Mirror AI - AI Stress Testing Platform

Vercel
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Created by team COMPASS CREW on July 10, 2026
Hybrid Token-Efficient Routing Agent

Mirror AI is an AI-powered stress testing and security evaluation platform designed to help developers build safer, more reliable AI applications. As large language models become increasingly integrated into products and workflows, ensuring their robustness against malicious inputs, hallucinations, prompt injections, and security vulnerabilities has become a critical challenge. Our platform simulates real-world adversarial interactions by using multiple AI personas that attempt to exploit weaknesses in AI systems. Developers can connect their AI agents through REST APIs and launch automated stress tests against predefined or custom personas. Each interaction is analyzed using an AI-powered evaluation engine that measures response quality, detects hallucinations, identifies prompt injection attempts, evaluates security risks, and generates detailed reports. Mirror AI provides an intuitive dashboard for monitoring AI health, managing personas, running stress tests, viewing analytics, and exporting comprehensive reports. The platform also supports integrations with developer workflows, making it easier to identify vulnerabilities before deploying AI systems into production. Key Features: • AI-powered adversarial personas for realistic testing • Automated stress testing of AI agents • Prompt injection and jailbreak detection • Hallucination detection and risk scoring • AI health analytics and visual dashboards • Detailed security reports and recommendations • REST API-based integration for AI applications • Scalable architecture built for modern AI development Technology Stack: Frontend: Next.js, React, TypeScript, Tailwind CSS Backend: FastAPI, Python Database: PostgreSQL State Management: Zustand Deployment: Vercel & Railway Mirror AI enables developers and organizations to evaluate, secure, and improve AI systems through automated testing and actionable insights, ultimately increasing trust and reliability in production AI applications.

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