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.

August 16, 2026 2 minute read

AI and the Compounding of Ideas

There are two basic methods for generating compounding ideas.

One is personal. You start with one small idea.

“I want to make my own little app for tracking my To Do list.”

Start by creating the simplest version that serves the purpose, and play around with it. Fix this. Change that a little. Blue not green. Oh, add this. What if…

And if you keep going, repeating the build and use cycle, more and more ideas keep coming.

The ideas compound. But only if you start, build, test, and keep iterating.

AI enables this because it can be the builder. It takes away the difficulty of turning your idea into something concrete. And it can also accelerate it because of how easily it can generate iterations.

The other method requires humans.

This is the method that we’ve been using for thousands of years.

You have an idea, and you bring it to another, or several others. Each person brings their own perspective to the table, and that sparks their own ideas. So you discuss, argue, and iterate.

The ideas compound because of the varied perspectives built upon personal histories and values.

AI doesn’t really help us here. Sure, you can simulate the “discuss, argue, and iterate” loop by using the LLM as your team, but AI doesn’t have a perspective built on personal history. It has no viewpoint.

AI gives us a great new way to compound ideas through rapid iteration, but it can’t replace the human perspectives that have always made collaboration so valuable.

August 15, 2026 1 minute read

0% 50% 200%

Great article from Dan Shapiro.

OK, I admit I like it because it agrees with me (less with more plus.

0% — Status quo. Ignore. Don’t invest.

50% — More with less. Same targets. Enable your people. Cut some people. Cut costs.

200% — More with more. Double your targets. Launch your people. Expand your product line. Improve your quality. Get it done faster. Blow up the competition.

You might have some success with 50%, but at least one of your competitors has 200% in their sights. Who’s gonna win that battle?

More with more.

For all the fearmongering around AI, it’s the more-with-more crowd that will win.

Lean into 200%.

August 14, 2026 1 minute read

An Optimistic AI Future from Zuck

Throw a rock and you’ll hit a doomsday AI prediction.

Dario from Anthropic leads the fearmongering by basically telling everyone who’s just coming out of school or who works in a white-collar industry, “Hey, Claude’s gonna take your job. Sorry.”

Sam from OpenAI is less overt, and way more savvy (cagey?), but I think inside the OpenAI fortress of $100M engineers, he agrees.

You know me. I’m not a fearmonger. Also, I’m not closing my eyes to the reality that AI is and will continue to change how the workforce looks. AI has totally transformed how I do my work and how those on my team do their work.

But I’m an AI optimist.

And now so is Zuck.

Here’s the TL;DR:

Our AI future can be one where superintelligence is widely distributed and turns billions of people into more capable inventors, learners, and entrepreneurs. AI can make individuals dramatically more capable, rather than simply replace them.

To help usher that in, Meta will be open-sourcing their models and tools. More eyes. More ideas. More people. Less friction.

Kudos to Zuck.

I’m on board. I can’t wait for the future.

August 13, 2026 1 minute read

It’s Not You

If you hear that, assume it’s you.

Not because the person who said it is lying. They might be, but also, they might be completely sincere.

However, if you just assume it is you, then you can purposefully and definitively move on.

Go where you’re valued.

August 12, 2026 2 minute read

Self-Awareness

Who are you in the world of AI?

If AI can do what you do, you have two choices:

  1. Do it better.
  2. Do something else.

Right now we’re in a phase where people still want to do one because that’s what they know or have always done. And also, think they can indeed do it better.

It’s possible. Studies still show that AI can’t do it better than the very best humans (but not necessarily faster or cheaper) for now. This won’t last long, however. If you want it this way, you must lean into the art of what you do. Find the art. Master the art. Better is in the art.

Two is probably a better path for most of us.

Pick a trade or human-facing work, or there is plenty of work in genres that can’t or won’t lean into AI yet due to security or other concerns.

Another way is to recognize that AI will need a boss. It will always need a boss at some level. AI rewards people with ideas and the gumption to try stuff.

Figure out how to get AI working for you or you’ll be working for AI.

August 11, 2026 1 minute read

UFOs

The government just released more UFO files.

UFOs are fun, and I’ve been thinking about them since I was a kid.

If you don’t want to dive into all of the info, here’s a summary:

Yes, people really are seeing things.
No, we cannot identify all of them.
And no, we still do not have publicly verified alien spacecraft.

That’s all. This is just a UFO appreciation post.

August 10, 2026 1 minute read

Doing It or Helping You Do It

There’s a difference between when you hire someone to do the work for you and when you hire them to help you do the work.

“I’m looking for someone to build my detached garage.”

That’s different than, “I’m looking for someone who will dig and pour the foundation for the detached garage that I’m building.”

Your reasons might be cost, time, expertise, certifications, trust, design, or simply whether you want to do some or all of the project yourself. Regardless of your reasons, you think about the projects differently.

Currently, AI is better at helping you do the work.

But it’s getting closer to doing the work for you.

When you’re hiring AI, you must apply the same logic.

Are you hiring AI to do the work or help you do the work?

August 9, 2026 2 minute read

The New johnmaconline.com

If you’re reading this on johnmaconliine.com, you might notice that it looks very different from what it did a few days ago.

The redo is 100% Codex-developed. Not the content, of course, but the website itself.

I wrote zero lines of code. However, I went round and round with first GPT-5.5 and then Terra and Sol to make it what you see. My workflow was:

  1. Develop a documented plan — I did that by describing to Codex what my goals were in free-form text.
  2. As per the plan, developed a requirements document — I did that by listing out all of my known requirements and having Codex walk me through a Q&A to develop a fuller set.
  3. Fed the plan and requirements doc into Codex and asked it to develop a local prototype and test it. It built everything from the ground up and tested it (as best it knew how).
  4. Iterated on that local prototype with Codex for a couple weeks by giving it feedback such as “I don’t like the way the sidebar is ordered. Change it to…” and “Look at this screenshot (pasted screenshot). The title is in the wrong spot and the wrong size. Fix it.” and “Let’s try a different color scheme.”
  5. Once it looked OK, I had Codex publish it to v2.johnmaconline.com so I could test both the publishing automation to my host (I currently use Bluehost) and all the functionality, such as email subscription, search, stats, etc.
  6. Iterated for a couple more weeks with Codex to get all of the functionality correct.
  7. The last step before publishing live was to have Codex develop automation that could “undo” the publishing of the new site. I wanted a failsafe so that if I published and it fell on its face, I could immediately restore the “v1” version.
  8. When I was satisfied it all worked, I told Codex to go ahead and publish.

That’s the new software development paradigm with AI.

As developers, we’re no longer writing code. We’re guiding and directing the agent to do it. I’m in charge of requirements, how it’s architected and implemented, and ensuring it meets the requirements. It’s in charge of syntax.

This isn’t “vibecoding.” This is pro software development.

I’m a pro, and my AI agent is a pro.

Welcome to the new johnmaconline.

August 8, 2026 2 minute read

The Distraction of Effort

We often think about work to be done from the standpoint of how hard it will be, and we usually equate how hard it will be to how many hours it will take, either to do the work or to become the expert.

Our industrial complex for the last couple hundred years has taught the average worker to think about their worth in terms of how much effort and time.

I get paid $X per hour, therefore, this is what it’s — and I’m — worth.

But in reality, the purchaser of the work doesn’t care about how hard it will be or how many hours it will take you. We care about the outcome.

If you’re paying someone to dig a ditch, you don’t care about how many rocks they’ll have to deal with. You care that when they’re done, you have a ditch.

If you’re paying someone to teach your children Algebra, you don’t care about the behavior they’ll have to manage. You care that when they’re done, your children understand Algebra.

If you’re paying an accountant to do your taxes, you don’t care about the nuances of the tax system they’ll need to know. You care that when they’re done, your taxes are filed correctly.

The effort required is a distraction when the outcome matters.

Doctor’s don’t deserve to get paid more because of the 12 years of schooling and residency they’ve put in. They deserve to get paid more when they’ve saved or enhanced a life.

When you’re deciding how much you’re worth, don’t get distracted by the effort required.

August 7, 2026 1 minute read

Eyes on the Prize

When you’re keeping the spinning plates from falling, it’s hard to keep your eyes on the prize.

But wait, what is the prize?

Because your prize might not be your colleague’s prize, or the media’s prize, or your neighbor’s prize. Many will try to distract you so you care about their prize.

Always know your prize so you can keep your eyes on it.

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