Enhanced Prompt: Ensuring Character Voice and Speech Consistency in Your Ebook

Objective:
To ensure a unified, cohesive, and authentic character voice and speech patterns throughout your ebook, aligning with the author's intent and enhancing readability and engagement.

Deliverables:

1. A polished, consistent manuscript with standardized character voice and speech patterns.
2. A detailed checklist for voice consistency, including character arcs, speech patterns, and dialogue delivery.
3. A timeline for editing and polishing, including milestones for consistency checks and revisions.
4. A report on voice consistency analysis, including metrics such as character voice similarity scores and readability improvements.

Industry Best Practices and Standards:

• Adhere to established standards for character consistency, including the use of consistent pronouns, voice tone, and emotional arc development.
• Follow guidelines for speech patterns, such as consistent use of internal monologue voice and adherence to character personality.
• Implement a checklist for voice consistency, including:
  • Character voice similarity score (e.g., 90%+ consistency across all instances).
  • Dialogue and speech pattern uniformity (e.g., consistent use of first or third person).
  • Character voice emotional arc consistency (e.g., gradual emotional development).
• Utilize tools like Grammarly, Hemingway Editor, or AI-based writing assistants for voice refinement.
• Conduct a peer review to ensure voice consistency across all sections.

Quality Expectations:

• A polished manuscript with a 90%+ consistency rate in character voice and speech patterns.
• Improved readability and engagement, with a readability score improvement of at least 15%.
• A comprehensive checklist and analysis report for future reference and scalability.

Technical Considerations:

• Use of industry-standard terminology, such as "voice," "tone," "arc," and "patterns."
• Incorporation of technical specifications, such as:
  • Character voice consistency score (e.g., 90%+).
  • Speech pattern uniformity