How I’m Teaching AI to Write Like Me

Earlier today I came across a guide from Every on building AI style guides, and the premise was deceptively simple: if you want AI to write like you, you have to teach it how you actually think, not just what to say.

I’d been using AI to write content for a while by that point, and while the results were solid, whenever I tried to write anything personal, something always felt slightly off. It’s like someone had ironed all the creases out of my voice.

So I decided to build it properly.

The process started with an interview rather than a blank document. Instead of trying to describe my style from scratch, which tends to produce flattering generalities rather than anything actionable, I answered questions one at a time.

  • What feeling did I want to leave readers with?
  • What made a good opening?
  • What made me cringe when I read something back?

The answers that came out surprised me. I knew I wanted readers to feel intrigued and inspired, but articulating that I also wanted them to actually do something after reading gave the whole thing a direction it hadn’t had before.

What also helped was that we weren’t starting from nothing. Years of writing, dozens of drafts, and feedback from people around me had already created a record of what worked, what didn’t, and why. The patterns were already there. Pulling them together made them visible in a way they had never been before.

The test drafts caught things I hadn’t anticipated. A piece would come back and include an em dash despite it being in the blacklist, because the draft had created a rhythm problem and reached for the easiest fix. A paragraph would stack short fragments for dramatic effect and end up sounding more like AI than the original prompt. Each of those moments added something specific to the skill, not just “avoid this” but why it fails and what to do instead.

What I learned through all of this is that it took multiple tries, reading multiple guides, and learning to recognise which advice was there to create hype rather than to be genuinely helpful, before I started getting output that actually felt like me

The quality of what comes back is almost always a reflection of the specificity of what you put in, and vague instructions about voice produce generic writing, every time.

The result is a Claude Skill, which is a reusable file that loads into Claude and governs how it writes whenever I want something in my personal voice.

It’s not finished, and it won’t be for a while. It gets better every time I use it, catch something that misses the mark, and add that back into the record. That’s the actual point of building it this way rather than writing it once and moving on.

If you’ve been using AI for personal writing and the results keep feeling slightly off, the Every guide is worth a genuine hour of your time.

Do the interview rather than trying to randomly describe your voice, react to real examples instead of generalities, and build your own skill from what you learn.

It’s a slower start, but it’s the only approach that has actually produced something that sounds like me.

In

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  26. The line about AI “ironing all the creases out” of your voice captures the problem perfectly—technically polished writing can still feel unmistakably unlike you. Teaching it how you think, rather than simply feeding it preferred phrases, seems like the much more durable approach.

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  29. The line about AI “ironing all the creases out” of your voice captures the problem perfectly—technically polished writing can still feel unmistakably unlike you. Teaching it how you think, rather than just feeding it preferred phrases, seems like the more durable approach to preserving personal voice.

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  34. The line about AI “ironing all the creases out” of your voice captures the real challenge perfectly—sounding polished isn’t the same as sounding like yourself. Teaching it how you think, rather than just feeding it preferred phrases, feels like the much more useful approach.

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  46. The idea that AI needs to learn how you think—not just what to say—really gets to the heart of why personal writing can feel “slightly off.” I especially liked the image of AI ironing all the creases out of your voice; it captures the difference between technically polished writing and writing that still sounds like you.

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  49. The distinction between teaching AI how you think and merely giving it phrases to copy really resonates. I especially liked the image of AI “ironing all the creases” out of your voice—it captures why personal writing can feel polished yet strangely unlike you.

  50. The distinction between teaching AI how you think and merely telling it what to say really resonates. I also like the “ironed all the creases out of my voice” description—it captures exactly why personal writing can feel subtly wrong even when the prose is technically polished.

  51. The distinction between teaching AI “what to say” and teaching it “how you actually think” really resonates. The image of AI ironing all the creases out of your voice captures exactly why personal writing can feel polished yet strangely unlike you.

  52. The distinction between teaching AI how you think rather than just what to say really resonates. “Ironed all the creases out of my voice” is a perfect description of why personal writing often feels subtly wrong when the process focuses only on polished output.

  53. The distinction between teaching AI how you think and merely telling it what to say really resonated. That image of AI “ironing all the creases out” of your voice captures exactly why personal writing can feel polished yet strangely unlike you.

  54. The idea that AI needs to learn how you think—not just what to say—really resonates. I especially liked the image of AI “ironing all the creases” out of your voice; that captures why personal writing can feel subtly wrong even when the sentences are technically polished.

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  57. The distinction between teaching AI how you think rather than just what to say really resonated. “Ironed all the creases out of my voice” is exactly what happens when personal writing gets reduced to polished prompts instead of preserving the quirks that make it yours.

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  59. The distinction between teaching AI how you think and merely telling it what to say really resonates. “Ironed all the creases out of my voice” perfectly captures why personal writing can feel subtly wrong even when the output is technically solid.

  60. The distinction between teaching AI how you think and merely telling it what to say really resonates. “Ironed all the creases out of my voice” is a sharp description of why technically polished AI writing can still feel personally wrong.

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