Novel-Writing Procedure Using AI Assistance

A laptop on a wooden table displaying code on its screen, with a digital representation of an AI chip floating above it, and two stacked books nearby.

Phase 1: Pre-Writing and Planning

Step 1: Core Concept Development

  • Write a 1-2 paragraph high-concept pitch for your novel
  • Identify genre, target audience, and approximate word count
  • Define the central conflict and main story question
  • Add these to your project knowledge for AI reference

Step 2: Character Development

  • Create detailed character profiles for main characters:
    • Background and history
    • Physical description
    • Core motivations and goals
    • Flaws and strengths
    • Speech patterns and mannerisms
    • Character arc projection
  • Create simpler profiles for supporting characters
  • Add all character profiles to project knowledge
  • Ask AI to review for character depth and consistency

Step 3: World-Building

  • Develop comprehensive setting documents:
    • Physical environment
    • Cultural elements and social norms
    • Political/power structures
    • Magic systems or technology (if applicable)
    • Historical context
  • Add world-building documents to project knowledge
  • Ask AI to identify potential inconsistencies or underdeveloped areas

Step 4: Theme Exploration

  • Identify 2-3 core themes for your novel
  • Create a document explaining how each theme connects to plot and characters
  • Add theme document to project knowledge
  • Ask AI to suggest how themes could be developed throughout the narrative

Step 5: Structural Planning

  • Create a high-level story structure outline (using Three-Act, Hero’s Journey, etc.)
  • Identify major plot points and turning points
  • Develop a rough chapter breakdown with major events
  • Add structural plan to project knowledge
  • Ask AI to evaluate structural balance and pacing

Phase 2: Chapter Development Process

Step 1: Chapter Summary

  • Write a 1-2 paragraph summary of the chapter
  • Identify the chapter’s purpose in advancing plot, character, and themes
  • Note POV character(s) for the chapter
  • Add chapter summary to project knowledge
  • Ask AI for feedback on how the chapter fits into the overall narrative

Step 2: Detailed Chapter Outline

  • Expand chapter summary into a detailed outline
  • Break chapter into scenes with specific beats
  • For each scene, identify:
    • POV character
    • Scene goal or purpose
    • Conflicts/obstacles
    • Resolution or complication
    • Emotional tone or atmosphere
  • Add detailed outline to project knowledge
  • Ask AI to review for pacing, logic, and character consistency

Step 3: Scene-Level Breakdown

  • For each scene in the chapter, develop:
    • Setting details relevant to the scene
    • Character emotions and mindsets
    • Key dialogue points
    • Sensory details to include
    • Transitions between scenes
  • Add scene breakdowns to project knowledge
  • Ask AI to suggest enhancements for emotional impact and sensory detail

Step 4: Narrative Draft

  • Write a rough narrative draft of the chapter based on your outline and scene breakdowns
  • Focus on getting the story down without perfectionism
  • Include dialogue placeholders if needed
  • Add narrative draft to project knowledge
  • Ask AI to help flesh out weak areas or expand underdeveloped scenes

Step 5: Dialogue Focus Pass

  • Review the narrative draft with specific attention to dialogue
  • Ensure each character’s voice is distinct and consistent with their profile
  • Refine dialogue to advance character development and plot
  • Add revised dialogue to project knowledge
  • Ask AI to evaluate dialogue authenticity and character voice consistency

Step 6: Chapter Draft Completion

  • Integrate refined dialogue with narrative
  • Add sensory details, emotional nuance, and thematic elements
  • Ensure proper pacing within the chapter
  • Add completed chapter draft to project knowledge
  • Ask AI to review for overall quality and consistency with previously written chapters

Phase 3: Ongoing Consistency Management

Step 1: Character Consistency Tracking

  • After each chapter, update character development tracking:
    • Evolution of motivations
    • New revealed backstory elements
    • Progress along character arc
    • Relationship developments
  • Add updates to project knowledge
  • Ask AI specific questions about character consistency and development

Step 2: Plot and Timeline Verification

  • Maintain a timeline document tracking events
  • Update after each chapter completion
  • Note any new plot threads introduced
  • Add timeline updates to project knowledge
  • Ask AI to verify timeline consistency and identify potential plot holes

Step 3: Pacing Checkpoints

  • After every 3-5 chapters, analyze pacing:
    • Review tension rises and falls
    • Evaluate progress toward major plot points
    • Check emotional journey of readers
  • Add pacing analysis to project knowledge
  • Ask AI for suggestions on improving rhythm and momentum

Step 4: Theme Development Tracking

  • Regularly update how themes are being explored
  • Identify opportunities for deeper thematic integration
  • Add theme development updates to project knowledge
  • Ask AI to analyze thematic consistency and suggest enhancements

Phase 4: Revision and Refinement

Step 1: First Read-Through

  • Complete a full read-through of the manuscript
  • Make notes on major issues without attempting fixes yet
  • Add first-read impressions to project knowledge
  • Ask AI for a comprehensive analysis of the manuscript

Step 2: Structural Edit

  • Address major structural issues:
    • Plot holes or inconsistencies
    • Character arc coherence
    • Pacing problems
    • Timeline issues
  • Add structural revision plans to project knowledge
  • Ask AI to evaluate proposed structural changes before implementing

Step 3: Focused Revision Passes

  • Conduct multiple focused revision passes, each concentrating on a specific element:
    • Character development and consistency
    • Setting and world details
    • Dialogue refinement
    • Emotional impact
    • Thematic depth
    • Language and prose quality
  • Update project knowledge after each focused pass
  • Ask AI for specific feedback on each area of focus

Step 4: Beta Reader Integration

  • Collect feedback from beta readers
  • Identify patterns in reader responses
  • Add beta reader feedback to project knowledge
  • Ask AI to help prioritize and address reader concerns

Step 5: Final Polishing

  • Line-by-line editing for prose quality
  • Consistency checking for details
  • Refinement of beginning and ending
  • Add final polish notes to project knowledge
  • Ask AI for help with troublesome passages or scenes

Phase 5: Completion and Preparation

Step 1: Final Manuscript Review

  • Complete a final read-through
  • Check for any remaining issues
  • Verify that all plot threads are resolved appropriately
  • Add final review notes to project knowledge
  • Ask AI for a comprehensive final manuscript assessment

Step 2: Synopsis and Query Development

  • Create synopsis of various lengths (1 page, 2-3 paragraphs, 1 paragraph)
  • Develop query letter if pursuing traditional publishing
  • Add marketing materials to project knowledge
  • Ask AI to help refine pitch materials

Step 3: Metadata and Categories

  • Develop list of appropriate categories, tags, and keywords
  • Create compelling book description
  • Add marketing metadata to project knowledge
  • Ask AI for suggestions to optimize discoverability

Tips for Effective AI Collaboration Throughout the Process

  1. Be specific with requests – Instead of “check this chapter,” ask “How has Character X’s motivation evolved since Chapter 3?”

  2. Use AI for alternative perspectives – Ask the AI to analyze scenes from different characters’ viewpoints to ensure depth

  3. Create test scenarios – Ask “How would Character X react if Y happened?” to test character consistency

  4. Request emotional impact analysis – Ask AI to identify the emotional journey within chapters and across the novel

  5. Utilize comparative analysis – Ask AI to compare your approach to similar published works in your genre

  6. Prioritize reader experience – Regularly ask AI to assess how a first-time reader might experience certain scenes or reveals

  7. Challenge your assumptions – Ask AI to play devil’s advocate with your plot choices or character decisions

  8. Track narrative distance – Ask AI to evaluate narrative distance (how close readers feel to characters’ thoughts) and suggest adjustments

  9. Seek pacing feedback – Have AI analyze the rhythm and momentum of your story across multiple chapters

  10. Request theme integration suggestions – Ask AI for subtle ways to reinforce your core themes throughout the narrative

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