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You can humanize or fully rewrite AI-generated content in Profound in two main ways:
  • Use the /Humanizer Copy command in the AI Marketer chat when you want to quickly rewrite pasted text so it sounds more natural.
  • Use the Content Rewrite Applier agent template when you want Profound to rewrite a full page using a URL plus optimization recommendations.

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When to use each option

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Use** /Humanizer Copy **for quick copy edits

This is the fastest option when you already have draft text and want Profound to rewrite it.
  1. Open the AI Marketer chat.
  2. Type /Humanizer Copy.
  3. Paste the AI-generated text you want rewritten.
  4. Review the rewritten output.
Use this when you want to remove stiff or overly AI-sounding phrasing without building a larger workflow.

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Use Content Rewrite Applier for full-page rewrites

Use the Content Rewrite Applier agent template when you want a more structured rewrite workflow. This template can:
  • take a page URL as input
  • apply optimization recommendations
  • rewrite the page into publish-ready markdown
  • reduce AI-sounding language patterns
  • return a rewrite plus a change log
This is a better fit when you are chaining content recommendations into a larger editing or publishing process.

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How this relates to Skills and Agents

In Profound, humanizing behavior may come from either a command, a skill, or an agent workflow depending on how your workspace is set up.
  • A Skill can be attached to a Prompt LLM node to influence how generated text is rewritten.
  • A reusable command such as /Humanizer Copy may be the easiest entry point for teammates working directly in chat.
  • An agent template such as Content Rewrite Applier is better for repeatable, multi-step workflows.
If you are deciding which “humanizer” option someone means, ask whether they want a quick rewrite of pasted text or a full-page rewrite workflow.
  • Use Prompt LLM when you want to build your own rewrite logic inside an Agent.
  • Use a Skill with Prompt LLM when you want reusable rewrite behavior across multiple agents.