What this episode is about

People know when they're hearing Bob Dylan. The question is, do you know when you're hearing yourself? A lot of people have never really developed the habit of hearing their own writing voice, and AI makes it very easy to mistake fluency for improvement. This episode is about tuning into your own signal before you hand your writing over to be "improved."

In this episode

Why "finding your voice" is the wrong framing, meaning, your voice isn't MIA, you just haven't learned to hear it yet. What happens when AI gives you back something smoother and you feel nothing—and why that non-reaction is data. What twenty-plus years of book coaching taught me about the damage caused by trying to "sound like an author." Why voice develops through writing, not before it and the connection between HumanPrint and my first podcast, Your Daily Writing Habit. Same thread, different source of friction.

HumanPrint homework

Before you ask AI to draft or revise something that matters, record yourself talking through the idea for three minutes. Use the transcript as your starting point. Look for where you sound most like yourself—where your energy changes, where you get more specific, where you say something plainly that you would've overworked on the page. Write from that material. Then, if you bring in AI, tell it what to keep and what not to change.

What this episode is about

AI has become the most rigid, literal editor in the world—determined to stamp out your unique writing messiness every time you color outside the literary lines. But some of your real voice lives in the roughness. This episode is about why the weird, unpolished parts of your writing might be the most valuable parts, and what happens when you let AI sand them off.

In this episode

Emily Dickinson's fight with her editor Thomas Wentworth Higginson over her "weird" punctuation and rhythm—and why AI is now playing the same role. Why the sentence that sounds "better" can be the wrong sentence if it no longer sounds like you. What I learned writing my own memoir, The Power of the Curve, about sharing the messy vulnerable stuff—and how my mess became a reader's miracle. The micro-decisions that happen in the friction between your rough draft and AI's polished output, and why those micro-decisions ARE your voice.

HumanPrint homework

Write something messy and YOU on purpose—the kind of messy that makes you nervous. Ask AI to polish it but NOT to make it into something that's not you. Share it with the world or just one person. See how it feels.

Three questions inspired by Emily Dickinson: What would a rigid editor "reject" about your natural writing voice? What's valuable about knowing that? And how can you push back?

AI can help organize, summarize, brainstorm, and sharpen your thinking. The trouble starts when the tool begins making decisions that belong to you.

In this episode of HumanPrint, Christine Whitmarsh looks at the line between useful support and outsourcing your own judgment. From core message to emotional framing, some parts of the process need to stay in your hands on purpose.

This week’s HumanPrint check: write down three things AI can help you do, then name the one thing it doesn’t get to decide.

Polished writing used to suggest effort. Now AI can produce it in seconds, which means “sounds good” is no longer enough.

In this episode of HumanPrint, Christine Whitmarsh looks at the difference between a strong voice and a polished one, and why the prettier sentence may not be the sentence that actually sounds like you. If your writing sounds smooth but strangely generic, that smoothness might be covering over the place where your actual point of view should be.

This week’s HumanPrint check: find one sentence that sounds impressive but doesn’t say much. Cut it, then write what you meant before you made it pretty.

What happens when your writing still sounds polished, but no longer sounds like you?

In this first episode of HumanPrint, Christine Whitmarsh introduces the idea of drift: the subtle way generative AI can pull your writing, voice, and point of view away from your own human signal before you realize it’s happening.

This episode, HumanPrint itself, comes from a more useful place than the tired, black and white, pro-AI versus anti-AI debate. Our focus here is how to use the tool without letting speed, polish, and convenience genericize the parts of your voice that make your work recognizably yours.

This week’s HumanPrint check: before you publish, ask what sounds specifically like you, and what could have come from almost anyone.