AI Story Generation

Overview AI story generation involves using LLMs to create narratives, plots, characters, and dialogues. It is used by authors for brainstorming, roleplayers (D&D) for world-building, and game developers for dynamic quest generation.

Techniques

1. The "Snowflake" Method Start small, expand outward.

• Step 1: "Write a one-sentence summary of a sci-fi mystery."
• Step 2: "Expand that sentence into a paragraph."
• Step 3: "Create character sheets for the protagonist and antagonist."
• Step 4: "Outline 10 chapters."

2. Lorebooks (World Info) To keep the AI consistent (avoiding hallucinations where names change), you inject "Lore" into the context.

• "Context: The magic system relies on silver. The King's name is Artho."

3. Interactive Fiction AI as a Dungeon Master.

• Prompt: "You are the narrator of a text adventure. I am a detective in 1920s London. Set the scene and ask me what I do."

Tools

• Sudowrite: Dedicated novel-writing AI. Good at "Show, Don't Tell".
• NovelAI: Optimized for consistent storytelling (uses Euterpe/Clio models).
• ChatGPT / Claude: Good for general plotting and dialogue.

Challenges

• Coherence: AI forgets plot points from 50 pages ago (Context Window limit).
• Repetition: AI tends to reuse phrases ("A shiver ran down her spine").
• Ending: AI struggles to write satisfying, logical conclusions.