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Copywriter

A written voice-cloning tool that generates copy matching a specific writing style.

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Why:Client Work
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The Challenge

The Problem

Client needed to produce a lot of content but wanted it all to sound like their founder wrote it.

Why I Took This On

Interesting AI challenge: can you actually capture someone's writing voice and replicate it?

Constraints

Had to work from limited sample text and produce results that fooled people who knew the founder.

The Process

01

Initial Approach

Analyzed the founder's existing content for patterns, then built custom prompts to replicate them.

02

What Went Wrong

First attempts were too formal—captured vocabulary but missed the casual rhythm.

03

Breakthroughs

Added analysis of sentence structure and informal patterns, not just word choice. Voice is more than vocabulary.

What I Learned

Skills Gained

Writing style analysisVoice cloning with LLMsAdvanced prompt engineering

Unexpected Discoveries

Everyone's writing has a signature rhythm. Once you see it, you can't unsee it.

What I'd Do Differently

Would have recorded the founder speaking to capture verbal patterns, not just written ones.

Where It Stands Now

Current State

Working MVP, client uses it for drafts that get light editing.

What's Next

Exploring whether this could be productized for other clients.

The Bigger Picture

The voice analysis techniques feed into other content generation work.

The Impact

Client Results

A client

Can produce 5x more content with the same voice consistency.

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