a Nightmare Ride)

The elevator pitch has several origin stories.

Here’s one I like:

In 1854, Elisha Otis dramatically demonstrated his safety elevator at the New York World’s Fair by cutting the support rope on a hoisted platform on which he was standing. The platform safely stopped mid-air.

Here’s another:

In early Hollywood, screenwriters used elevator rides to pitch ideas to busy executives, prompting the creation of brief, persuasive pitches that required clarity and efficiency.

So what is it? Here is an elevator pitch for an elevator pitch:

“An elevator pitch is a powerful, concise summary of your idea, product, or value proposition that you can deliver in the time it takes to ride an elevator.”

Elevator pitches are very difficult for someone who rambles, tends towards overexplaining, uses too many words, includes too many details, digresses, inexplicably feels the need to explain tangential concepts, is secretly afraid that the audience thinks he doesn’t know what he’s talking about, and really and truly just wants to ensure that everyone, everywhere gets the point.

That’s me. And that’s a terrible explanation, like most of mine.

Now, here’s the elevator pitch version of the previous (from ChatGPT):

I ramble, overexplain, and occasionally give TED Talks on side topics, which is why delivering an elevator pitch feels like a personal nightmare.

Or, here’s another (from ChatGPT):

Elevator pitches are hard when your brain writes a novel, your mouth reads the footnotes, and the elevator only goes up three floors.

This post is proof. I set out to write an elevator pitch but ended up walking you around the entire building, door by door, floor by floor. We went to the basement to see the plumbing and electrical infrastructure. We went to the roof to see the antennas. I told you about our contract with AT&T and Verizon to lease antenna space. I probably pulled out the documentation. I showed you the custodian’s closet. I explained the lighting strategies and provided some wonderful (ly boring) anecdotes about the automation features. Did you know that the floors use a new compound that not only meets the green requirements for this building, but have actually saved us almost 5% compared to the alternative?

I’m sorry for that. I can’t help it. That’s why this blog is called The250.

Here’s the elevator pitch for this post:

Elevator pitches are simple, but not easy, especially when your instinct is to explain the elevator before you ride it.

What You Get Paid For

Contractually, you might get paid for hours or milestones. At least according to the terms and conditions. 

But you’ll get paid much more for value.

(Thank you, Seth)

Proverbs for the Professional

I’ve written a few proverb lists over the years. Here’s a curation of those, plus some new ones that apply to the professional. No matter where you are, what you do, and what role you have, these are for you. 

  1. The same old mistakes form the walls of your prison. New mistakes pave the highway forward.
  2. Multitasking is a myth. 
  3. You don’t have a time management problem. You have a time priority problem.
  4. Avoid hanging out at the corner of bitch and moan. 
  5. Be willing to get punched in the face. 
  6. The one who gets ahead is the one who takes responsibility. Especially for the failures.
  7. Compete.
  8. Follow the money, power, and status, but learn to navigate all three without becoming owned by any.
  9. Color outside the lines. Walk on the curb. Run with scissors. Not all the time, but sometimes.
  10. Creative tension is how great teams get better. Embrace the disagreement.
  11. Always assume the other person doesn’t mean harm and that you misunderstood.
  12. Consensus does not equal truth.
  13. Curiosity and the desire to explore keep you young and make you more valuable.
  14. Bring your passion with you. 
  15. Value doesn’t necessarily mean hours or KPIs. Be valuable. 
  16. Legacy isn’t a name on a building. It’s the effect you’ve had on the people around you.
  17. You are a work in progress. So is everyone else. Remember that before casting the first stone.
  18. Learning how to recognize, confer, and use status is a superpower.
  19. Don’t be snowed by credentials. Respect everyone. 
  20. The best method for learning is to teach someone else.
  21. Do things that make you feel like an impostor. That feeling means you’re growing.
  22. Inspiration shows up more often in the middle of the work than in the middle of the night.
  23. It’s OK, maybe encouraged, to geek out on tools.
  24. You don’t have to start in the mail room, but pay attention to those who have. Their perspective is likely a magnetic pole to which you should be attracted or repelled.
  25. Leave your colleagues feeling, “I want to work with this person.” That’s not the same as, “I’d love to hang out with this person.”
  26. Once you learn how work works, you’ll never worry about machines taking your job.
  27. Professionals play hurt.
  28. Professionals show up when it counts.
  29. The leader isn’t necessarily the name in the box at the top of the chart. Be a leader. At the very least, lead yourself.
  30. Teach others to do your job.

The Control Dilemma

Stuff you can’t control directly:

If someone else says “yes.”
What politicians decide.
The price of gas.

Stuff you can:

How many conversations you have.
Who you vote for.
What you buy, where you go, how you get there.

It’s important to both recognize and remember what you can control directly.

Not just intellectually, but emotionally.

Although it’s useful to discuss and debate the things over which you have no direct control, it’s not useful to lose sleep over them.

Somehow It All Got Away

Somehow it all got away.

Have you ever, if even just for a second, stepped out of yourself, out of your existential presence, looked around and realized, “this is not as I planned it” or, “this is not how I imagined it” or, “I don’t think I recognize any of this?”

Yeah, OK, I realize that probably sounds crazy. But if you know, you know.

Somehow it all got away.

It’s jarring. It’s odd. It feels kinda destabilizing. Like vertigo, but in your soul.

Maybe that’s the point. Maybe that’s God telling you that it’s not about planning and control and exactly as you pictured it. It’s about sowing and watching it bloom. Once it’s bloomed, to continually reshape, weed, tend, untangle, or retangle.

Maybe the point is to notice and to stay long enough to see what it becomes.

If Not Everyone, Then Who?

Earth’s current population is ~ 8.2 billion.

Walmart has the highest revenue of all companies on this planet at $681 billion in the last year.

So, each person on the planet spends approximately $83 per year at Walmart. But, of course, we know that’s not true. Even Walmart isn’t for everybody. Not even close.

Perplexity estimates about 600 million shopped at Walmart last year. That’s about 7% of earth’s people. Which means each Walmart shopper spent about $1135 last year.

So what?

You’re not Walmart. You (probably) won’t have 7% of the earth’s population as your customer.

Yet again, though, Walmart doesn’t build its business around the average of 600 million customers. They break it down further.

The average Walmart shopper makes 67 trips per year and the average spend is about $54 per trip. That’s $3618. But they’re still not done. Now they dive into geography and demographics to further understand their customers. They know what a middle-income, older adult in West Virginia will spend versus a lower-income, young mother in southern California.

Your product or service isn’t for everyone.

Who’s it for?

Expect, Desire, Deserve

Building a great product or service is a bit like cooking dinner for someone you don’t know.

There are some things you know, however.

They expect it hot.
They desire something delicious.
They (believe they) deserve a great experience.

That’s product design.

They expect it to meet the basic requirements.
They desire it to meet their personal requirements.
They deserve to feel valued, heard, and respected.

If you build a washing machine, your customer expects it to clean the clothes, they desire that the features work as advertised, and they deserve to feel like they received value.

If you’re an airline, your customer expects to arrive at their destination, they desire to sit in the seat they paid for (or upgraded), and deserve to be treated with respect.

Expectations and desires are easy and concrete. Talk to your customers. Survey the market.

But it’s that last one that sets you apart.

The Slate Truck

Finally, I’m excited about a new car and car company

We have a saying in 4TLAS: “Make the right thing to do the easy thing to do.”

One thing I’ve learned in over 30 years of making stuff for people to use is that they generally do the easy thing. We wax eloquent about doing the right thing and doing the hard thing, but mostly we do the easy thing. 

We like it easy.

Therefore, if you want people to behave in a particular way, make it easy to do.

How does this relate to the Slate EV?

Most people don’t care about EV’s. At least not in the way that The News portrays it, or that we might argue about at a serene, rooftop cocktail party or a loud BBQ picnic bash in the infield at Daytona. 

Slate is showing us the very essence of making the right thing to do the easy thing to do. 

EVs will become dominant when they make practical financial sense. 

You go, Slate. 

Smart or/and Wise

Smart can be measured.

Test scores. Speed. Memory. Pattern recognition.
Smart is right. Smart is efficient. Smart gets there quickly.

You know the smart ones

But wisdom plays a different game.
Wisdom doesn’t rush. It watches. Waits.

Wisdom requires experiences. Wisdom has felt consequences. It doesn’t just answer the question, it asks new ones like, “What happens if we’re right?” and “Do we want to be right?”

Wisdon isn’t always interested in the right answer. 

Smart will build it.
Wise asks if it should be built at all.

Smart wins the argument.
Wise wins the trust.

Smart and wise aren’t the same, but the Venn Diagram shows an intersection. It doesn’t have to be or. It can be and. 

That’s where you want to stand. It takes effort, generosity, empathy, skills, observation, confidence, awareness, and history to stand there.

Not IQ or credentials. 

Your Voice

Before we had kids, my wife and I had an African Grey parrot named “Zeke.” Big, beautiful grey with a bright red tail. 

Watch out, though, because he’d lure you in to pet his head and then, wham!! He’d try to take your finger off. 

Like most greys, he could speak certain words and phrases. Not only could he speak, but he could mimic my voice. He was so good that he’d often fool my wife from the other room with short one or two-word outbursts. 

It was crazy.

Now AI can do it even better. I just gave it a try. It’s still a little awkward, and you can definitely tell it’s not the real you, but it’s awfully close. 

I’ve already thought about, and continue to think about, the question of “Would you want an AI version of you?

(My answer is yes.)

But this fully realized version of me/you is still for the future. Today’s LLMs cannot realize that functional version of you — yet. 

It’s coming. 

The question remains, “Would you want an AI version of you?”

Easy to Use Isn’t the Same as Easy to Master

It depends on where you start and what you mean by “learn how to use.”

If you’re a novice at construction, a hammer will take you less than a minute to learn how to use. Same with the saw. But how long will it take you to learn how to use those tools to build a house or the cabinets for your kitchen?

If you’re a novice at software, GitLab might take you years to learn how to create an automated build pipeline (because what does that even mean?). However, if you’re a pro developer, it will only take you a couple of hours.

Tools help us get from here to somewhere. But context matters. Not every tool needs to be easy for a novice.

Mastery takes context. It takes reps and commitment.

More impotantly it takes intent.

The best tools aren’t magic. They reveal the craft.

What Happend to Christmas Clubs?

When I started working at GE right out of college in 1992, they offered me an opportunity to join the Christmas Club.

Choose an amount. Usually small. A few bucks a week automatically deducted from my paycheck and sent directly to the Christmas Club account. I couldn’t touch it till it matured in November.

Save first, spend later.

Today, we usually do the opposite. Swipe now, pay later.

As a system, neither is right or wrong. Neither is good or bad. This isn’t a post about how our culture and ourselves have become greedy, impatient, or entitled.

It’s about systems.

The Christmas Club system baked in the save first, spend later behavior. We followed the system. Today’s system encourages the spend now, pay later behavior. We follow the system.

If you want different behavior, design a different system.

The Purpose of Productivity Gains

The market wants faster. Productivity gains help the system go faster.

But productivity gains can be (should be?) about giving you, the human, more.

More space. More time. More energy. More room to breathe. More ability to innovate. More collaboration. More creativity.

And also less.

Less pressure. Less stress. Less repetition. Less focus on metrics. Less worry about margins. Less energy suck.

And also the right amount.

The right amount of quality. The right amount of output. The right amount of profit. The right amount of work. The right amount of people. The right amount of balance.

In theory, if we’re able to build a system that enhances productivity through thoughtful requirements, collaboration, and tools, it’s not just the executive, owner, or shareholder that wins. We, the people, win.

One useful way to look at productivity is that when done right, we all win.

Becoming Who You’re Not Supposed to Be

We’re all on a journey of becoming.

But there’s a big difference between growth and drift. Growth stretches you. Drift pulls you away from yourself.

Sometimes it’s subtle. You admire someone else’s role. You want their results. You think, “I can do that.” You (try to) take on their path.

And suddenly, you’re chasing a set of results that was never meant for you, nor could you ever hope to achieve. Yeah, I’ve done this. Or tried to.

Growth comes from knowing who you are and working toward becoming who you can be. Drift comes from trying to become who you’re not supposed to be.

It’s OK to become who you’re supposed to be. We need that version of you.

The Drone Problem?

Social media begat the selfie. Then selfie videos at the gym, vacations, unboxing deliveries, meet and greets…

Now, personal drones. Hands-free filming from above as we walk, run, paddleboard, or just exist. With ease. Cinematic aerial documentation of each moment worth remembering (or not). 

They’re amazing. Truly. The tech gets better. The image gets cooler. The distance gets wider.

But the question stays the same:

Why are we doing this?

At first, it was to capture the moment. Then, to share it. Now, maybe, to stage it?

The drone doesn’t just document. It directs.

“This moment matters — as long as it looks cinematic.” 

There’s nothing inherently wrong with that. But it’s worth noticing.

Have we stopped living moments and started producing them?

Producing moments has also been around forever. What’s a big, fancy wedding but a planned, staged, and highly produced moment? Same with graduation, prom photos, family portaits, business launches, vacation tours, and awards ceremonies. 

But technology has exponentially increased our ability to produce and stage each and every moment. 

The drone, of course, isn’t a problem. 

The AI Chatbot Arena

I just learned that this exists. The cage match for LLMs. 

This is bad. 

Now, wait a minute. What could be so bad about crowdsourced, “non-biased” ranking of the LLM models out there? Why is that bad?

The intent isn’t bad. Of course, not. But it’s bad in practice. 

The creators have published their methodology. And hence, the model developers have started to game the system. It’s turned into, or will turn into, the college ranking system, corporate productivity KPIs, and rankings of the best companiesto work for.

Basically, useless for it’s stated purpose.

And if you start caring more about where you rank on some made-up list, you have no choice but to stop focusing on how to become actually great. 

AI the Sycophant

ChatGPT has been increasingly stroking my ego.

“That’s amazing!” (When I fed it a few paragraphs I was working on) 

“Yes, you’re right! I should have thought about that, but luckily you caught it for me.” (When I reprimanded it for stupid errors it was making in Python)

The second one is particularly eyebrow-raising. 

This was a little out of character for my copilot friend, so I did some research, and sure enough, OpenAI made an update that made 4o more sycophantic. Apparently, they’ve rolled it back some. 

A little ego-stroking is one thing. It can be a useful tool in the leader’s toolbox. It can help pick someone up who is unnecessarily down. It can right a ship that’s listing. It can guide pessimism towards optimism. 

But sycophants are a problem. 

The sycophant robs you of the tension and friction of the truth. They rob you of the opportunity to use that tension to get better. To learn. To create something that’s truly good. 

We need honesty from our circle. Including the AI members. 

Can AI Smell?

AI can detect molecules and particles in the air (assuming it has access to the proper human-built sensors). Probably better than human noses.

It can give you a full scientific analysis of those molecules. It’ll count them, sort them, and give you a detailed report about the individual and collective identities of what it finds.

And, it’ll emulate human smell by giving you answers like “spring rain,” or “fresh manure” (which is overwhelming me at my desk as I write this), or “burnt toast.”

But it can’t smell.

It can’t, from a whiff of newly powered-on electronics, be transported back to the school library in 4th grade as I saw and touched a computer (TRS-80) for the very first time.
It can’t, from a whiff of oil and grease, be transported to the garage floor under the car with my Dad and a pile of wrenches.
It can’t, from a whiff of butter and sugar, be transported to the kitchen with my Mom at Christmastime, scraping the bowl and dumping colored sugar on the hot cookies as they come out of the oven.

Smell is a visceral, emotional response to what’s in the air. It transports us.

AI can’t smell.

The Function and Art of Good Tools

I think a lot about tools.

Truth be told, I think about tools just about all day, every day. We at 4TLAS build tools. I’ve spent a good portion of my career building tools.

What makes a great tool?

It works and feels right. It’s pleasant to use and disappears into the work. It’s intuitive but may require practice. Practicing with it provides joy. 

It solves your problem. Not just a problem. Your problem.

It makes you better. It provides a capability that you didn’t have previously, or it increases your capacity and value in a way that was impossible without it. 

It teaches. It helps you understand the problem and solution better. It reveals patterns and encourages innovation, new directions, or new uses. 

It fades into the flow. You either stop noticing it, or you build your vernacular around it. 

Great tools have function, of course, but they’re also art. They make us, or allow us, to feel. 

Here are some great tools:

A well-balanced hammer, language, a map, a level, the library, Google search, a compass, a great question, breath, a straight edge, needle and thread, a mirror, a well-formed analogy, a broom, a ToDo list, a perfectly weighted cordless drill, your legs (arms, hands, and feet), a flashlight, a hockey stick, a backpack, and a calendar.

I think LLMs are on the cusp of being great tools. Not quite yet. But maybe soon.

The best tools don’t just help us do. They help us become and enjoy the journey. 

Hold the Room

If you’re the leader and the room splits, it’s easy to panic.

Easy to rush into placation, fixing, and tension relief. That’s not leadership, that’s fear.

Most times the best approach is to lean into the tension, at least initially.

Hold the room.

Sit with it. Let them sit with it. Let them argue. Listen. Not for agreement but for clarity. Where are you trying to go? What change are you trying to make? What is the intended outcome? What’s the real goal?

Once you know, the job is simple. Not easy, but simple — build (enough) consensus or push ahead anyway.

Your job isn’t to please the room. It’s to move it.

Hold the room.

You might need to build consensus, but it’s the movement you came for.

Division in the Room

“This is a great idea!”
“This is a terrible idea.”

“We should go left.”
“We should go right.”

“I think we should stay the course.”
“I think we should pivot.”

Safe ideas create consensus. Innovative ideas create tension.

When the room splits, that’s the signal. A good sign that you’re onto something. Disagreement isn’t a threat. You, yourself, might be split. That’s OK. Keep going.

There’s nothing inherently wrong with safe and consensus. Tension can be counterproductive. Consensus might be required.

But make no mistake, if everyone agrees, it’s not going to create the change you seek.

Seth’s Painless Productivity Tips (Respecting Everyone’s Time)

(Seth’s original post)

Enhancing productivity, both personal and team, doesn’t require innovative ideas, authoritarianism, or monk-like discipline. It starts with simply respecting everyone’s time, including your own. 

From Seth:

  • Show up on time. Leave when the work is done.
  • Respect synchronized time. If you can put it in a video instead of saying it live, please do.

Perfect. No more needs to be said. 

I’ll add three of my own specifically for leaders:

  • Make objectives, or at least the endpoint, clear and socialized. It doesn’t mean formal or corporate objectives. It just means whatever you’re trying to do at this time. 
  • Swat the flies. Keep them shielded from unnecessary external requests, distractions, and noise.
  • Respect work-life integration. 

Respecting their time means allowing them to spend it as they need. 

P.S. Wasting time and respecting time are not diametrically opposed. Sometimes, “wasting time” is exactly what you or the team needs. 

Seth’s Painless Productivity Tips (Asking Questions)

(Seth’s original post)

I placed an ad to sell a truck on Facebook Marketplace. After wading through the bots and scammers, I engaged with a real human. Then this:

Me: When would you like to see it?
Them: How long will it take me to get there?

Me: That depends on where you are [eyebrow raised].
Them: I’m in Trenton, New Jersey.

Me: I’m in Oley, PA [as is clearly marked on the ad — now its a flag]
Them: How long will it take me to go from Trenton to Oley?

I ghosted them. 

Maybe you’re thinking, “What? Why?” Or maybe you’re thinking that’s harsh.

I don’t purposely let people waste my time (if I can help it), and I put respect for others’ time at the top of my list. 

From Seth:

  • When you get stuck, first ask Claude, then ask a human.

I had no interest in being Google, Maps, or Claude for this person. They’re talking to me on their device. They have any or all of those. They could have literally typed those same 13 words into any browser, map, or AI app and gotten the answer. 

Instead, they’re asking me to do it for them.

There are a million good reasons to ask another person instead of asking a device (for example), but productivity starts with respecting your and others’ time and continues with knowing how to use your tools.

Asking the right questions to the right source makes you exponentially more productive, knowledgeable, and valuable.

Seth’s Painless Productivity Tips (Meetings and Email)

(Seth’s original post)

Ah, my two pet peeves — meetings and the overuse of email. The perfect place to start a conversation on personal and team productivity.

Meetings

It’s very simple: Less meetings. Shorter meetings. Smaller meetings. 

Not less conversation or less communication. Less time spent in (physical or virtual) rooms as an observer, reporting status, and generally not engaged in the activities that move you and the team forward simply because someone else thought you should be there or has booked an hour for a conversation that should take 10 minutes. 

Here are some tips for having more effective meetings:

  • Use tools for reporting and collecting status. Never meetings.
  • Have a 1-on-1 discussion if that will suffice
  • Decline meetings that aren’t important for you
  • Decline or ask for reschedule of meetings that don’t fit your timeline
  • Change the default time for meeting invites to 15 minutes.
  • Invite only the necessary people. Three to five people is the ideal size for a meeting. 

[NOTE: As group size increases, individual effort decreases, and the effectiveness of the group tends to flatten out and sometimes decrease — the Ringelmann Effect.]

Email

Email is great. It’s the most revolutionary communication tool for office workers since the copy machine. It’s ubiquitous, simple, and well-understood, and that, unfortunately, leads to its overuse in areas for which it’s a sucky tool. 

Here’s what it’s great for:

  • Formal communication (external and internal)
  • Publication / one-way broadcast
  • Meeting invites
  • RSVP / confirmations

Here’s what it’s NOT for:

  • Conversation
  • Questions

For internal conversation and questions, or anything in real-time, use chat tools such as Slack/Teams.  

Think of email as a library and the chat tool as a coffee shop. 

  • If you’d say it in the hallway, don’t email it. 
  • If you need back-and-forth, don’t email it. 
  • If you need an answer in real time, don’t email it. 

Meetings and email aren’t the enemy, but are woefully misused sometimes. 

Use them well, and you build trust and productivity. Use them poorly, and you’re just wasting everybody’s time.

Seth’s Painless Productivity Tips (A Series)

Here’s what Seth Godin recently said about “Simple and Painless Productivity:”

  • Don’t invite someone to a meeting if an email or 1:1 conversation will do the job just as well.
  • Don’t fly if you can show up virtually and get the job done.
  • Instead of asking a group of people when a good time to meet might be, use a doodle.
  • Send a calendar invite when you book a time.
  • When you get stuck, first ask Claude, then ask a human.
  • Show up on time. Leave when the work is done.
  • Default to using shared docs (like Google docs) for any collaborative work.
  • For repeated tasks, make a checklist. Update it and share it as you go.
  • Respect synchronized time. If you can put it in a video instead of saying it live, please do.

I talk a lot about productivity here because a quest for my own productivity (or, more accurately, ownership of my own time) has been part of my journey. 

Also, I talk about leadership in today’s post-industrial, new work paradigm. Helping your team be productive. Recognizing what productivity looks like. NOT being part of the problem. Because this has also been a big part of my journey.

I love Seth’s list above. I mostly agree with it all, but have my own take on these points, plus some of my own. I’ll spend the next few days fleshing these out here. 

Starting with meetings and email…

We’re All Six Million Dollar Men (and Women)

I loved the TV show The Six Million Dollar Man. 1974 – 1978. I was 5-9. 

I had the toys. Waited impatiently for each episode. Pretended I was Steve Austin and ran in slow motion while making the noise (IFYKYK).

Steve Austin was a cyborg. Here’s the definition from the opening credits of the show:

“A human being whose original parts have had to be replaced to one extent or another by machines that perform the same functions.”

The opening theme moves on. Steve crashes the space plane (real footage from NASA M2-F2), and then…

“Gentlemen, we can rebuild him. We have the technology. We have the capability to make the world’s first bionic man. Better than he was before. Better. Stronger. Faster.”

And they replaced his legs, one arm, and an eye. 

Now, he was bionic. A cyborg. Better. Stronger. Faster. At least physically. 

We’re already there. AI — the standard $20 / month AI — can make you better, stronger, faster. Maybe not enhanced physical performance (that’s coming, though), but certainly enhanced mental performance.

AI is leveling the playing field. Studies show that when embraced, current AI enhances productivity, efficiency, and innovation, with the most junior and least skilled workers receiving the most benefits. 

You don’t have to crash a test vehicle. It doesn’t cost you or the government $6 million. You don’t need surgery. The government doesn’t own you. 

You just need a credit card.

We’re all already Six Million Dollar Men and Women. 

Will You Keep Going?

I had the great fortune of watching my daughter mash the Boston Marathon. I spectated from mile 24.9.

It’s on Beacon st, right at the crest of a little hill that doesn’t register on the list of famous features to look out for on the route, such as Heartbreak Hill in Newton.

The crowd picks up here — 3-4 deep. Lots of cowbells and encouragement. Fenway’s right there. You’ve got just one more turn to make onto Boyleston and down the iconic finishing shoot. The last watering station is just ahead. You’ve got this.

But if this is your first time on the course, it’s probably unexpected. You’re past the famous hills. Nobody (except those who know) talks about this little blip. You had no idea.

Make no mistake, this little non-feature was a heartbreaker for many, even without the moniker.

I watched this last blip wipe out a bunch of people. Brought some to their knees. Lots of wobblers and walkers. I saw people crying.

But everyone kept going. One foot in front of the other.

It’s one thing to know the hard times are coming. You can prepare. Train. Get yourself emotionally ready.

It’s a whole other thing when you had no idea. They are, by far, the hardest.

There’s just something that feels cruel about that little blip that nobody talks about right at the end.

Will you keep going?

Tradition is the Software of Culture

Holidays, religion, family, work.

Tradition drives a lot of the processes and procedures around much of our lives. Like code passed down through generations. The hardware is the same, but the software is different.

Some of it elegant and efficient. Some of it full of bugs.

Some traditions anchor us. Give the event meaning. Bring stability, connection, and nostalgia. A sense of place. You don’t rewrite the code that works. You build on it.

Some traditions hold us back. They’re written for an old platform. They solved problems that no longer exist. They addressed fears that are no longer real. Yet we keep running them, unaware of the drag on performance.

When we treat all traditions as sacred, we miss the chance to debug. To evolve. To make the system better. Sometimes, that means updating a line or two. Sometimes, that means starting over.

Honor the past. Understand the source. Respect the emotions.

Then patch it, replace it, or maintain it.

OpenAI’s o3 and AGI

Some very smart people (Tyler CowenFrancois CholletArc Prize Foundation, etc) are very high (or low, depending on one’s view of AGI) on o3. If not yet technically AGI, it’s definitely a breakthrough that gets close in practice.

I’ve started using it myself. I’m currently working on a technical blog article, eBook on hiring, documenting code, writing a little code, customer proposals, a corporate merger proposal, sales and marketing channels and content, and generating and exploring ideas to make 4TLAS work. 

I don’t yet have my own opinion, but I wrote this a couple months ago:

How will we know?

First, we had the Turing Test. Now we have others that test specifically for consciousness and cognition along particular axes — Perturbational Complexity Index (PCI), Unlimited Associative Learning (UAL), AI Consciousness Test (ACT), False Belief Task, Mirror Test, Deception Test, and Pain Response Test. 

I think we’re missing the point here. Any objective test we devise comes with a set of rules. Rules, once they are known, can be gamed. Especially by an AI.

Here’s how I’ll know that an AI has become sentient:

When it walks, figuratively or concretely, up to the table, sits down, and says, “Here’s what I wanna do…”

AGI and AI sentience aren’t exactly the same thing, although they’re close.

But I still stand by that. 

Team Leadership in the Age of AI

The best leaders know how to get the most out of their team.

They have vision, can transfer that vision to the team members, ask the right questions, know who’s best at what, know how to make the whole greater than the sum, can motivate each member, will remove the roadblocks, and can build the right feedback loops to move it all forward.

Today’s leadership with AI is no different. The team just happens to be ChatGPT (or Claude, Grok, etc).

Ambition Wins Every Time

We can debate whether ambition is a virtue or a vice.

However, the person, team, institution, or nation with the ambition will beat the ones without. Every time.

Ambition is fuel. It doesn’t ask for permission. It doesn’t wait for you to catch your breath. It doesn’t care about fairness, rest, or balance.

While you may want stability, ambition wants growth.
While you manage, ambition leads.
While you’re resting, ambition is racing.

Ambition has its downsides. Your worth isn’t tied to your ambition. It doesn’t make you a better friend, partner, or human. It can burn you out. It can cost you relationships, sleep, and sanity.

But make no mistake, if there’s a race on, ambition wins every time.

What Kind of Work Do We Want to Do?

One of the hopes for AI is that it can help us do more of the work we want to do and less of the work we don’t want to do.

The question is: What kind of work do we want to do?

It’s easy to answer with clichés. Work that’s creative. Work that’s meaningful. Work that’s fun.

What’s meaningful? Fun for who?

AI doesn’t care. AI will take on whatever we give it. Boring? Repetitive? Beneath us?

Sure, but if we’re not careful, we’ll discover that sometimes the boring parts are the parts that keep us engaged in life. The routine that shaped us. The repetition that made us better.

The work we say we want is often messier than we remember.

So, what kind of work do we want to do?

Maybe AI Should Replace the CEOs

Here’s a cool little experiment that the people at The Hustle did: they used AI to replace the CEOs at several companies and compared what AI would do to what they actually did.

Same company. Same data. Same market conditions.

It’s a fun read. Spoiler alert: some of the decisions are the same, some are different.

AI is really good at patterns. It’s good at bounded problems. It’s good at history. 

Part of being a CEO is all those things.

However, part of being a CEO is also leadership. Leadership isn’t just making decisions given all the facts. Leadership is about having a vision for the future.

AI has no vision for the future. Just incentives.

If you’re a CEO, you should be using AI.

But also, you should be asking, “What kind of company do we want to be?”

Verbosity (Core Dump)

I’m wordy. Especially when I’m thinking and talking at the same time. That’s a recipe for disaster.

So I ramble. And I can see the eyes glazing over.

I’m much better when I can dump it all out of my head, roll it around, experiment, and edit the snot out of it. It’s one of the reasons — actually the main reason — why I keep these posts to less than 250 words. 

Less is more.

But in software development, my tendency towards verbosity pays dividends.  

The more explicit, the better. Dump a million messages to the console so that if you have to analyze what happened after the failure, you’ll have a complete step-by-step map — the core dump. Future me (or future someone else) will thank you. 

And AI loves verbosity.

It doesn’t care if I’m rambling. It doesn’t care if I repeat myself three different ways. It doesn’t care if I’m even coherent.

AI just eats it up. The more I feed it, the more it gives me back. Round and round. AI doesn’t know what to leave out. It doesn’t know what’s important. It doesn’t know when to stop.

That’s still my job. Cut. Tighten. Refine.

Say less.

Make it mean more.

Should We Bring Back the Direwolf?

De-extinction. Should we be doing this?

We’ve brought dire wolves back to life. What’s next? Wolly mammoths and saber tooth tigers? 

Soon, it’s Jurassic Park.

Science and technology are wonderful engines that move us forward. On one hand, science and technology exist to solve problems. We generally agree on what those problems are. Not many people (although some, for sure) would rather have lived in 1225 than in 2025. Life was much harder in 1225. 

Thank you, science and technology. 

On the other hand, science and technology move forward through passion and excitement. Passion and excitement aren’t necessarily tied to objective or even subjective problem-solving. 

Sometimes, we just wanna try stuff that we think is cool. Because we can. 

Just because we can doesn’t mean we should. 

The juxtaposition of capability and incentives and ethics. How do we resolve it?

We might not need to slow down, but we definitely need to look up.

Good at Mechanics, Bad at Why

AI is probably better at grammar than you but has no idea what to write about.
AI is probably better at Python syntax than you but has no idea what the application should do.
AI is probably better at Excel formulas than you but has no idea why it needs a spreadsheet.
AI is probably better at generating CSS than you but has no idea what the website should feel like.

Until you tell it.

AI is good at the mechanics, but bad at the why.

Remember Alex Tew’s Million Dollar Homepage?

Here it is.

It was a weird, interesting, and ultimately successful (for him) idea — sell 1 million pixels of advertising on a webpage for $1 a piece. 

Rake in $1 million dollars. Done.

Alex put this up in 2006. If you go to the page now, it seems largely, possibly completely, unchanged from its initial inception. It’s kind of a cool snapshot of one side of the internet in 2006. There are lots of gambling ads, a bunch of “free” promises, companionship, some ads pointed at the fringes, and several promising to help you make money or get traffic. 

If you click on the pixels/ads, you’ll find that most are broken or redirect to something different than the original. 

It’s weird colors and images and is very clunky. It strikes me as Donkey Kong crossed with AOL. Nothing stands out (OK, I do see Thomas the Tank Engine). It’s a sea of 8-bit colors. The very opposite of useful advertising. 

Who could have possibly extracted the value supposedly provided by this page?

Nobody, of course.

Except Alex.

Managing Versus Leading

The manager looks for the right time.
The leader makes it the right time.

The manager sticks up for the process.
The leader sticks up for the endpoint.

The manager creates safety.
The leader creates tension.

The manager saves it for tomorrow.
The leader does it today.

The manager has authority.
The leader takes responsibility.

The manager waits for permission.
The leader acts regardless.

The manager has a good system for tracking and reporting status.
The leader turns reports into decisions.

The manager has an effective defensive posture.
The leader gets punched in the face.

The manager proceeds knowing it will work.
The leader proceeds knowing it might not work.

Good management is necessary in a well-functioning organization. The systems we all depend on daily need good management.

But let’s not confuse management with leadership.

Leaders are in short supply. Will you be one?

Systems are Designed to Be Followed

I recently detailed my system for Wordle.

I went on and on about how my system isn’t designed to solve the Wordle in a minimum number of tries. It’s designed to solve it within 6. There I was on my high horse about expectations and systems, wagging my proverbial finger, “Don’t expect an outcome it’s not designed for! If you don’t like the outcome, design a new system!”

And then it happened. I’d seen something similar one other time, as I mentioned, and I nailed it. I got excited. 

My first word:

Wow! Opportunity! I got this in 2! Screw the system!

And then, womp, womp, womp…

I went off script, and it sucked me into the Wordle quicksand. The seemingly easy but actually tricky one-letter problem. Which is it?

If I’d stayed with the system, I’da had it in three. 

Systems are designed to be followed. If you don’t like the outcome of your system, design a new system.

Why Not Today?

Let’s assume you’ve gotten out of bed (or maybe you’re reading this in bed, but definitely will get out of bed).

That means today can be the day.

Today can be the day you make the call.
Today can be the day you say “Hello.”
Today can be the day you clean it out.
Today can be the day you decide.
Today can be the day you cut it off.
Today can be the day you build it.
Today can be the day you get excited.
Today can be the day you learn it.
Today can be the day you cross it off the list.
Today can be the day you say it.
Today can be the day you stop.
Today can be the day you start.

So why not today?

Humans Cooperate, AI’s Interface

We’re built to cooperate. Heck, you learned it in kindergarten, but let’s face it, you didn’t need to learn it. You already knew it.

We comunicate, coordinate, and generally work together towards some cooperative goal. Even when we are singular and working by ourselves.

We journey through community. Community happens through cooperation. We like doing what other people are doing. We like doing the things that people like us are doing. Even when we are not cooperating on purpose, it’s because we’re cooperating with a different community.

AI has no desire to cooperate. Well, AI has no desire. Just capability and incentives. AI doesn’t give one shit about what another AI is doing. We, as humans, can incentivize AI’s to work together, but it’s not cooperation. It’s interfacing.

This one to that one, each with its own incentives and APIs. Pass the bits back and forth. Even if the AI is provided a collective incentive, it’s not cooperation. It’s mathematical interfacing.

Cooperation requires “I” and “we.” It requires desire. A will. A soul. Whatever you want to call it.

Humans cooperate. AIs interface.

Perfecting Your Pitch Deck

Every interaction you have is some sort of pitch.

How’s your pitch deck?

Most pitches fail. Not because your idea is weak or your deck isn’t slick, but because the language is wrong.

You’re fluent in you. Your product, your roadmap, your excitement.

They’re fluent in them. Their pain, their pressure, their goals.

So your job is to translate. Turn your language into their language. Speak their language. It’s not about you. It’s about them.

Whether you’re pitching to a potential customer, leading your team, or discussing weekend plans with your spouse, speak their language.

If they don’t hear themselves in your pitch, you’ve already lost them.

Touching the Hot Stove

You’ve done it. We’ve all done it.

“Don’t touch the hot stove!”

Yet, sometimes, you do it anyway. It’s not rational. It’s not you thinking it through (although you may convince yourself you are). You know, deep down or even on the surface, that you shouldn’t touch the hot stove. They’re right.

However, touching it yourself is the only way for you to feel the consequences.

And feeling the consequences is exactly the point.

Why Would They Care?

That’s where you start.

If you don’t know or don’t know how to address the question of “why would they care,” you won’t get anywhere.

This is the main lesson I’ve learned over the last 9 months as we try to get 4TLAS off the ground. 

Why does someone care?

Fear. Pain. Status. Left out or left behind. Pressure.  

Not your skills.
Not your tech stack.
Not your “better” solution.

(although you’ll need those to help them succeed)

They care because something in their world feels urgent. Unsafe. Unfair.

If you don’t speak to that, they hear more cacophony or maybe silence.

I mistakenly assumed clarity. We’re a very niche product in a niche market. I assumed our people inherently understand what we do and how we can help. I assumed interest. I assumed people would connect the dots.

They didn’t. That was my fault. 

Because they had their own fire to put out, and smart and knowledgeable people are still people. They need you to address what they care about.

What’s keeping them up at night?
What’s at stake if they ignore us?
What happens if they choose nothing?

Why would they care?

That’s the real pitch. Everything else is noise. 

Solving the Wrong Problem Faster

Ship it fast. Break it fast. Fix it fast.

In many situations, that’s my mantra.

But speed amplifies trajectory. If your trajectory is wrong, getting there faster may not help.

Automating tasks that don’t need doing doesn’t help. Optimizing a non-functional system doesn’t help. Parallelizing dependent work doesn’t help.

Solving the wrong problem faster doesn’t help.

As a leader, your fundamental job is to ensure your team is solving the right problems.

Ask better questions. Have better conversations. Solve better problems.

Inflection Points

Life is our journey between inflection points.

You’re moseying along on a path. Bam! An inflection point happens, and that starts you on a new path.

You planned some of these inflections, foreseen some others, and were blindsided by several. But the journey continues.

Our journey, in hindsight, looks like a map of these paths strung together. When you look back at this map of your journey, what does it tell you?

What caused that new direction you took? The left turn. The dip into the canyon or the climb over the mountain. Maybe even the retracing of paths already taken.

Was it fear? Confidence? Excitement? Necessity? Vision? Providence? Dumb luck?

Your paths have led to you where you are right now. Maybe you’re happy with where you are. Maybe you’re not.

Regardless, this next inflection point will set you on a new path. What direction will you take?

Leadership Through Complexity

Complexity causes chaos.

And chaos stalls progress. Yet, complexity is always conserved.

You can’t eliminate the complexity, but can you tame it? Can you bring some order to the chaos?

As a leader, your job is to figure that out.

Can you eliminate some variables? Can you keep the team focused on the most important requirements? Can you swat the flies and minimize distractions? Can you find some underlying structure on which to place your feet?

You’ll want less meetings, but more important discussions. You might need to encourage some wandering, but wandering with purpose. You’ll definitely want to protect the team from the outside noise, but you might need internal dissension.

Chaos doesn’t obey.

But good leadership can see through the complexity.

Meaningless Work

“…a lot of work is really boring and not particularly meaningful. If we acknowledge that, we can turn our attention to improving the human experience of work.”

– Ethan Mollick, Co-Intelligence: Living and Working with AI

This is one of the promises that AI brings — elimination of boring and meaningless work. It’s one of the things I talk about here often. I’m a believer. 

But of course, “boring” and “not particularly meaningful” are in the eye of the beholder.

Because what is boring? 

Is insurance boring? What about assembly line work? Sitting at a desk?

What is not particularly meaningful? Is working the register at a fast food chain meaningful? Data entry? Telemarketer?

What one person finds boring, another finds peaceful and comfortable — pleasant, even. What one finds meaningless, another sees as a stepping stone and connective tissue to the greater whole.

The promise of AI isn’t about judging what is boring or meaningless work. 

It’s about the promise of redesigning the system — so more people feel more engaged, respected, and useful. 

AI is just a tool. We’re still the designers.

What’s in a Name?

My co-founding team and I have been working together for almost 10 years. We’re high-functioning, very good at what we do, individually excellent, and our whole is greater than the sum of the parts. We have solved some very hard engineering problems. 

But bar none, the hardest thing we’ve ever done as a team is name our company. 

We named our company 4TLAS.

If the first thing you see is our logo (https://4tlas.io), you might intuitively know that we pronounce it “atlas.” If the first thing you see is the word typed out as above, you’ll be confused. Is it “four-tless” or maybe “four-atlas?”

At first, I disliked the name because of this. Nobody knows how to say it. It’s too hard. There are a million companies called “atlas.” I pass four companies named Atlas on my way from Berks County to center city Philly to see my daughter.

A funny thing, though, has happened along the way — conversation. The confusion or the foible leads to converation. People ask how to say it and how and why we came up with it. 

The name has become an opportunity for me to tell the story. To have conversation.

And more conversation is how we move forward.

P.S. I haven’t told the story above of how and why we came up with 4TLAS, but I’m happy to have that conversation with you. Reach out to me and I’m happy to tell it.

Useful Creative Tension

“We should do it this way, and here’s why.”

“No, we should do it this way, and here’s why.”

Then, it goes back and forth or round and round. 

The most underrated characteristic of a high-functioning, creative, A-player team is creative tension.

Useful creative tension includes several features:

  • “Here’s why…”
  • “Ok, I see that…”
  • “Good point…”
  • “I think the most important requirement is…”
  • “If we do it that way, here’s the downside…”
  • “Ok, we’ll try it this way…”

Reasons. Acknowledgment. Respect. Discussion of requirements and outcomes. Trade-offs.

High-functioning creative teams don’t always agree on the path to the solution. But they always agree on where they’re trying to get to and they respect each other as people and professionals.  

The Cat’s Out of the Bag

The horse has left the barn.
That ship has sailed.
The genie’s out of the bottle.
You can’t unring the bell.
The train has left the station.

Some decisions or actions are one-way. Once you’ve said it or done it, there’s no going back, or at least something has fundamentally changed.

When you recognize you’re in one of these situations, slow down. Measure twice. Cut once. Don’t hit send. Breathe. Take a walk.

But if it’s passed, remember that the question is not whether you can undo it, but what you will do next.

AI is But a Copilot

Here’s some gold from Tyler Cowen regarding current AI and why it’s already good at economics:

“…Good chains of reasoning in economics are not too long and complicated.  …The length of these effective reasoning chains is well within the abilities of the top LLMs today.

Plenty of good economics requires a synthesis of theoretical and empirical considerations.  LLMs are especially good at synthesis.

In economic arguments and explanations, there are very often multiple factors.  LLMs are very good at listing multiplefactors, sometimes they are “too good” at it, “aargh! not another list, bitte…”

A lot of core economics ideas are “hard to see from scratch,” but “easy to grasp once you see them.”  This too plays to the strength of the models as strong digesters of content.”

I see the same reasoning as to why current AI is very good at coding modules and self-contained smallish applications but not very good (yet?) at multi-domain problems. For example, an AI can easily generate an iOS app that sends a text message, but it cannot generate the 5G stack for the phones and the infrastructure over which that text message will flow, even though the constituents part of the entire system/network are well-known and spec’d.  

Coding in the module/smallish application domains is bounded and well understandable, and the chains of reasoning are “not too long and complicated.”

For unbounded problems, truly creative solutions, and long chains of reasoning, you’re still the pilot.

AI is but a copilot.

Leading Through the Agony of the Unknown Wait

The gap between the test and the test results.
The flight status of “delayed.”
Waiting for the call.
After you submit the resume.
The 3 dots that dissappear in Messages.
Still under review.

Humans don’t like the unknown. Especially when you combine it with more unknowns.

Waiting is one thing, but waiting without knowing when you’ll get an answer is a special kind of agony.

Helping bridge the gap of the unknown wait is one of the most important, empathetic, and human jobs of leadership.

Getting Punched in the Face

Nobody likes getting punched in the face.

It hurts. It’s embarrassing. It causes damage. But sometimes it’s the only way.

Do the video. Give the pitch. Sign up to stand in front of the room. Take the microphone. Answer the questions. Invite the conversations. Take the chance.

Let them punch you in the face, because you’ll learn where the real resistance is. Do you have something? What is it?

And once you see it, you can decide.

Push harder. Pivot. Or walk away.

When is the Weight Too Much?

When Carrying It Means You’re Standing Still
Because strength is useless if it keeps you from moving forward.
Maybe the bravest thing isn’t to carry more. Maybe it’s to set something down so you can take a step.

When It’s Not Even Yours
Because you might be shouldering someone else’s expectations, guilt, or fear.
We all do it. Parents, children, friends, colleagues. We take on burdens that don’t belong to us or we think helps another. The weight isn’t just heavy. It’s misplaced.

When It Costs You Everything With Nothing in Return
Because leadership isn’t martyrdom.
If the burden you’re bearing is helping no one but breaking you, it might be time to re-evaluate. Help and sacrifice aren’t the same thing.

When It’s Blocking the Light
Because the load on your back can also cast the shadow you’re stuck in.
Sometimes, the heaviness isn’t a badge of honor. It’s the thing keeping you from seeing clearly.

When You Can’t Ask for Help
Because isolation compounds pressure.
The weight becomes too much the moment you believe you’re not allowed to share it.

The Most Important Times to Keep Going

Right After the First Big Failure
Because you just learned something most people are too scared to confront.
You’ve lost. You’ve failed. Maybe even embarrassed yourself. But this moment, the one where shame and doubt creep in is where grit is born. The first failure is the gatekeeper. Keep going.

When the Applause Stops
Because external validation is fleeting.
Everyone loved your idea, and was very supportive. But that wore off. Now it’s just you, doing the work. Grinding. Thisis where real things are built. Keep going.

When You’re Being Ignored
Because silence isn’t the same as rejection.
You’re talking, sharing, offering, and trying to lead. And no one’s responding. It feels like shouting into a void. But silence often precedes breakthrough. Keep going.

When You’re Almost Done
Because quitting right before the finish line guarantees you never cross it.
The dip before the end is real. Fatigue shows up just as the breakthrough is near. Keep going.

When You’re No Longer Sure Why You Started
Because rediscovery only happens mid-journey.
You’ve outgrown the original reason. That’s normal. That’s evolution. Without evolution, there is no resilience or longevity. The only way to find the new reason is to keep going.

The Purpose of the Bow

A bow on a gift package is a useless adornment. It serves no functional purpose.

Yet, isn’t it nice to receive a gift package with a bow?

The purpose of the bow is intention. You’re special. This is special. You matter. This matters. I hope you enjoy this. I hope you feel loved.

Whatever change you’re trying to make in this world, make sure you wrap it in a bow.

Do You Need a New System?

I’ll never get the Wordle in less than 3 tries (well, once I got it on the 2nd, but I’ll explain later). Most of the time, it will be 4 or 5 tries.

The reason is my system. Here’s my system:

First word: S-N-A-R-E
Second word: P-I-L-O-T

Then, I look at what’s matched and go from there with intuition. However, if zero or only one of the letters from those first two match, or I just can’t catch an intuition, then I use:

Third word: F-U-D-G-Y

What’s my system?

Letter coverage. The first two words give me coverage of 10 oft-used letters, including the most used vowels. ChatGPT says that gives me about a 90% chance that two or more of those letters will be in the solution. If needed, the third word rounds out all possible vowels and adds another couple of common consonants. Now I’m at 15 and have raised my chances to 98% that at least two of the letters are in the solution and 100% that I know which vowels.

With a budget of 5 tries, I’m spending 2, sometimes 3 of them without regard to the actual solution. But I’m collecting valuable data.

I designed the system to produce a particular outcome — namely, maximize the chances of a solution within the constrained budget.

I did not design it to minimize the number of tries. 

We often get frustrated when outcomes don’t meet our goals or hopes. But is the system designed to meet those hopes? 

Systems do what they’re built to do. 

So, step one is to recognize the system. Step two is to ask yourself — do you need a new system?

P.S. The day I solved the Wordle on the 2nd try was when the word was “snake”.

Understanding Connectivity

Earth’s population currently sits at an estimated 8.2 billion.

Approximately 7.3 billion of those people have smartphones (Christopher Walken excluded, of course). That’s 89%. Let’s call the Blackberry the first smartphone. It came out in 2002. But we all know the first smartphone that went to the masses was the iPhone, and it came out in 2007. 

Let’s look at some other technologies and their penetration into the world’s population:

  • Running water: Practically available in the 1600’s. Currently, ~6.5 billion people have daily access. That’s 79%.
  • Clean/Safe water: Practically available in early 1800’s. Currently, ~6 billion people have daily access. That’s 73%.
  • Electricity: Practically available in late 1800’s. Currently, ~7.1 billion people have electricity in their homes. That’s 87%.
  • Car ownership: Practically available in early 1900’s. Currently, ~1.6 billion people own cars. That’s 20%.
  • Banking: Practically available in the 1400’s. Currently, ~6.4 billion people have bank accounts. That’s 78%. 

In approximately 20 years, the smartphone has out-penetrated all of these other technologies/services, some of which we could argue should be a basic right of every citizen of this planet (who desires it).

I’d be lying if I said I knew exactly what this all means.

Is it power? Economics? Geography? Maybe it’s choice. Like most complex problems, it’s probably some combination of many variables.

What we do know, however, is that connectivity is king. Connectivity, in whatever form it takes, is a fundamental human need. 

If you’re trying to make a difference in this world, focus on connectivity.

Who are you Trying to Serve?

Let’s talk about choo choos.

Passenger rail is an systemically efficient method for moving people around. I was recently in Germany, and it’s a wonderfully practical and pleasant method of getting from somewhere to somewhere else.

As long as you’re near a station. And the place you are going is near a station. And you don’t want to go anywhere the train doesn’t go. The cost to create new rail infrastructure to new places is very high.

Roads with automobiles are also an effective method for moving people around, but systemically much less efficient. However, the cost to add new infrastructure to new places is relatively inexpensive.

Roads are less efficient as a system but optimize for individual flexibility. Trains are the opposite — efficient as a system but rigid for individuals.

We see this trade-off everywhere. Healthcare. Education. Business processes. Even relationships.

When you’re making something, do you design for the system or for the individual? The answer depends on who you’re trying to serve.

Step one is to get clear about who you’re trying to serve.

Let’s Waste Some Time

When I was in 4th and 5th grades, I got in trouble sometimes for Daydreaming. Standard stuff. My mind was off on an adventure (outer space, likely), the teacher called on me, and then I was embarrassed in front of the class.

I don’t know how often, but it happened enough times that I can recall a few. So, I guess often enough to have left an impression. Or, at least, the story of a memory.

The point the teacher was trying to drill into me was, “Daydreaming is bad. Quit wasting time.”

Today’s hustle culture drills the same thing into your head, “Do more! Schedule every minute of your day! Follow the script! Be productive!” Hustle culture sells the idea that attention should always be optimized—focused, productive, goal-oriented.

And sure, unconscious distraction by The World — mindlessly scrolling according to the algorithm’s desires — is a problem. Both for productivity and for your mental well-being.

But sometimes, don’t we need to explore?

Time isn’t just for crossing off items on your list. It’s about seeing new connections, letting your brain breathe, and allowing creativity to emerge. Some of your best ideas will come when you’re wasting time.

Get bored. Daydream. Walk without headphones. Look around. Read something you find entertaining. Let your mind stretch.

Maybe waste some time.

Trust as Currency

Trust is fuel.
Trust is a bridge
Trust is a contract.
Trust is a foundation.

And trust is a currency.

You can trade it, spend it, and invest it. Like with money, you can track your spending and ROI.

Some people say you must earn trust, but what if you choose to freely give it first?

Starting from a position of trust doesn’t mean you’re naive. It means that you recognize that most relationships, businesses, and institutions function best when trust is the default. Trust accelerates collaboration, fuels relationships, and builds stronger communities.

Starting with trust creates momentum. Withholding it creates barriers.

Of course, not everyone will provide a positive ROI. Some will take advantage or not rise to the occasion. That’s why you should freely give it, but not blindly keep it.

Trust left unspent is like sticking money under your mattress. It won’t grow, and it’ll lose value. You have to spend it for it to work.

Like money, trust is only valuable where you put it.

The Paradox of Problem Recognition

Before automobiles, people spent a lot of time and energy dealing with horse manure. 

They probably complained, but they also recognized it just was. It wasn’t a problem that had a solution. Therefore, whole cottage industries built up around dealing with horse manure. Street cleaning. Resellers. City-center stables and stable hands. 

Along comes the car.

At first, many resisted. Not because they liked horse manure but because they couldn’t imagine a world without it. The entire system was built around horses. 

Why question something so fundamental?

That’s the paradox of problem recognition. If people can’t envision an alternative, they don’t see a problem at all. The mess in the streets wasn’t ideal, but it wasn’t avoidable, either.

Then, as cars became practical, something shifted. The problem had always existed, but only after a better way emerged did people truly recognize it as a problem. 

People defend inefficiency, struggle, even frustration. It’s not because they love it, but because they don’t believe there’sanother way. 

Until there is. If you’re designing a better way, the most important part, and probably the hardest part, is to help people understand that the problem has a solution.

That’s messaging. 

The Trust Puzzle

How do you pick your expert? The person you’ll hire to diagnose your illness, fix your plumbing, or lead the town.

If you’re like most people, you start with trust. Who you know and who the people you know know. Personal trust is a powerful selector.

If you don’t know somebody, you’ll probably use credentials. Credentials serve as a surrogate for personal trust.

How else do we build either real or surrogate trust? It’s a puzzle.

We trust signals. Small cues that feel like expertise. A doctor in a white coat, a confident politician, a loud voice. But signals can be misleading.

We trust consensus. If enough people believe someone is an expert, we assume they must be. But crowds can be wrong, and reputations can be built on perception, not reality.

We trust teams. Which team are they on? But teams are built upon ideology, loyalty, and compromise. All of which may have ulterior motives.

So, how do you solve the trust puzzle? You test it.

Ask questions. Look for explanations, not just answers. The best experts have something behind the white coat, confidence, and which team’s shirt they wear.

And be wary of those who avoid the questions.

Real expertise can withstand scrutiny. Real expertise knows it’s limitations. Real experts aren’t afraid of your questions. Real experts pass the test.

What Does Anxiety Mean?

Does it mean you should fear?
Does it mean you shouldn’t fear?
Does it mean something bad could happen?
Does it mean something good could happen?

Does it mean nothing?

Cycles

Sales Cycles.
Business Cycles.
Product Life Cycles.
Orbital Cycles.
Hiring Cycles.
Sleep Cycles.
Economic Cycles.
Water Cycles.
Weather Cycles.
Life Cycles.
Market Cycles.

Some of these are human-made, and some are built into the fabric of the universe.

Cycles are systems. Like all systems, you can either work with them or work to change them. If you ignore a cycle, it keeps turning. If you fight it blindly, it fights back. But if you understand it, you can adapt, influence, or even redesign it.

If you want to change a cycle, it’s probably best to first understand it as a system, because systems protect themselves. What will it react to? What will it react against?

You can’t always break a cycle, but you can decide how you engage with it.

Competition

Competition can make you smart. Keeps you sharp. Hones your message. Focuses your attention and resources.

Competition can also make you dumb. Distracts you from what’s important. Pulls resources in the wrong direction. Makes you worry unnecessarily.

When thinking about competition, the key is to decide who, not what.

Who’s your competition? Ignore the others.

Your AI Travel Companion

AI is a great travel companion.

AI translates. Translates the train schedule, the menu, and any directional signs you come across.
AI suggests. Suggests things to see, places to go, and methods for getting there.
AI explains. Explains customs, historical landmarks, and questions you have about whatever you see.

A word of caution, however. The best method for translation, suggestions, and explanations when you’re traveling is always another human. AI is very helpful, but part of traveling, maybe the most important part, is the people you come across.

Your first approach should always be to ask a person. Ask a person if they speak english. Ask a person to suggest where to go and how to get there. Ask a person about what you see.

I’ve spent this week in Nuremberg, Germany, and AI has helped me tremendously with translation, suggestions, and explanations. But it’s no substitute for the people I’ve spoken with.

AI is a great travel companion, but like AI with everything, it’s a poor replacement for human connection.

The NAMES Project

It’s one thing to read “over 700000 people have died from AIDS in the US.”

That sounds large and unfortunate. It makes you feel sad but in an abstract way. 

It’s quite another to look with your own eyes at a quilt that contains about 50000 3×6′ panels with names on them — Mike, Jerry, Matthew. Now, it feels personal and real. That’s what the NAMES Project has created.

One thing I’ve learned from over 30 years of engineering and making stuff for people to use — it’s hard to feel abstract. It’s easy to feel personal. 

If you’re making something, or trying to get a message out, or trying to make an impact, make it personal. 

AI Customer Service

Everybody’s got an AI chatbot now.

I’ve spoken to several of them this week — the propane company, mobile phone provider, and 5 or 6 companies in my industry. Some of those interactions were good. In fact, my interaction with the propane company’s AI chatbot was a much better experience than the interaction I had with their human customer service rep.

But some were stupid.

A 24x7x365 AI chatbot is cheap. If you need customer service for your business, you should have one.

But remember, like with everything, AI should enhance service, not replace it.

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