The system is designed for peak performance with sub-millisecond response times, 99.9% uptime, and adds advanced ML-powered insights and predictions.

The platform supports multi-client management from a single dashboard with data isolation, role-based access control, and client-specific analytics dashboards.

A developer quickstart demonstrates easy integration with OpenAI models (GPT-4o and GPT-3.5-turbo) and includes a code snippet to initiate a chat completion.

The platform automates AI interaction detection and real-time monitoring with alerts, built on a secure multi-tenant architecture with granular RBAC for client management.

Current usage metrics show 24 active clients, 1,247 interactions today, an average response time of 0.3 seconds, and a 99.8% success rate.

Tokyo AI Interaction Tracking is introduced as a platform to monitor, analyze, and optimize AI interactions across multiple clients with zero-code integration.

Real-time analytics, live dashboards, and instant insights empower users to monitor AI interactions as they happen.

Zero-code integration lets existing AI systems be tracked without changes, while enterprise security provides end-to-end encryption and compliance.