Product

How Noren works.

The extraction pipeline, a live voice demo, and the profile you own.

How it works

Your writing in.
Your voice profile out.

Feed it your writing

Tweets, essays, emails. The more formats, the richer the profile.

Noren maps your patterns

Word choices, sentence rhythms, structural habits. Distilled into a style guide, then verified against your originals.

AI writes as you

Give it a prompt. Get back something that sounds like you wrote it.

Real voice extraction

See it in action

We fed a public figure’s blog posts and tweets into Noren. Then gave it a prompt. Zero editing. This is the raw output.

Input

❯Write an email to a founder whose Series A pitch you just reviewed. You liked the team but think their go-to-market strategy is flawed. Be direct but constructive.

Source material

14 blog posts + 100 tweets
from public writing

Raw output, zero edits

Subject: Following up Hi [Founder Name], Thanks again for walking me through the deck last week. Let me start by saying: I was fundamentally impressed with you and the team. Your technical chops are obvious, and the core insight behind the product is sharp. I've been thinking about it a lot since we spoke. But here's the thing that I can't get past: the go-to-market. The way you've framed it, you're launching a frontal assault on the incumbent. It's a battle for their core territory, where their advantages are strongest. If you want to win a fight, you don't pick the biggest guy in the room and challenge him on his home turf, especially when he has 100x your resources. This is a classic game theory problemSignature framing. The incumbent's incentive is to crush you with overwhelming force, and they have the capital to do it. You're forcing a game of attrition that you are, almost by definition, set up to lose. This is a trap.Rhythm match Now, you might believe your product is 10x better and that's enough to win. But I've seen this movie before, and a better product rarely beats a deeply entrenched distribution advantage head-on. So here's a thought experimentRecurring device. What if you didn't fight them there? What if you looked at the market as a map? There are suburbs, even rural farmlandsCharacteristic analogy, where the incumbent's solution is jankyVocabulary match and overpriced. Customers who are completely neglected. Your product is actually a much better fit for them, but your current GTM narrative ignores them entirely. That's your beachhead. For that reason, we're going to pass on this round. I know that's not what you wanted to hear. But I'm a big believer in you as a founder. If you ever find yourself rethinking the GTM along these lines, my door is always open. I genuinely mean that. Best, xxxx

Patterns detected · click to explore

What you get

A voice profile you own,
can read, and can tune.

A style guide the AI actually follows, written in plain Markdown. Edit anything the engine got wrong. The more you write, the sharper it gets.

core-identity.md

# Voice Profile## Extracted from 16 writing samples ### How You Open- Default: Declarative. Drops you mid-thought.- Closing: Short punch line. Often a single sentence.- Rhythm: 9 words avg (clipped) ### Words You Reach For- Action: "kill", "cut", "delete", "ship" (direct verbs)- Tendency: real numbers over vague qualifiers- Avoids: "utilize", "leverage", "ecosystem", "journey" ### How You Persuade- Opens with: Concrete anecdote first, then the lesson- Contrast: Imperative pair: "Delete X. Start with Y."- Evidence: Specifics over adjectives (43 meetings, not "many meetings")

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Why Noren

Other tools describe your style.
Noren finds your patterns.

That training lives in one chat, on one model, and degrades as context shifts. Noren extracts your patterns into a structured voice profile. Works on any model, doesn’t degrade, and your team can use it too.

You’re describing your voice from memory. Noren finds it in evidence. Sentence structures, rhetorical moves, word-level preferences you might not even know you have.

You could. We did. It took weeks. And the engine still found 8 patterns we’d never noticed.

Grammarly makes you sound “professional” or “friendly.” Noren makes you sound like you. How you build arguments, where you draw analogies, the rhythms that make readers think “that sounds like you.”

Jasper extracts tone and vocabulary. Noren extracts 50+ structural patterns: rhetorical moves, analogy domains, micro-constructions, anti-patterns. The difference is “casual and direct” vs. a structured profile you can read, edit, and version. We tested both on the same writer. The gap is not subtle.

Seen enough?

Try it with your writing.

Join the waitlist for founding member access. We’ll send an invite when your spot opens.

Open-source appSamples stay privateAny LLM / Anthropic, OpenAI, Gemini, or local