HumanPrint: How to Use AI Without Losing Yourself

podcast artwork

Podcast by Christine "Ink" Whitmarsh

HumanPrint: How to Use AI Without Losing Yourself

Christine Whitmarsh's popular podcast Your Daily Writing Habit (nearly 1,600 episodes produced) was about helping writers build a writing practice. Now, she's back with a new show - HumanPrint: How to Use AI Without Losing Yourself. HumanPrint is about protecting that practice — and yourself — in a very different landscape. It's still the same thread: voice, language, identity, and the daily choices that shape who you are. I'm just picking it up with a new subplot woven in: AI. This is a practical thinking show for people who are open to using AI, maybe even excited by parts of it, but are not interested in disappearing into it. Each week, we'll look at one place where your human signal — your voice, judgment, identity, behavior, or self-authorship — is vulnerable to drift, and one way to protect it. AI is being pitched as the tool we need to survive, hanging over people like a sword waiting to fall. HumanPrint is about learning to wield the tool without becoming the tool.
Listen onApple Podcasts
Listen onPandora
Listen oniHeartRadio

Latest episodes

episode artwork

23 July 2026

Episode 11: How Do You Sound Like You?

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.

00:00

12:32

episode artwork

16 July 2026

Episode 10: Why Do You Write?

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.

00:00

12:15

episode artwork

09 July 2026

Episode 9: Panic is a Terrible Editor

What this episode is about

In May 2025, the Chicago Sun-Times ran a summer reading list with ten books that didn't exist — fabricated by AI, submitted by a freelancer who later said "I do use AI for background at times but always check out the material first. This time, I did not."

That sentence is the whole episode. Not a story about someone with no standards. A story about someone with good standards who, under deadline, skipped the one step that mattered.

In this episode

Why the people making AI mistakes usually aren't careless — they're tired, behind, and the output looked fine. The nursing background parallel: why procedures get drilled before the chaos hits, not during it. Why authors who wait for the cabin in the woods to write their book almost never finish it — and why the ones who integrate writing into a chaotic real life actually do.

Why the same principle applies to AI governance: the process you build when things are calm is the one that'll hold when life does what life does. Why faster and efficient are not the same thing when the speed is creating downstream problems you then have to spend time fixing, or explaining, or apologizing for.

HumanPrint homework

Make a two-column deadline list: left column is what AI can help you move faster with, right column is what AI cannot decide for you no matter how pressed you are. Fill it in when you're not under pressure — that's the version of you that knows what matters.

And if you're working on a book without a writing habit yet, that's the thing to build first. Make the boundary before the panic.

00:00

10:27

episode artwork

02 July 2026

Episode 8: Words as Pixels of the Human Experience

What this episode is about

Each data point represents one pixel of the human experience. That's a stats idea, but it's also a writing idea — the word is the pixel, and the human experience that generated it is what gives it meaning. AI can produce words without the human experience underneath them, which means the pixels are there but the picture might not be.

In this episode

What a scatter plot and a book coaching session have in common — and why the most important thing in either one is sometimes the outlier, not the trend. What it felt like to read individual survey responses from fellow scoliosis survivors in her own research data, and why the individual dots told twenty stories the trend line couldn't.

Why when a book chapter feels "technically accurate but not actually mine," what's missing is almost always the same thing. The bulldozer questions that dig from message to root — and the moment when a client goes "oh damn, yeah, okay, now I get it" and the writing almost fixes itself.

The Mata v. Avianca case as the most vivid example of what happens when all the right pixels are there but the human experience that should be generating them isn't.

HumanPrint homework

Find a piece of your writing where something feels technically accurate but not quite yours. Ask the bulldozer questions: why does this matter to me, so what, why is this important enough to put in writing for strangers to read, do I have a personal story that actually connects to this idea? Dig until you hit the individual experience underneath the message. The trend without the scatter is just a line.

00:00

09:58

episode artwork

25 June 2026

Episode 7: Who's Actually Driving This Thing

What this episode is about

In 2024, Air Canada's chatbot gave a customer the wrong information about bereavement fares — and when he filed a claim, the airline tried to argue the chatbot was basically its own separate entity, not their responsibility. The tribunal said no. And that ruling is the whole episode: you don't get to outsource the judgment and keep the authority. Those two things travel together.

In this episode

Why most AI overuse starts with completely reasonable tradeoffs — "I'll fix it after," "just this once," "I'm sure it's fine" — and how those add up to a habit you didn't mean to form. The filmmaking adage "we'll fix it in post" and why it applies directly to what happens when you hand AI an underdeveloped prompt and hope for the best.

Two very different ways to ghostwrite a book — and which one most people are accidentally replicating with AI. The moment you stop developing ideas with AI and start approving ideas from AI, and why those are not the same job.

HumanPrint homework

Before you use AI for something that matters, write one sentence: "AI can help with ___, but I'm in charge of ___." Fill in both blanks. Then for one piece of work this week, mark every place AI helped and every place you made the final call. If the second list is thin, adjust the process. That's where your authority went.

00:00

11:50

episode artwork

18 June 2026

Approval Voice Versus Alive Voice

What this episode is about

This episode starts with scoliosis research and statistics, which may or may not be what you signed up for. But it's connected—because the same person who ran exploratory factor analysis in SPSS is also the person who had a titanium rod fused to her spine and somehow ended up doing acrobatics in her forties. Same person, different container. The problem starts when you confuse the container with the human being, and when you start applying professional restraint everywhere because you're trying to sound credible instead of being credible.

In this episode

How approval voice works like regression to the mean, as in, your sharpest, most specific sentences get revised toward the average until they could belong to anyone. The contradiction of wanting your writing to stand out while safely blending in. Why AI is very good at helping you sound acceptable, and why "make this more professional" is basically an invitation to move your voice toward the middle.

What data storytelling and writing have in common. The topic doesn't make the piece original, your relationship to the topic does. A 2025 study on AI-generated college admissions essays that found human-written essays contributed more new ideas, and the gap got wider as the sample grew. The difference between professional voice ("what does this context require so the reader can trust me?") and approval voice ("how do I avoid giving anyone a reason to question me?").

HumanPrint homework

Do an approval audit. Take something you wrote or something AI helped you revise, and find where the language got safer but less specific. Pick one of those sentences and ask: What am I actually trying to say? What have I seen, lived, studied, built, or learned that gives me the right to say it? What would I say to one smart person who already trusts me? Rewrite from there. Before you publish this week, ask yourself: Did I make this more me, or more normal?

00:00

17:55

Copyright © HumanPrint: How to Use AI Without Losing Yourself. All rights reserved.

Powered by