The link takes you to an interactive HTML mockup that demonstrates the proposed crisis detection and response system for veterans. This mockup progresses through different stages of a simulated conversation, showing how the system detects and responds to increasing levels of crisis indicators.

The mockup includes:

Simulated Chat Interface: Shows the conversation between the veteran and the AI system

Crisis Panel: Appears and changes based on the detected risk level

System Status Indicator: Shows the current system status and risk assessment

Memory System Indicators: Displays how the Titan-inspired memory system tracks and records crisis information

Emergency Response Screen: Demonstrates the full-screen emergency protocol for extreme risk situations

How the Demo Works The demonstration progresses through 5 key stages:

Initial Conversation: Normal interaction with subtle signs of difficulty (sleep issues)

Low Risk Detection: System detects mild concerns about mood and isolation

Medium Risk Detection: Behavioral changes trigger more prominent support options

High Risk Detection: Suicidal ideation activates high-risk protocols and provider notification

Extreme Risk Detection: Explicit suicide plan with means and timing activates emergency protocols

Integration with Titan Memory Architecture The mockup shows how the crisis detection system would integrate with the Titan memory architecture:

Surprise value calculation for different types of crisis indicators

Persistent storage of critical safety information

Context-aware risk assessment that considers previous episodes

Memory indicators showing what information has been stored

Future Optimisations For a production implementation, these optimisations will be introduced over time:

NLP Enhancement: Implement more sophisticated natural language processing for detecting subtle crisis indicators

Personalised Risk Thresholds: Adjust detection sensitivity based on individual veteran history

Response Effectiveness Tracking: Monitor which interventions successfully de-escalate situations

Asynchronous Provider Notifications: Implement reliable notification systems with delivery confirmation

Future Expansions The system could be expanded to include:

Voice Analysis: Add crisis detection for voice interactions

Biometric Integration: Connect with wearable devices to detect physiological distress signals

Predictive Crisis Prevention: Identify patterns preceding previous crises for early intervention

Location-Aware Emergency Services: Connect with local crisis response teams based on geolocation

Multi-party Crisis Response: Facilitate coordinated responses between different care team members

This mockup provides a visual representation of how the crisis detection and response system would work in practice, demonstrating the integration with the Titan memory architecture and the progressive escalation of responses based on detected risk levels.