SCRIBE Resonance AI System Wiki

SCRIBE Resonance AI System - Documentation

Documentation
Technical Reference

SCRIBE Resonance AI System Wiki

Overview

The SCRIBE (Sonic Resonance Intelligence and Behavioral Exploration) system is an advanced resonance intelligence platform that uses acoustic signals to analyze and interpret environments, materials, and structural properties through active sensing and AI-powered pattern recognition.

Wiki Navigation

System Architecture

  • Core system design and components
  • Data flow and integration patterns
  • Technology stack and dependencies

Components

  • Detailed component documentation
  • Module specifications and interfaces
  • Integration guidelines

API Documentation

  • REST API endpoints and usage
  • Request/response formats
  • Authentication and error handling

User Guide

  • Getting started tutorials
  • Command reference
  • Best practices and examples

Developer Documentation

  • Development setup and environment
  • Code contribution guidelines
  • Testing and debugging

Troubleshooting

  • Common issues and solutions
  • Debugging guides
  • Performance optimization

Deployment

  • Installation and setup
  • Configuration management
  • Production deployment

Quick Start

For Users

  1. Start the system: ./start_interactive.sh
  2. Get help: Type help in the chat interface
  3. Perform a scan: Type /scan or ask "What did you detect?"

For Developers

  1. Setup environment: ./deploy.sh
  2. Run tests: python3 validate_system.py
  3. Start API server: ./start_api.sh

System Status

  • All components operational
  • 7/7 validations passing
  • Mock audio system active
  • Chat interface ready
  • API endpoints available

Quick Links

Contributing

This wiki is maintained alongside the SCRIBE system. For contributions:

  1. Edit the relevant markdown files
  2. Update navigation links
  3. Test all links and references
  4. Update the table of contents

Support

For questions or issues:


Last Updated: 2026-05-06
Version: 1.0.0
Status: Production Ready