> ## Documentation Index > Fetch the complete documentation index at: https://docs.honeyhive.ai/llms.txt > Use this file to discover all available pages before exploring further. # Dashboard > Analyze cost, latency, and quality metrics from your AI application in HoneyHive's monitoring dashboard. The Monitoring dashboard gives you a unified view of your production data so you can track performance, detect issues, and continuously improve your AI application. HoneyHive monitoring dashboard with charts for session duration, LLM call duration, token usage, and custom evaluator metrics ### How it works HoneyHive aggregates all your production data (traces, evaluations, and user feedback) in one place. This unified view lets you: * **Detect Failures:** Catch anomalies across your cost, usage, and quality metrics. * **Set Up Proactive Monitoring:** Create automated alerts to notify you when metrics exceed thresholds or drift from expected values. * **Form Hypotheses:** "I think response quality drops for after 5 agent actions." "Our new RAG might be causing unintended hallucinations." * **Explore Your Data:** Craft queries to validate or refute these hypotheses in real-time. * **Iterate Continuously:** Use insights to tweak prompts, swap models, or refine pipelines, then immediately see the impact. ### Getting Started Build custom queries and save charts to your project dashboard Configure automated evaluations to run on your production traces Set up automated alerts to catch issues before they impact users