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The arguments underneath the product.

Longer writing on voice, drafts, audience, and the craft around posting online. Not help articles; the cases that sit underneath the product.

Why writing is the problem.

Voice is the thing.

On voice

What is writing voice? (And what most LinkedIn advice gets wrong)

Most advice about 'finding your writing voice' focuses on the surface: tone, word choice, cadence. Readers recognize something deeper. A look at what voice actually is, and why it matters for LinkedIn.

On the profile

What makes a writing voice recognizable? A humanities answer.

Before tech people asked what 'voice' means, rhetoric, literary criticism, and classical stylistics had spent 2,000 years on the question. Their answer is richer than most AI-era takes. Six things, together, make a voice.

On reading

Why AI writing sounds 'off' (even when you can't say why)

Readers detect AI writing long before they can name what tipped them off. The tells are structural. Here's what your ear catches that your conscious mind hasn't yet.

On drafts

What a good AI-written first draft should actually look like

Most AI writing tools optimize for polished output. That's the wrong target. A good first draft is rough in the writer's own direction. Here's what that means in practice, and what a tool has to know to produce it.

On the frontier

Why ChatGPT can't match your writing voice (and what it would take)

General-purpose AI tools like ChatGPT, Gemini, and Claude hit a ceiling on voice. The ceiling is architectural, not a prompt-engineering problem. A look at why, and what a tool that closed the gap would actually need.

On the profile

Your writing voice is personal data

A voice model is the structural fingerprint of how a writer thinks. That makes it identity-relevant data, not generic content. A look at what that means for the AI writing tools that build and store it.

From writer to editor.

What publishing unlocks.

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