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AI Humanizer Workflow example

AI drafts started sounding closer to the founder's actual writing.

RK
Rachel Kim
Founder · Cedar Notes - 4 people · Denver, CO, USA
1
voice system for all founder content

The before

Rachel used ChatGPT for newsletters and LinkedIn posts, but the drafts sounded too smooth and generic. Editing every line back into her own voice took almost as long as writing from scratch.

The turning point

She created a project in MultipleChat with her previous essays, product notes, and customer emails. Then she uses AI Humanizer to rewrite ChatGPT output against her own documents, preserving ideas while changing cadence, phrasing, and specificity.

"The project documents changed everything. The humanizer finally had my voice to learn from."

— Rachel Kim, Founder

The after

Her content workflow now starts with a rough AI draft and ends with writing that feels closer to her actual voice. She still edits, but the gap between AI output and publishable text is smaller.

What they used

Projects

Add founder notes, essays, and examples as context.

AI Humanizer

Rewrite AI text into a more natural voice.

Voice consistency

Use the same project context across content pieces.

AI Humanizer Projects ChatGPT output

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