The Box Was Never Built for You
Last week I wrote about em dashes. Specifically about why they are suddenly everywhere on social media and what that tells you about who actually wrote what you are reading. It was a piece about pattern recognition and about the gap between what the tool produces and what a human actually sounds like. I kept feeling like I was writing around something larger that I actually wanted to say directly. So let me say it.
The systems we live inside were not built for most of us. They were built by people with a particular kind of mind, optimized over decades for people who share that mind, and handed to everyone else with a set of instructions that assumed we were that person. When the system didn’t work for us, we were told the problem was us. Not enough focus. Not enough effort. Not a good fit. Doesn’t test well. Needs improvement. The instrument had spoken and the instrument was not wrong, because the instrument is never wrong. The instrument is the system and the system built the instrument and somewhere in that circle the human got lost.
I know this because I lived it. I know it because I watched my son live it. I know it because I spent fifteen years inside the education system trying to fix what I could see was broken from the inside, and I know it because I have watched the same dynamic play out in corporate training rooms, in performance reviews, in leadership structures, and now in the breathless rollout of AI tools to workforces that were never asked whether the tool fit how they actually think.
The details of my son’s story are his to own and he owns them proudly. What I will tell you is that he was reading before most kids his age had learned the alphabet, that he could name every state capital and find them on a map before kindergarten, and that as a pre-schooler, a formal assessment process determined he was not gifted enough to be identified as gifted because his pencil touched the lines of the maze while he was drawing the correct path through it. The answer was right. The instrument couldn’t see it. The institution accepted the instrument’s verdict.
That story is not unique. You probably have a version of it. Maybe it’s yours, the kid who understood everything in class but froze on tests. Maybe it’s someone you managed who could solve any problem in a conversation but couldn’t produce the quarterly report in the format the system required. Maybe it’s you sitting through the third mandatory corporate training this year that was designed for a completely different kind of learner and being quietly evaluated on how well you performed engagement with material that was never built for your brain.
The box is everywhere. It is in the test that measures intelligence with a pencil maze. It is in the performance review template that has no field for the kind of value you actually bring. It is in the AI rollout that gives everyone the same three prompts and calls it transformation. It is in every system that mistakes its own instrument for the truth about the humans passing through it.
The reason it keeps showing up is not malice. It is something more insidious and harder to fix than malice. Every system is designed by people whose own processing style felt universal to them, because it always does when it works for you. The people who built the assessment, the performance review template, the corporate training module, the call volume leaderboard, were all people the previous system worked for. They were selected by it, evaluated by it, and promoted through it. When it came time to build the next version they built the one that would have worked for them, which looked almost exactly like the one that already existed, with a new cover page and updated branding.
This is not a conspiracy. It is just what humans do when they cannot see outside their own experience of a thing. The fish does not know it is wet. The person the system was built for does not know the system was built for them specifically, because from the inside it just looks like how things work. And the person the system was not built for is told, often kindly and with genuine concern, that they need to work on fitting better.
That dynamic does not stay in schools. It follows us into every institution we build because we bring ourselves with us when we build things, our assumptions, our mental models, our unexamined definitions of what capability and intelligence and value actually look like. It is in the brokerage that measures success in call volume rather than relationship depth. It is in the company rolling out AI tools with a one size fits all training that was designed by the person who already understood the tool. It is in the meeting where someone presents information in the only format that has ever made sense to them and wonders why half the room looks blank.
This publication is about that gap. The gap between the map the system is using and the territory that actually exists, between the instrument and the person it was supposed to measure, between the box and everything it was never built to hold.
It will wander through education and technology and real estate and business and leadership and AI and whatever else is currently doing a beautiful job of missing the point about human potential. It will be specific and occasionally sarcastic and grounded in real experience rather than motivational abstraction. It will not tell you to find your passion or bet on yourself or embrace the journey. It will tell you the system has a design flaw, here is what it looks like, here is where you have seen it, and here is how some people have found their way around it anyway.
One more thing worth saying directly. I use AI to help me write and think and build. I also edit everything it produces because AI has tells, and one of the most reliable ones is the em dash I wrote an entire piece about last week. The irony of drafting a piece about human potential with a tool that keeps trying to flatten the voice into something generic is not lost on me. The tool is useful. The operator still has to process what comes out of it. That is true of AI and it is true of every system in this publication, and it is probably the most honest thing I can tell you about why I am here writing this.
That is what I am here to write. Stick around if that sounds like something worth reading.