Interactive AI Demos

See AI in Action

Experience how Claude + MCP tools diagnose and fix real-world system issues. Each demo showcases AI-powered troubleshooting in different domains.

Data Pipeline Monitor

Watch AI diagnose and fix ETL pipeline failures in real-time using MCP tools.

Failure Scenarios

Schema DriftVolume SpikeStale Data

Features

  • Real-time transaction monitoring
  • AI-powered root cause analysis
  • Code fix proposals with diff view
  • MCP tool call visualization
Launch Demo

Kubernetes Cluster Monitor

See AI troubleshoot Kubernetes pod failures, from OOMKilled to CrashLoopBackOff.

Failure Scenarios

OOMKilledCrashLoopBackOffImagePullBackOff

Features

  • Live cluster status dashboard
  • Pod logs and kubectl describe
  • YAML manifest analysis
  • Deployment fix proposals
Launch Demo

CISO Security Response

Experience AI-driven incident response for security threats in your SOC.

Failure Scenarios

Brute Force AttackData ExfiltrationMalware Detection

Features

  • SIEM alert visualization
  • Threat intelligence lookup
  • Network log analysis
  • Automated remediation plans
Launch Demo

Apartment Listings Platform

See AI diagnose and fix rental platform bugs from application failures to MLS sync issues.

Failure Scenarios

Application FailureMLS SyncTenant Verification

Features

  • Listings and applications dashboard
  • Error log analysis
  • Source code inspection
  • Automated fix proposals
Launch Demo

Running the Demos Locally

Each demo runs as a standalone Next.js application with its own WebSocket server. Make sure the demos are running on their respective ports:

# Start all demos from the scale-data directory
cd demo-etl-pipeline && PORT=3001 npm run dev &
cd demo-k8s-monitor && PORT=3002 npm run dev &
cd demo-ciso-security && PORT=3003 npm run dev &
cd demo-ils-library && PORT=3004 npm run dev &