Daily one-pagers about AI, leadership, technology, and being human.

johnmaconline

I'm writing to think, learn, and remember in public. I'll be here everyday.

July 24, 2025 2 minute read

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. 

July 23, 2025 2 minute read

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. 

July 22, 2025 2 minute read

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.

July 21, 2025 2 minute read

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? 

July 20, 2025 1 minute read

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.

July 19, 2025 2 minute read

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. 

July 18, 2025 2 minute read

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.

July 17, 2025 2 minute read

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.

July 16, 2025 2 minute read

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.

July 15, 2025 2 minute read

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.

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