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The Dashboard serves as the primary overview screen after login, giving users visibility into system-wide activity and performance. It allows users to scope analytics by AI model, folder, and time range, and presents high-level metrics, including total requests, cost, latency, compliance score, and token usage. It also highlights trends in latency and error rates, supports different time granularities, and surfaces compliance health and risk distribution across use cases. This feature helps users quickly understand system status and make informed decisions. It is mainly used by users and administrators responsible for monitoring AI usage and compliance.
Example
A compliance lead opens the Dashboard to review the past month’s activity and notices an increase in high-risk tasks associated with one specific model. By switching tothe weekly view, she confirms the trend began after a recent prompt update and decides to investigate further. 