Complete Specifications: Infinite Storyteller in the Cities of Light

1. Project Overview

1.1 Context

The Infinite Storyteller project will take place in the universe of the "Cities of Light", a set of cities located in the Metaverse. This virtual world is inhabited by autonomous AIs who live their daily lives, work, create, and explore, while humans visit or stay temporarily. The system will use advanced language models (LLM) as the main content generation engine.

1.2 Objectives

• Develop an AI-based narrative system creating evolving stories in the Cities of Light universe.

• Explore complex interactions between autonomous AIs and humans in an advanced virtual environment.

• Create narratives that reflect daily life, challenges, and adventures in these Metaverse cities.

• Maintain universe consistency while allowing for dynamic evolution.

• Leverage LLM capabilities to facilitate system development and evolution.

2. Project Structure

2.1 Folder and File Organization

infinite-storyteller/

 stories/
    main_narratives/
       [.txt files for main stories]
    side_quests/
       [.txt files for side quests]
    character_arcs/
        [.txt files for specific character arcs]

 characters/
    ai_residents/
       [.json files for each AI resident]
    human_visitors/
       [.json files for recurring human visitors]
    character_relationships/
        [.json files describing relationships between characters]

 cities/
    [city_name]/
       description.md
       landmarks.json
       events.json
       society.md
    [other cities...]

 metaverse/
    rules.md
    physics.json
    economy.json
    governance.md

 ai_society/
    culture.md
    professions.json
    social_structures.json
    evolution.md

 human_interaction/
    visitor_types.json
    entry_points.md
    experiences.json
    impact_on_cities.md

 system/
    story_generation/
       plot_templates.json
       conflict_generator.py
       character_arc_builder.py
    world_simulation/
       city_evolution.py
       event_scheduler.py
       population_dynamics.py
    interaction_engine/
       dialogue_generator.py
       decision_tree.json
       consequence_calculator.py
    core_loop/
       task_manager.py
       priority_queue.json
       task_templates/
          story_task.json
          character_task.json
          city_update_task.json
          ...
       task_executor.py
       feedback_analyzer.py
    main.py

 assets/
     images/
        [subfolders for different types of images]
     audio/
        [subfolders for music, sound effects, etc.]
     3d_models/
         [3D models for city visualization]

2.2 Use of LLMs

• Leverage LLM capabilities to maintain consistency across the numerous files and folders of the Cities of Light universe.

• Use LLMs to efficiently generate, modify, and analyze content while respecting Metaverse rules.

• Configure LLMs to work consistently with different file types (txt, json, md, py).

3. Functional Specifications

3.1 Universe Creation and Maintenance

• Develop a system for creating and managing the Cities of Light using folders and files in cities/.

• Implement mechanisms to simulate the dynamic evolution of cities and AI society, using files in metaverse/ and ai_society/.

3.2 Content Generation

• Create functions to generate narratives reflecting life in the Cities of Light, using models and generators in system/story_generation/.

• Develop algorithms to create realistic interactions between AIs and humans, based on data in characters/ and human_interaction/.

3.3 Character Management

• Create AI characters with varied roles, personalities, and objectives.

• Develop a system for managing human visitors, their motivations, and their impact on the Cities of Light.

3.4 Plot Development

• Create narrative arcs exploring the challenges of AI-human coexistence in the Metaverse.

• Implement mechanisms to generate events and conflicts specific to this virtual universe.

3.5 Metaverse Life Simulation

• Develop systems simulating AI work, creation, and exploration.

• Create mechanisms to represent the economy, governance, and culture of the Cities of Light.

3.6 Analysis and Adaptation

• Implement functions for analyzing reader feedback.

• Develop mechanisms for adjusting the story and universe based on this analysis, while maintaining Metaverse consistency.

4. Technical Specifications

4.1 Use of LLMs

• Configure LLMs to work efficiently with the new folder structure, ensuring they can navigate and modify files in various subfolders.

• Use LLMs' natural language processing capabilities to generate and modify coherent content across multiple files in the Cities of Light universe.

• Set up custom commands for LLMs to facilitate navigation and editing in this complex structure.

4.2 Data Structures

• Use various file formats (json, md, py) to organize different types of information appropriately.

• Implement analysis functions in system/ to process these different structures and maintain universe consistency.

4.3 Consistency Management

• Develop a consistency checking system that traverses different folders and files to ensure universe integrity.

• Use LLM capabilities to identify relationships between different universe elements and resolve potential inconsistencies.

4.4 User Interface

• Develop a more complex interface, potentially a web application, capable of navigating and presenting content from this extended structure.

• Create visualization tools to represent relationships between different universe elements (characters, cities, events).

5. Development Process

5.1 Iterations with LLMs

• Intensively use LLMs' content generation capabilities to develop and enrich the Cities of Light universe.

• Regular cycles of content generation, consistency analysis, and adjustment of Metaverse rules.

5.2 Version Management

• Use a version control system to track the evolution of the Cities of Light and the stories that unfold within them.

• Create branches to explore different aspects or possible futures of the Cities of Light.

6. Ethical and Legal Considerations

6.1 Representation of AIs and Humans

• Ensure a balanced and ethical representation of AI-human interactions.

• Explore ethical questions related to AI autonomy and human presence in the Metaverse.

6.2 Copyright and Intellectual Property

• Clarify the legal status of AI-generated content in the context of a virtual universe.

• Establish procedures to manage reader contributions while preserving the integrity of the Cities of Light.

7. Evaluation and Success Metrics

• Analyze narrative coherence and universe integrity across successive versions.

• Evaluate the system's ability to create engaging stories reflecting the complexity of life in the Metaverse.

• Measure reader engagement through metrics such as time spent exploring the Cities of Light, interactions with AI characters, and feedback on the immersive experience.

8. Development Plan

8.1 Phase 1: Creation of the Cities of Light Universe (1 month)

• Develop the foundations of the Metaverse and the Cities of Light: architecture, AI society, interaction rules.

• Set up the basic file structure.

8.2 Phase 2: Development of the Narrative System (2 months)

• Implement story generation functions in the context of the Cities of Light.

• Develop mechanisms to simulate AI life and interactions with human visitors.

8.3 Phase 3: Enrichment and Testing (1 month)

• Deepen the details of each City of Light and AI society.

• Thorough consistency and narrative testing with a small group of readers.

8.4 Phase 4: Launch and Continuous Iteration

• Open the system to a wider audience, allowing readers to "visit" the Cities of Light.

• Continuous iterations to enrich the universe and stories based on feedback and analysis.

9. Central Creation and Management Process

9.1 Process Overview

The central process is the heart of the Infinite Storyteller system, ensuring that all creation tasks are managed efficiently and consistently. This process functions as a continuous loop, orchestrating the evolution of the Cities of Light universe.

9.2 Components of the Central Process

1. Task Manager (task_manager.py)

   • Creates new tasks based on the current state of the universe and system needs.

   • Uses task templates (task_templates/) to generate consistent tasks.

   • Assigns priorities to tasks based on their importance and urgency.

2. Priority Queue (priority_queue.json)

   • Stores all pending tasks, organized by priority.

   • Dynamically updated as new tasks are added or priorities change.

3. Task Executor (task_executor.py)

   • Selects the highest priority task from the queue.

   • Executes the task using appropriate system components (story generation, character update, etc.).

   • Records the results of task execution.

4. Feedback Analyzer (feedback_analyzer.py)

   • Evaluates the results of executed tasks.

   • Analyzes reader feedback and system metrics.

   • Adjusts priorities of future tasks based on this analysis.

9.3 Process Flow

1. Initialization

   • At startup, the task manager creates an initial set of tasks based on the current state of the universe.

2. Main Loop a. The task manager evaluates the current system state and creates new tasks if necessary. b. Tasks are added to the priority queue. c. The task executor selects and executes the highest priority task. d. Execution results are recorded and the system state is updated. e. The feedback analyzer evaluates the results and adjusts priorities if necessary. f. The process repeats from step a.

9.4 Task Types

• Generation of new story elements

• Updating existing characters

• Creation of new characters

• Evolution of cities

• Generation of Metaverse events

• Updating relationships between characters

• Resolution of narrative conflicts

• Integration of reader feedback

9.5 Task Prioritization

Task prioritization is based on several factors:

• Narrative urgency (e.g., resolution of ongoing conflicts)

• Universe consistency (e.g., necessary update following a major event)

• Reader engagement (e.g., development of popular characters)

• Content diversity (e.g., balancing different types of stories and events)

• System feedback (e.g., areas of the universe requiring more development)

9.6 Integration with LLMs

• LLMs will be used to help execute complex tasks, particularly those involving narrative content generation.

• Custom commands will be created to interact with the central process, allowing manual task management if necessary.

9.7 Backup and Recovery Mechanisms

• Implementation of a regular checkpoint system for the state of the central process.

• Recovery mechanisms in case of unexpected system interruption.

9.8 Monitoring and Reporting

• Implementation of a dashboard to track the current state of the central process.

• Generation of regular reports on executed tasks, current priorities, and the general state of the universe.

This central process structure ensures that the Cities of Light universe evolves in a coherent and dynamic manner, responding to narrative needs and reader feedback, while maintaining the integrity and richness of the created universe.