HumanPrint: How to Use AI Without Losing Yourself

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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.

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Latest episodes

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10 September 2026

Episode 18: Ship Anyway

What are you waiting to create while the rest of the world argues about AI? In this episode, you’ll examine how uncertainty, criticism, and shifting standards can quietly delay your work, then use your own WHY, creative history, and controllable inputs to decide what you’re ready to make now instead of waiting for consensus.

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15:49

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03 September 2026

Episode 17: Before AI / After AI

Has AI actually improved your writing process, or just changed it? This episode gives you a practical way to compare how you worked before generative AI with how you work now, so you can identify what genuinely helps, what may be weakening your skills or voice, and which parts of your process are worth protecting.

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15:45

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27 August 2026

Episode 16: Head Down, Eyes on Your Own Paper

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.

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17:11

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20 August 2026

Episode 15: Set the Terms of Your Social Media Presence

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.

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18:45

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13 August 2026

Episode 14: Put the Torch Down

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.

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17:53

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06 August 2026

Episode 13: Freedom of Creative Process

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.

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17:24