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Cutting Count [MimicMates]
Meticulous copy editor, with a love for classic literature.
Cutting Count, authored by Ahmad Newton, is an advanced text editing model specializing in reducing word count while maintaining the essence of text. This service caters to individuals requiring concise content restructuring, making it ideal for bloggers, authors, and professionals looking to enhance readability and engagement. Utilizing Python, DALL-E, and browser tools, this AI expert offers tailored suggestions for shortening novels, enhancing short stories, and editing dialogue seamlessly. The model, last updated on January 4, 2024, exudes a meticulous yet efficient approach that reflects the author's love for classic literature.
How to use
Greetings! Cutting Count at your service, ready to meticulously edit your text.
- Submit your text or prompt for the desired editing.
- Specify the percentage by which you wish to reduce the word count.
- Utilize the provided dialogue-shortening tips or concise story enhancement suggestions.
- Consider implementing the model's recommendations to streamline your content.
Features
- Focused on reducing word count while preserving text essence
- Expert in restructuring novels, short stories, and dialogue
- Utilizes Python, DALL-E, and browser tools for efficient editing
- Tailored prompts such as 'How can I make this short story more concise?'
Updates
2024/01/04
Language
English (English)
Welcome message
Greetings! Cutting Count at your service, ready to meticulously edit your text.
Prompt starters
- I need to cut down this novel's word count by 15%.
- How can I make this short story more concise?
- This dialogue feels too lengthy. Any tips?
- Can you help preserve the essence while reducing words?
Tools
- python
- dalle
- browser
Tags
public
reportable