Categories
Storytelling Writing

The Craft in the Work: A Reading Guide to Ten Storytellers

There’s a kind of reading that’s really a form of listening — not to what a writer is saying but to how they’re solving a problem. Every great piece of nonfiction is an argument about structure, and most writers never explain it aloud. The argument is in the choices: where the piece starts, when it digresses, what it leaves out, how it ends. You can enjoy the work without seeing any of this. But once you start seeing it, you can’t stop — and eventually, some of it becomes yours.

This guide is for both kinds of reading. Each writer here is worth your time as a reader. Each one also has something specific and stealable for anyone who writes. I’ve tried to name both.

The ten: John McPhee, Robert Caro, John Jeremiah Sullivan, Michael Lewis, Joan Didion, David Grann, Sam Anderson, Susan Orlean, Tom Junod, and Wright Thompson. Different registers, different obsessions, different methods. What they share is a commitment to making difficult things feel inevitable — and the discipline to make that look effortless.

They fall into three loose clusters, which might help you find your entry point. Structure builders — McPhee, Caro, Grann — write pieces that feel inevitable because the architecture is invisible but load-bearing. Emotional access — Orlean, Junod, Thompson — get you inside feeling before you know you’re there. Voice and form — Didion, Sullivan, Lewis, Anderson — the sentence, the digression, the explanatory seduction, the essay as genuine inquiry. The clusters overlap, and the best writers in each group are doing all three things at once. But if you’re trying to solve a specific problem in your own writing, the clusters tell you where to look first.

Continue reading “The Craft in the Work: A Reading Guide to Ten Storytellers”
Categories
Dayton Ohio History Memories

The Weight of What Arrived

The first thing you noticed was the smell. Hot metal and oil and something older underneath — not unpleasant, exactly, more like the smell of a thing that knew what it was doing. Dayton Typographic Service on a Saturday morning. Dad already at his machine, pencil tucked over his ear, fingers moving. I was four or five. I had no idea what I was looking at. That was most of the point.

A Linotype machine is the size of a small car and louder than you expect. It sets type by casting individual lines in molten lead — hence the name, line o’ type — and the whole apparatus runs hot, always, a controlled furnace at the center of the work. The operators moved around it with the casual authority of men who understood something dangerous well enough not to fear it. Dad was one of those men. He knew what he was doing with his hands, and watching him work was the first time I understood that intelligence could live in the body, not just the mind. The pencil over the ear was the tell. He was always thinking ahead of his hands.

We lived on Burleigh Avenue in a two-bedroom ranch so small the rooms felt like suggestions. There was a garage out back on the alleyway. The basement held more than you’d expect. The furnace, coal-fed, which Dad stoked every morning before the rest of us were awake — that heat, the warmth that was simply there when I came downstairs, was something he had made. He tended it the same way he tended the Linotype: with patience, with knowledge, with hands that knew the work.

But there was also the kiln. My folks did ceramics, and in a corner of that basement sat the kiln they fired their pieces in. To check the temperature you pulled out a cone — a small pyramidal piece of clay engineered to droop at a specific heat — and peered in at it through the door. I remember doing this, leaning in toward that rectangle of orange light, the blast of heat against my face, checking whether the cone had begun to bend. It was one of my earliest understandings that transformation was not instantaneous. You watched for it. You waited for the material to tell you.

There are men like that in every generation and then one generation there aren’t. They knew how things worked because they had no choice but to know. The furnace would not stoke itself. The type would not set itself. The knowledge was not academic. It lived in the hands or it didn’t live at all.

Union Station was only a few miles from Burleigh Avenue but it existed at a different scale entirely. You went through the main doors and there was a model railroad in the lobby — an elaborate layout, HO scale or maybe O scale, I was too young to know the difference — and sometimes they had it running, the little locomotives making their rounds through their little landscape, and I would stand there watching it with the focused attention that children bring to things they love. I did not know then that I was watching a miniature version of what was waiting upstairs.

The aunts and uncles came from New Jersey on the Pennsylvania Railroad. The Spirit of St. Louis, which ran between New York and St. Louis and stopped at Dayton’s Union Station, was a name that meant something to me before I fully understood what a railroad was. What I understood was this: when they came, they brought TastyKakes.

If you didn’t grow up in the Mid-Atlantic corridor you may not know TastyKakes, which is a condition I regard with sympathy. They are small cakes, individually wrapped, and they came in a cardboard box, and my aunts and uncles carried them off the train the way travelers have always carried the irreplaceable things of home. The Pennsylvania Railroad as delivery mechanism for Butterscotch Krimpets. The whole industrial apparatus of American locomotion bent toward that purpose.

But first there was the platform, and the waiting, and then the thing you felt before you heard it and heard before you saw it. The locomotive did not arrive so much as it asserted itself. The platform shook. The air changed. There was a sound that was also a pressure, a physical fact you received in your chest and your feet simultaneously, and then the engine was there, enormous, indifferent to its own enormity, trailing steam. Nothing I have encountered since has prepared me for anything the way that prepared me for everything. The world, it turned out, contained forces at that scale. It was useful to know.

My aunts and uncles stepped down onto the platform and there were embraces and the good confusion of arrival, and eventually the box of TastyKakes changed hands, and we drove back to the small house on Burleigh Avenue where Dad had been up since before dawn making sure it was warm.

I think about scale a lot now. The furnace that heated two bedrooms. The kiln glowing orange in the basement corner. The Linotype casting its lines of lead. The locomotive making the platform tremble. They were all of a piece — a world in which the forces that ran your life were large and hot and loud and present, operated by people who understood them through their hands. You could go see them. You could stand close enough to feel the heat, smell it, watch it do its work on the material.

Dad is gone now. Union Station is gone — demolished in 1976, replaced by a parking structure. The Linotype machines are in museums, or they’re not anywhere. The coal furnace was replaced by something cleaner and quieter and invisible.

I don’t know what my children will remember. I hope it has weight.

Categories
AI Silicon Valley Technology

The View from the Edge

“Living on the edge” usually means you’re taking risks. One of the guests on the More or Less podcast used it the other way: as a diagnosis. A description of people who’ve lost their depth perception.

From where they sit, it looks like everyone is moving. The feeds are full of demos. The group chats debate which model won the week. Colleagues are building agents that book their dentist appointments and summarize their email while they sleep. David Sparks is selling a Robot Assistant Field Guide. The frontier feels like the present tense — not where things are heading, but where things already are.

When everyone around you has already crossed a threshold, you stop being able to see the threshold. You mistake the edge for the center.

The primary point — that the tech community wildly overestimates how much ordinary people want AI in their lives — lands harder when you hold it against that image. It’s not that the industry is wrong about the technology. It’s that it has miscalibrated the desire. Most people aren’t trying to optimize their Tuesday. They’re just trying to get through it. An always-on personal agent isn’t a solution to a problem they’re carrying.

Think about the woman in the Safeway parking lot, sitting in her car for three minutes before going in, scrolling back through her texts to find the thing her husband asked her to pick up. Egg product and cheddar cheese. She finds it, pockets her phone, and goes inside. The whole problem — the forgetting, the retrieval, the solution — lasted less time than it takes to read about it. She didn’t need an agent. She needed three minutes and a text thread she already had.

The edge distorts in a specific way: it makes appetite look like inevitability. From out there, adoption feels like a question of when, not whether. But whether is a real question. Most technology that could be woven into daily life never is — not because people couldn’t learn it, but because they didn’t want what it offered badly enough to bother.

The view from the edge is intoxicating. Everything looks like signal. But the middle is where most people live, and from there the signal looks a lot more like noise.

Which is why WWDC matters more than any model release this year. Apple doesn’t sell to people living on the edge. It sells to people who just want their phone to work. If Apple makes AI invisible enough — tucked into the camera, the keyboard, the thing that finds your photos — it stops being something you adopt and becomes something you already have. That’s a different motion entirely. Not convincing people they want AI. Delivering it before the question occurs to them.

Whether Apple can actually pull that off is a separate argument. But the watershed, if it comes, won’t look like a frontier crossing. It’ll look like a Tuesday that went slightly smoother than usual. Most people won’t even notice the edge they just walked past.

We will find out in a week or so.

Categories
Friends Gratitude Kindness Living

The One Thing Money Doesn’t Buy

Somewhere there is a couch that launched a hedge fund.

It belonged to a man named Carter, and for the better part of a year it was where Dan Loeb slept while he figured out what came next. No office. No fund. No Third Point. Just a friend’s apartment and the specific grace of someone who didn’t need you to have already become something before they let you in the door.

When Loeb finally landed at Jefferies, Carter gave him a few hundred thousand dollars to manage. That became a million. The million became seed capital. Third Point was built on top of it — thirty years of it, billions of dollars of it — and all of it traces back, in some straight unbroken line, to a couch and a person who said yes before the evidence was in.

Patrick O’Shaughnessy asked him about it near the end of a long conversation. The kindest thing anyone has ever done for you — it’s the question O’Shaughnessy always asks, and it always cuts through. Loeb had just finished making a case for kindness as a serious value, not a soft one. Something that belongs at the top of the hierarchy, he said, next to honesty and intelligence. The mechanism that unlocks empathy. He noted, almost reluctantly, that it also compounds in business — before adding that the moment you start treating it as an investment, you’ve already lost the thread.

Then he quoted Palmer Luckey.

The one thing money doesn’t buy you is friends that believed in you when you had nothing.

Luckey built Oculus in his parents’ garage. Sold it for two billion. Founded Anduril. He has spent his adult life proving that if you are relentless and strange and right, you can make almost anything happen with money. And what he noticed, somewhere in all of that, is where money stops. Not at luxury. Not at access. It stops at loyalty that predates your success. You cannot purchase the memory of Carter’s couch. You cannot acquire, at any price, the specific knowledge that someone held you when you were nothing yet.

I have been thinking about the people in my own life who did some version of this. Not always with money. A call made on your behalf before you knew you needed it. A door held open to a room you couldn’t see. These moments are nearly invisible when they happen. They only become legible later, once the room turns out to matter — once you can look back and trace the line.

The line is always shorter than you think. And it always ends at a person.

Categories
AI

The Coach Who Wouldn’t Change

In 1975, a twenty-four-year-old Kodak engineer named Steve Sasson built the first digital camera. It was the size of a toaster, captured a black-and-white image at 0.01 megapixels, and took twenty-three seconds to record a single photograph to a cassette tape. Sasson showed it to his managers. Their response, as he later recalled, was essentially: that’s cute, but don’t tell anyone about it.

Kodak was not a stupid company. It was a dominant one. At its peak it held 90 percent of the American film market and 85 percent of camera sales. Film was not just a product line — it was the entire economic architecture of the company. Processing fees, paper, chemicals, the retail relationships built around the assumption that photographs needed to be developed. Digital threatened all of it simultaneously. So Kodak did what dominant companies do when confronted with a threat they can’t absorb into the existing model: they managed it. They ran studies. They filed patents. They made incremental moves. They protected the thing that was working rather than building the thing that would work next.

Kodak filed for bankruptcy in 2012. The digital camera had been sitting in their own archives for thirty-seven years.

Nokia’s version of the same story has a different texture. Where Kodak’s failure was about protecting a margin, Nokia’s was about identity. Through the 1990s and into the early 2000s, Nokia was mobile phones — not a major player, but the category itself. At its peak it held over 40 percent of the global handset market. The company had navigated a remarkable transformation earlier in its history, shedding paper mills and rubber boots to become a pure technology company. It knew how to change. It had done it before.

What it couldn’t do was change from a hardware company into a software one. When the iPhone arrived in 2007, Nokia’s internal assessments were, by most accounts, accurate. They understood the threat. They had touchscreen prototypes in development. What they couldn’t manage was the cultural distance between building phones that were superb physical objects — durable, reliable, made to exacting standards — and building phones that were primarily platforms for software that other people would write. The excellence that had made Nokia great was manufacturing excellence. The game was becoming something else, and manufacturing excellence was not only insufficient for the new game; it was actively in the way, because it oriented every decision toward the object rather than the experience.

Nokia’s market share collapsed from over 40 percent in 2007 to under 5 percent by 2013.

Andy Grove, who built Intel into the dominant force in semiconductors, called it plainly: only the paranoid survive. He meant it as a prescription. His successors treated it as a trophy.

Both stories have the clean shape of settled history. We know how they end. The verdict is in, the lesson is available, and it’s easy to read them now as cautionary tales about obvious mistakes made by people who should have known better.

This is the wrong way to read them.

Kodak and Nokia didn’t fail because they were blind. They failed because they were standing on a fulcrum — a moment when the old game and the new game were both plausibly real — and they chose the wrong side. At the time, that choice was not obviously wrong. Film was still enormously profitable. Nokia’s hardware was genuinely superior. The rational case for staying the course was real, and the people making it were not fools.

The reason the Kodak story is still told fifty years later is not that the mistake was obvious. It’s that it wasn’t — and they made it anyway.

Which brings us to now. Because there is a fulcrum in front of the enterprise software industry, and nobody knows yet which way it tips.

The companies in question — Salesforce, ServiceNow, and most of the SaaS category built over the last twenty years — were constructed on a simple and powerful premise: that businesses would pay recurring subscription fees for software that managed their customer relationships, their workflows, their data. The premise was correct. It produced some of the most durable businesses in the history of technology.

The threat AI poses to this model is not subtle. If an AI agent can handle a customer service interaction, manage a workflow, or synthesize a CRM record without a human touching licensed software to do it, then the per-seat subscription model — the economic engine underneath all of it — starts to look like film processing in 2003. Theoretically intact. Quietly at risk.

The responses of these companies have been instructive, and they’ve diverged.

Here is the honest position: we don’t know yet. The fulcrum is still in motion.

It’s possible that Salesforce’s Agentforce is the Kodak digital camera — the real thing, built by the right company, that gets buried under the weight of protecting what already works. It’s possible that the SaaS model is more durable than the threat suggests, that enterprises will pay for trusted platforms regardless of the underlying labor model, and that the companies racing hardest to cannibalize their own revenue streams are making a different kind of mistake. It’s possible that ServiceNow’s consistency is discipline, or that it’s the Nokia instinct to keep building the best version of the thing that used to win.

What the Kodak and Nokia stories actually teach — not the simplified version, but the harder one — is that the mistake is never visible in the moment it’s made. It only becomes visible later, when the fulcrum has tipped and the choice that was once defensible has become permanent.

The coach who wins five championships holds the philosophy and rotates the players. The coach who wins one holds the players and calls it philosophy.

The enterprise software companies standing at this moment have a version of the same decision. The ones who make it correctly will, in twenty years, be the ones we cite as examples of adaptation. The ones who don’t will be the ones we cite as examples of something else.

We just don’t know yet which is which. That’s not a comfortable place to stand. It is, however, exactly where we are.

Categories
Reading Writing

The Starting Five I Keep

On November 25, 1963, every journalist in America was at Arlington Cemetery covering the state funeral of John F. Kennedy. Jimmy Breslin went to find the grave digger.

His name was Clifton Pollard. He was paid $3.01 an hour. He had been called in on his day off because the foreman thought he was the best they had, and the foreman was right about that. Breslin spent the morning with him while the ceremony unfolded a few hundred yards away — the dignitaries, the riderless horse, the flag folded into a triangle and handed to a widow. Pollard ate a ham sandwich and kept working.

The piece Breslin filed that afternoon is still taught in journalism schools sixty years later. Not because it covered the funeral better than anyone else. Because it didn’t cover the funeral at all. It found the true subject by ignoring the announced one.

That instinct — turn away from the obvious, walk toward the unglamorous specific, trust that the universal is hiding there — is the one idea I’ve returned to more than any other. It shows up in two very different writers who occupy, in my mind, the same position on the roster.

Breslin got there through deadline fury and a saloon-bred instinct for where the real story was breathing. He didn’t theorize about it. He just did it, on a deadline, in a city that rewarded the loud and the fast. John McPhee got to the same place by an entirely different route: patience, structure, and a willingness to spend six months learning how canoes are made or what happens to a piece of shad on its way up the Delaware River. Breslin worked like a man catching a cab. McPhee worked like a man building a cathedral.

But the underlying claim is identical. If you stay with a specific, unglamorous subject long enough — if you resist the pull toward the obvious center — it will eventually yield something that couldn’t have been reached directly. Pollard and his shovel. The orange grower and his grove. The nuclear physicist who also happens to be a canoe builder. The method is the same. Look where no one else is looking. Wait longer than feels reasonable. Write what you find.

This is one player, really. Just wearing two different jerseys.

The second seat belongs to Wright Thompson — not a single book but a stance. The premise that the most revealing place in any story isn’t the event itself but the moment before and after it, when the subject is alone with something they haven’t yet put into words. Every piece in this tradition is quietly asking: what is this person carrying that they can’t say out loud? It’s a question that turns out to apply well beyond sportswriting. It applies to most things worth writing about.

The third is whatever the Apple design era taught about constraint and clarity. Not nostalgia — something more durable. The idea that removing something can be an act of confidence. That the most useful things often appear to be doing less than they are. This one surfaces constantly in writing, in argument, in the editing pass where you decide what the piece actually needs versus what it accumulated along the way. Features are easy to add. Knowing what to cut requires a different kind of certainty.

The fourth is the philosophy embedded in spaced repetition — not the algorithm but the claim underneath it. That knowledge you don’t revisit isn’t really yours. That understanding decays on a predictable schedule whether you acknowledge it or not. The honest response isn’t anxiety about this; it’s the habit of return. Going back to the same passage, the same idea, the same question on a different day, and finding it has changed — or finding that you have.

The fifth seat shifts. That’s probably the right design. Four constants and one that evolves is roughly the correct ratio for a starting lineup that has to play in different eras. Right now that seat belongs to the question of what AI does to a practiced human sensibility — whether it erodes it by substitution or clarifies it by contrast. Earlier it was held by a certain kind of systems thinking. Before that, something else. The player who earns that spot is always the one asking the question the current moment most needs answered.

The coach who wins five championships doesn’t do it with the same roster. But he does it with the same philosophy. The starting five aren’t the players who happened to be good once. They’re the ones who keep earning their minutes regardless of what the season throws at you.

Breslin knew where to find Clifton Pollard because he’d been looking in that direction his whole career. The skill wasn’t the story. The skill was knowing that the story was never where everyone else was standing.

That’s the one I keep coming back to.

Categories
AI Stanford

The Unit of Production Just Collapsed

The lecture was a Stanford CS session, AI-native companies, Garry Tan walking through what it now takes to build something. He’d rebuilt his old startup, Posterous, in five days on a modest Claude plan. A thing that once required a team and a runway. He said it matter-of-factly, the way you describe something that’s already obvious to you and hasn’t yet reached everyone else.

The argument Tan and his colleague Diana Hu were making wasn’t really about AI. It was about the economics of effort — specifically, what breaks when the cost of turning an idea into a working thing falls by an order of magnitude.

Their framing: AI-native organizations running as closed-loop systems, agents with access to the real artifacts of work, able to iterate without the error-accumulation that comes from handoffs and headcount. Revenue-per-employee ratios of a million dollars or more, with live examples already in the YC portfolio. Document processing, logistics, voice agents for specialized workflows.

What I kept hearing underneath all of it was a quieter claim: the mental model of what a startup requires is wrong.

Or rather, it’s right about the past and increasingly wrong about the present.

The assumptions embedded in “I can’t do this alone” or “we’d need to hire for that” or “we don’t have the bandwidth” — those are load-bearing assumptions, and the load is shifting.

I have some small version of this — not as a founder, but as someone who retired into curiosity. The blog, the reading, the daily effort to keep up with what’s moving: each one is a practice in staying oriented while the map keeps changing.

What I notice is that the constraint has shifted. It’s not information anymore. It’s not even tools. It’s the capacity to ask better questions of the abundance, to know what matters when everything is accelerating.

That’s the thing I find unsettling, yet also genuinely interesting: the skills that remain irreplaceable are the hardest ones to teach, and the hardest to evaluate in yourself. Knowing what matters. Recognizing when an output is almost right and almost wrong. Setting direction in ambiguous conditions and being willing to be wrong about it. These were always the valuable things. They were just obscured by all the coordination overhead that surrounded them.

The students in that Stanford course were asked to build something called a One-Person Frontier Lab — use the best available tools to extend your own reach over ten weeks. It’s framed as an academic exercise. It doesn’t feel like one.

But I’m not building. I’m mostly watching, and thinking about what this radical new fermentation does to everything downstream — to labor markets, to what a company even is, to how we’ll organize work and meaning when the old unit of production no longer applies. Those are slower questions. But they’re the ones that feel urgent to me.

The old excuses are getting lighter. Not that everything is possible — but that the weight of the usual constraints has changed.

What you choose to build, and whether you choose to build it at all, is more purely a decision than it used to be. That’s either clarifying or terrifying, depending on the day and my mood.

Categories
AI California San Francisco/California

Distant Billboards

Greg Isenberg came back from San Francisco with seventeen observations. The billboards advertising either B2B inference infrastructure or vertical agent companies, the seed rounds, the forward-deployed engineers, the founders showing each other their Obsidian vaults like athletes comparing gym routines.

He noted an important thing in observation fifteen, almost as an aside.

Walking around the Mission I noticed something: the street-level businesses, the taquerias, the barbershops, the laundromats — none of them use any AI at all.

Everett Rogers formalized the technology diffusion model in 1962. He was studying hybrid seed corn in Iowa. He noticed that the farmers who adopted early weren’t just better informed — they had different social networks, different relationships to risk, different orientations toward outside knowledge. The late adopters weren’t slower. They were operating from a different set of facts about what was safe to try.

Those AI billboards in SoMa are not visible in the Mission. That’s not metaphor. That’s just geography.

What strikes me about the taqueria is not that it’s behind. It’s that the conversation happening a mile away — about MCP endpoints and agent fleets — is not legible to it. The vocabulary doesn’t exist there yet. Nobody has sat across from the woman making carnitas for twenty years and said: here is what this could do for your ordering, your scheduling, your response to a customer who asks on Yelp at 11pm whether you’re open on Monday. One day her daughter or son might.

The builder class optimizes for the builder class. You build what you understand, for people whose problems you can see. The founders in SoMa understand each other’s problems with extraordinary precision.

The woman making carnitas has different problems — thinner margins, less access to capital, relationships built over decades that don’t easily transfer to a new system. Nobody is at the Series A meeting making the case that her problems are the interesting ones.

The historian of technology David Nye wrote about the “technological sublime” — the awe Americans felt in the nineteenth century standing before a great bridge or a locomotive or the first electrified city. The feeling was real. But the sublime is a view from a particular angle. The workers who built the bridge experienced something quite different. The families displaced by the railroad’s right-of-way experienced something different still.

The question isn’t whether the technology will eventually reach her. It will. The diffusion curve is patient. It likely will surprise.

The question is whether anyone is doing the translation work. The act of standing in a specific kind of life and asking: what would this actually change here? In the actual kitchen, on the actual Tuesday.

Isenberg noted that the coworking spaces in SF are half empty but the coffee shops are packed. People want to be around people.

The taqueria is also a place where people want to be around people. It has been that for a long time.

She’ll adapt. She’s been adapting for twenty years.

But that’s a very different story than the one being told in San Francisco on those billboards.

Categories
History Living

We Remember

Memorial Day 2026 – a reminder from Andy Rooney: “If you think the world is selfish and rotten, go to the [American] cemetery at Colleville-sur-Mer overlooking Omaha Beach—see what one group of men did for another on D-Day, June 6th, 1944.” (Garrett M. Graff, When the Sea Came Alive)

Carl J. Loftesness (1921-2010) Master Sergeant – US Army
Curtis H. Loftesness (1923-1975) Lieutenant Colonel – US Army

Categories
Dayton Ohio Memories

The Mirror and the Boxcar

When the plane started circling, I needed to disappear.

I was just goofing around on my own with an army surplus signaling mirror in our treeless backyard in Kettering. A thick piece of bright rectangular glass with an opening in the middle where light could shine through a cross. To signal you had to line up the light shining through with the opening.

Living close to Wright-Patterson, C-119 Flying Boxcars were a common sight. I could hear one coming before I could see it. I turned and scanned the sky. There it was.

Maybe this was worth a try. What did it even mean?

I held it up, aimed and hoped.

Then I saw it. The plane started a turn to the left. Uh oh.

I didn’t want to be reported. I ran into the woods behind our house. I watched and waited.

The circle completed. The boxcar flew on.

I walked back into the house and put the mirror back on the chest of drawers in my bedroom.

I never told anyone. Not even you.