How do you protect your creative headspace when everybody seems to have an opinion about how you should write? In this episode, you’ll learn how to separate valuable criticism from noise, spot when imagined judgment is starting to steer your work, and decide who actually deserves influence over your creative process.

What this episode is about

You can disagree with everything a platform is doing and still have your subscribers, income, archive, and professional network sitting on it. Leaving is an option. Staying is also an option. But staying doesn't mean accepting every feature or treating a tech company's business strategy as a moral instruction for your creative life.

In this episode

Why we need to stop reacting to each new feature as if it came from a literary friend who knows us personally. Karen Hao's Empire of AI and the competitive pressure driving companies to push costs onto workers, artists, and anyone whose data helps build the systems. My theory, labeled clearly as a theory, that distinctively human content is becoming more valuable precisely as it becomes harder to identify. Six boundaries worth setting: your process, scanning, your archive, direct access to your audience, unpaid platform labor, and knowing in advance what would make you leave. Plus recent research showing that AI accusations track social gatekeeping more than they track actual AI use, which means writing badly on purpose will not save you.

HumanPrint homework

Write your platform terms. Pick the platform where you publish or build professional relationships and answer five questions: What does it genuinely give me? What do I give back in work, attention, data, and revenue? Which parts of my process stay private? What do I need to export or protect somewhere I control? And what specific change would make me leave? Then take one action this week. Download your archive, export your contacts, update your site, or write your private AI-use boundaries.

What this episode is about

Spotting AI writing has become an internet sport. Someone sees an em dash or a tidy structure and starts a forensic investigation from the comments section, and now the platforms have handed everyone official tools to do it. This episode is about why "I can always tell" is almost never true, and why turning readers into unpaid AI investigators is a bad trade for everyone including the people who think they're winning.

In this episode

Why "seems like AI slop" is a process accusation, not a quality judgment, and what happens to actual criticism when we stop asking whether the argument held up. Three possible motives behind these features: money, engagement, and data. Substack's Pangram partnership sitting alongside its MCP connection that lets publication owners pipe their data into ChatGPT and Claude. Why human fingers on a keyboard are not an ethical standard. And the movement from statistical estimate to moral verdict, which is where the real damage happens.

HumanPrint homework

For one week, refuse to play AI detective. Don't scan anybody's work, don't accuse a writer, and don't use "sounds like AI" as your explanation for why something didn't land. Name the actual issue instead. Was the language generic? Was the argument unsupported? Was the story missing? Be specific. And notice what the platform is asking you to report, label, and classify on its behalf. You don't work for the detection department.

What this episode is about

Substack just partnered with Pangram to let readers scan your posts and get a percentage estimate of how much was human-written. LinkedIn added a "Seems like AI slop" report button. So your options are now: submit to the scan, explain yourself in advance, or turn the scanner off and let strangers decide what that means. No thank you. Your creative process is yours before it's anybody else's information.

In this episode

Why a percentage assigned to finished text can't reconstruct the process that made it, and why even a detector with a very low error rate can't measure how much the writer actually thought. The phrase "outsourcing your thinking" and why nobody has agreed on where that line sits. Socrates in the Phaedrus, where an Egyptian king argues that writing itself will destroy memory and give people the appearance of wisdom without the real thing. Henry James dictating to a typist, Mark Twain's typewritten manuscript, George R. R. Martin still working in WordStar on a DOS machine. What twenty-five years of ghostwriting taught me about human assistance in writing, and why the presence of a human doesn't settle the ethical question either.

HumanPrint homework

Make a private process map for one piece of writing. Trace it from first idea to publication, including every tool, person, conversation, draft, AI interaction, and decision you can remember. Then mark three things: where you did your most important thinking, where a tool or person genuinely helped, and where you gave away a decision you should have made. Don't build this map to disclose it. Build it so nobody else can define your process for you.

What this episode is about

WHY gives your writing fuel. HOW gives it a voice. WHAT is where most people lose the thread, chasing trends and algorithms instead of their own curiosity. My own interests - mapping human writing voices, the history of innovation, combinatorial creativity, scoliosis research - don't share one clean underlying question. I don't think they need to.

In this episode

The difference between stated preferences and revealed preferences, and why "my audience wants this" is a claim worth interrogating. My own scaling era, where I followed other people's formulas and ended up making work I didn't recognize. Why a book works like a science experiment - a question, an exploration, a conclusion that often just produces better questions. How my voice-intelligence system came out of decades of ghostwriting colliding with a master's program in measurement and psychometrics.

HumanPrint homework

Build a curiosity map. Blank page, every subject you return to voluntarily, nothing crossed off for being too small or strange. Draw the connections. Pick one that surprises you and write a page about it without touching Gen AI. Only then bring Gen AI in for structural supplementation and then decide for yourself what actually belongs.

What this episode is about

Every time another "how to spot AI writing" post shows up, my response is the same: how do I know YOU wrote it? Before you accuse anyone else of using Gen AI, can you actually name what makes your own writing recognizably yours? Spotting Gen AI is the easy part. Spotting yourself is the harder, more useful one.

In this episode

The three places voice actually lives: rhythm, story, and humor. Staccato versus legato, and why removing every phrase you think sounds like AI doesn't automatically leave you with a self. What happened the first time I asked an early chatbot to write for me, and why I was the part that disappeared. The line between decorating a house you designed and moving into one you had no hand in building. Why reader rapport, even a little of it, belongs in almost every book, nonfiction included.

HumanPrint homework

Pick three pieces of writing from before you used Gen AI heavily, ones that still sound like you. Read them out loud. Make three columns: rhythm, story, humor. Then pick something you wrote recently and compare it. Don't go looking for proof Gen AI wrote it. Go looking for proof you did.

What this episode is about

I started writing at seven and spent most of my childhood thinking of it as a talent, not a compulsion. Then a life-and-death medical situation sent me into nursing instead, and it wasn't until I came back to writing years later, through screenwriting, that I understood the difference. Talent can sit on a shelf. Identity follows you around whether you feed it or not.

In this episode

Why the writers who finish are the ones with a non-negotiable reason, and the ones who quit at the first believable exit usually never had real fuel to begin with. The difference between building the museum and building the gift shop, and why so many authors try to build the gift shop first. My own stretch of trying to write like a scaling business, complete with funnels and free downloads and marketing videos I couldn't watch back. Why your why doesn't have to be one sentence carved in stone, and can change by project. What structural supplementation means, and why Gen AI can help you organize your reason but can't hand you one.

HumanPrint homework

For one week, keep two running notes. In the first, write down every idea that gives you energy, curiosity, or a genuine pull to explore it. In the second, write down every task you think you should do… the ones you feel obligated toward. Then look at the language you used in each. That's the beginning of finding your fuel.