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Historic Bentley

The Deep Cost of Perpetual Optimization

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The Deep Cost of Perpetual Optimization

My left hand keeps catching the lip of the desk, the cheap laminate peeling just enough to snag the edge of a notebook I’m always moving-a constant, minor physical interruption that I’ve tried to engineer out of my workspace for three years now. I sanded it once, the repair lasted exactly 45 days. I taped it. The tape lasted 105 days. I even moved the entire setup 5 times, believing the desk itself was the problem.

This small, annoying piece of broken laminate, this physical friction, is a metaphor I’m currently failing to ignore. It’s what we do with every imperfect system in our lives: we try to optimize the annoyance away. We search, relentlessly, for the perfect tool, the perfect hack, the perfect 5-step process that eliminates effort and ensures smooth, frictionless delivery of whatever it is we’re trying to produce-content, commerce, connection. We hate the catch, the snag, the moment of resistance.

The fundamental frustration isn’t the inefficiency itself, it’s the belief-the absolute, unwavering delusion-that peak productivity or true creative flow is possible only when all resistance has been vaporized. We spend $575 on courses and software designed to streamline the 235 tasks we have on our plates, convinced that if the system is perfect, the results will follow.

The Engine Seizes

And this is where the engine seizes. The relentless pursuit of optimization is not efficiency; it is the most sophisticated form of creative procrastination known to the digital age. It’s easier to spend eight hours configuring the perfect dashboard than it is to spend one hour creating something messy, unoptimized, and real. If the system is never finished, you never have to face the output.

The Sterile Community

I’ve watched this play out in the most unexpected arenas. Take Iris L.-A., for example. She runs the moderation for a massive livestream community, arguably one of the most high-pressure, high-volume real-time management jobs imaginable. Her goal, obviously, is total optimization: fast response times, automated flagging, seamless transitions between segments. She lives by the clock, ensuring the 1,945 people watching don’t melt down the chat in a rush of chaos.

When I first spoke to her, she showed me her setup. It was exquisite. Multiple monitors, custom macros, AI-driven sentiment analysis running across everything. She was proudest of the predictive ban algorithm-a system that, based on keyword frequency and user history, could freeze a potential troublemaker for 15 minutes before they ever sent the offending message. Pure optimization. Pure frictionlessness.

“

The chat, when perfectly moderated, started to feel sterile. Predictable. The community feedback wasn’t that the system failed; the feedback was that the community was bored. The lack of friction meant the spontaneous, sometimes risky, sometimes weird, interactions that created genuine internal mythology had vanished.

But then she confessed the problem. The system was too perfect. The predictability dulled the experience for the casual viewers, and crucially, for Iris herself. She had optimized the heart out of the engagement. It stopped being a live event and started feeling like a moderated broadcast.

Management vs. Creation

I realized that what Iris was managing wasn’t just comment flow; it was tension and release. She was managing the creative inventory of community energy. In the world of commerce, managing inventory, even digital inventory, requires a specific kind of management discipline. If you’re dealing with high-volume tasks, whether it’s coordinating live moderation protocols or managing listings for resale, you eventually look to tools to handle the bulk work. You need a system to prevent errors and reduce manual input, which is sensible. A few people I know who manage massive digital marketplaces rely heavily on Closet Assistant just to keep the sheer volume of items and listings manageable without losing track of pricing data or inventory states. The mistake is confusing *management* with *creation*. Management removes error. Creation thrives on error.

Iris had to intentionally inject inefficiency back into the system. She disabled the predictive ban for 75 minutes of every 205-minute stream. She created specific, highly visible *gaps* in her own control. The results were immediate: spikes in engagement, renewed internal jokes, and yes, a definite spike in the number of actual bans she had to administer manually during that 75-minute window. It was messier, requiring real, human judgment under pressure, but it produced texture.

Optimized State

Smooth

No Grip

+

Injected Inefficiency

Texture

Grip/Memory

And that’s the deep meaning: Friction is texture. It is the grit that allows you to feel the surface. It’s why we remember a difficult conversation far more vividly than we remember five pleasant but forgettable ones. The optimized path smooths out the surface until everything feels like polished glass-beautiful, fast, but offering no grip, no memory point.

The Aikido Move: Delivery vs. Discovery

I’m not advocating for incompetence. I’m not saying we should ditch spreadsheets or stop backing up our data. That would be foolish and needlessly painful. The aikido move here-the ‘yes, and’ limitation-is acknowledging that technical efficiency is necessary for delivery, but creative inefficiency is mandatory for discovery.

The Valuable Flaw

I remember making a completely accidental mistake three weeks ago. I was pretending to understand a joke someone made about database normalization, nodding along earnestly, and later tried to implement a system based on my garbled interpretation. It failed spectacularly, but in the ensuing debugging session, I stumbled across a configuration that was horribly inefficient for its original purpose but opened up a completely new, far more interesting creative path for data visualization. My flawed understanding led to friction, and that friction led to originality.

We must become conscious of the deliberate choice to allow resistance. Where are you intentionally leaving the laminate peeling? Where are you letting the process take 35% longer because the physical engagement or the mental struggle embeds the information deeper?

“

I tried, for a long time, to find the single, perfect font for all my work, believing consistency was the key to authority. Now I use three, sometimes four, depending on the mood… It adds unnecessary complexity to the workflow. But the small, deliberate cognitive load of making that choice, that tiny point of friction, ensures I’m actually present when I start writing.

This is relevant now more than ever because true human value in a highly automated world is defined by things that cannot be optimized away. The hesitation, the contradiction, the specific, unnecessary detail, the tangent that took four sentences to connect back but gave you a moment to breathe-these are the markers of a soul at the keyboard, not an algorithm. If everything you produce feels perfectly optimized, the market will eventually ask why they shouldn’t just buy the cheaper, faster AI version.

👽

The Unoptimizable Marker

The hesitation, the contradiction, the specific, unnecessary detail… these are the markers of a soul at the keyboard, not an algorithm.

We have to stop treating friction like a defect. We have to start treating it like the defining characteristic of originality. Because the memory is not stored in the system; the memory is stored in the struggle.

Optimization kills the friction necessary for memory.

So, what are you refusing to automate this week, not out of laziness, but out of a desperate need to feel the grit?

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