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ai.interactive.fiction/TODO.md
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Project Implementation Plan

Phase 1: Project Setup and Basic Structure

  • Define project goals and specifications
  • Set up project structure
    • Create core directories (src, data, tests)
    • Initialize Node.js/npm project
    • Set up TypeScript configuration
    • Configure ESLint and Prettier for code quality
  • Choose and set up testing framework
  • Create basic documentation structure

Phase 2: World Model Implementation

  • Define YAML schema for world elements
    • Room schema (description, exits, objects, characters)
    • Object schema (description, properties, allowed actions)
    • NPC schema (description, dialogue, behavior)
    • Action schema (conditions, effects)
  • Implement YAML parser and validator
  • Create the world model core
    • Game state management
    • Room navigation
    • Object interaction
    • NPC interaction
    • Action processing logic
  • Create a simple test world in YAML format
  • Implement unit tests for world model

Phase 3: LLM Integration

  • Research and select appropriate OpenRouter model
  • Implement OpenRouter API client
    • Configuration and authentication
    • API request/response handling
    • Rate limiting and error handling
  • Design LLM prompting strategy
    • System prompts for action translation
    • System prompts for narrative generation
    • Context management for conversation history
  • Create adapter between LLM and world model
    • Define the interface for action translation
    • Define the interface for narrative generation

Phase 4: Game Engine Core

  • Implement the game loop
    • Input handling
    • Action processing via LLM
    • World model updating
    • Response generation via LLM
    • Output formatting
  • Implement saving/loading game state
  • Add game configuration options
  • Implement logging for debugging

Phase 5: User Interface

  • Create a command-line interface
    • Input handling
    • Text output formatting
    • Command history
  • Implement a simple web interface
    • Basic HTML/CSS structure
    • JavaScript for interaction
    • Responsive design
  • Text processing utilities
    • Implement smartypants.js for typographical improvements
    • Add hyphenation support

Phase 6: Advanced Features

  • Implement integration layer for Z-machine
    • Research Z-machine libraries
    • Create adapter for Z-machine to world model interface
    • Test with classic Infocom games
  • Add advanced LLM features
    • Character styles and narrative tones
    • Memory and reference to past events
    • Player character personality modeling
  • Create plugin system for extending world model capabilities

Phase 7: Testing and Refinement

  • Comprehensive testing
    • Unit tests for core components
    • Integration tests for LLM integration
    • End-to-end game flow tests
    • User testing and feedback
  • Performance optimization
    • Minimize LLM token usage
    • Optimize world model for larger games
  • Refine prompting strategies based on testing

Phase 8: Documentation and Release

  • Complete user documentation
    • Installation guide
    • World creation guide
    • Configuration reference
  • Complete developer documentation
    • Architecture overview
    • API reference
    • Extension guide
  • Create example worlds and games
  • Prepare for initial release