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[Audio] Hello, we are Kernel Commanders presenting our HackWars concept..
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[Audio] Here is our agents for discussion.. The Problem.
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[Audio] Problem Statement. Problem Statement.
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[Audio] The problem statements that we are focusing are as below: challanges Modern AI systems are powerful—but opaque. Teams lack unified visibility into performance, reliability, and cost. Diagnosing latency, controlling token usage, and ensuring tool stability is a struggle. Current solutions are fragmented and reactive, leaving developers chasing issues instead of solving them. We need real-time, holistic insights to optimize and scale with confidence..
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[Audio] Our Solution. Our Solution.
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[Audio] The are offering a solution called AgentIQ which is an AI Agent bundled with three MCP tools. AgentIQ: AI Health & Performance Platform What is AgentIQ? A modular system integrating a React dashboard, Semantic Kernel backend, and three specialized .NET 8 MCP tools for seamless monitoring and profiling. How It Works: The AgentIQ Dashboard provides real-time visibility and control. The backend orchestrates intelligent workflows and multi-agent coordination. MCP tools deliver deep diagnostics in three critical areas: Key Features: LatencyLens: Tracks and analyses latency across system components, helping teams pinpoint and resolve performance bottlenecks. TokenTracker: Monitors token consumption, enabling cost control and efficiency for LLM-based operations. ToolPulse: Continuously evaluates the health and reliability of integrated tools, detecting failures and service outages. Why It's Exciting: AgentIQ transforms troubleshooting into proactive optimization. Empowers teams with actionable insights, driving reliability and efficiency. Sets a new standard for intelligent, modular AI operations..
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[Audio] Value Preposition. 03 Value Proposition.
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[Audio] Our value prepositions are as below: Core Benefits: Unified Monitoring: One dashboard for all agent and tool metrics—no more siloed data. Performance Optimization: LatencyLens identifies and resolves bottlenecks, improving response times. Cost Efficiency: TokenTracker reduces operational costs by tracking and controlling token usage. Reliability Assurance: ToolPulse detects failures early, ensuring robust service delivery. Competitive Advantage: Real-time, end-to-end visibility and actionable insights—far beyond fragmented legacy tools. Advanced analytics and scoring algorithms for deeper, more meaningful evaluations. Expected Impact: Up to 50% reduction in troubleshooting time. 30% improvement in system reliability and uptime. 20% savings on token-related costs. Cost: Built on open-source technologies (.NET 8, React, SQL Server). Scalable architecture minimizes maintenance overhead..
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[Audio] Implementation. 04 Implementation.
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[Audio] Structure of AgentIQ looks as below: Technical Stack: Frontend: React 19, Material-UI, Recharts for interactive dashboards. Backend: .NET 8 Web API, Entity Framework Core, Swagger/OpenAI. MCP Tools: LatencyLens, TokenTracker, ToolPulse implemented in .NET 8. Database: SQL Server for historical data and trend analysis. Automation: PowerShell scripts for seamless multi-service startup. Quick Start: Automated PowerShell script launches all services. Manual startup options for granular control. Full API documentation and MCP Inspector integration..
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[Audio] Demonstration. 05 Demonstration.
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[Audio] We have completed the end-to-end implementation of AgentIQ along with MCP Tools, but we are facing some issue during Integration, therefore, we will be showcasing the dashboard and try running MCP tools independently..
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[Audio] Thank you !. Thank You !.