Monitoring Console

W33KND "Your Command Center for the Ecosystem"

A unified stats, tuning, and reporting console designed for the integrated ecosystem of CLE, Heirloom, and eXitZork. Real-time telemetry, model tuning infrastructure, and therapist-ready clinical reporting.

3 Apps Monitored
HIPAA Aligned
Real-time Telemetry
W33KND Console
CLE Heirloom eXitZork
Router Decisions
1,247
+12%
Avg Latency
142ms
-8%
Active Sessions
23
+5
Ecosystem Coverage

Unified Telemetry

One console to monitor your entire stack.

Cognitive Load Engine

  • Router decision tracking
  • Model performance metrics
  • Latency monitoring
  • Refusal analysis

Heirloom

  • Wellness session tracking
  • Mood trend analysis
  • User check-in rates
  • Therapist reporting

eXitZork

  • Gameplay progression
  • Puzzle analytics
  • Death loop detection
  • Session health tracking
Core Features

Complete Observability Suite

Everything you need to monitor, tune, and report on your ecosystem.

Data Plane

Ingestion API (/w33knd/v1/events) with Postgres, ClickHouse, and Redis storage for high-throughput event processing.

Control Plane

Registries for models, prompts, policies, and experiment definitions. A/B testing infrastructure built-in.

Presentation Plane

Engineering Console for developers and Clinician Dashboards for healthcare professionals.

Interactive Visualizations

Dark-themed Matplotlib charts for multi-series trends, heatmaps, and performance gauges.

Export Utilities

Automated report generation in JSON, CSV, HTML, and Markdown formats for clinical research.

Governance

HIPAA-aligned de-identification and AI risk management following NIST AI RMF guidelines.

Clinical Portal

Therapist Command Center

A fully implemented clinical portal integrating EHR-like functionalities with real-time telemetry.

Outcome Tracking PHQ-9 and GAD-7 visualization with severity mapping
Unified Roster Client list with risk status and engagement metrics
Clinical Alerts Severity-based warnings for mood spikes or drops
WHO-5 Integration Wellbeing research with behavioral phenotyping
Therapist Portal
JD
Patient #1247 Stable
PHQ-9: 4
SM
Patient #1248 Monitor
PHQ-9: 12
AK
Patient #1249 Improving
PHQ-9: 6
Technical Stack

Built for Scale

A modular CustomTkinter desktop application with panel-based architecture.

Python + CustomTkinter Modern desktop GUI framework
Postgres + ClickHouse + Redis Multi-layer storage architecture
Docker-Native Orchestration Container-ready deployment
TypeScript SDK Native ecosystem integration
analytics_engine.py
class AnalyticsEngine:
    """Real-time processing and reporting."""
    
    def process_event(self, event: Event):
        # Time-series analysis
        self.time_series.append(event)
        
        # Anomaly detection
        if self.detect_anomaly(event):
            self.alert_clinician(event)
        
        # Report generation
        self.reports.generate(
            format=['json', 'csv', 'html']
        )
Roadmap

What's Next

Upcoming features and improvements.

In Progress

LLM Observability

Enhanced tracking specifications for language model operations.

In Progress

Master Account Service

Unified authentication and data aggregation across all products.

Complete

Deep Insights & Continuous Improvement

High-fidelity tracking points and improvement logging.

Planned

Behavioral Phenotyping Pipelines

Passive biomarker correlation validation.

Take Control of Your Ecosystem

W33KND gives you complete visibility into your applications.