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Performance

Resource Usage Dashboard

Visualize compute, tokens, API calls, and spend over time by feature, model, or user. Drill down and export for finance reconciliation.

Interactive demo

Resource Usage
CPU Usage
45% / 100%
45.0% utilized
Memory
62% / 100%
62.0% utilized
Tokens Used
125,000 / 200,000
62.5% utilized

Overview

How might we design resource usage dashboard so people can trust and act on AI output?

When to use

  • Ideal for enterprise AI, cost-sensitive applications, and platforms where visualizing resource usage helps with cost management and optimization.

When to skip

  • Individual consumer chats with no team billing.
  • Dashboards updated daily when real-time limits matter.
  • Charts with no export for finance reconciliation.

Rules

  • Aggregate only with no drill-down.

  • Surprise bill with no prior trend chart.

  • Mixing test and prod usage without filter.

  • Metrics that omit embedding and tool call costs.

Evidence

ProductImplementation
Cloud platformsBilling consoles with service breakdowns.
API management toolsPer-key usage and quota charts.
Enterprise AIWorkspace admin usage by model and seat.
Developer dashboardsOpenAI and Anthropic console usage graphs.

FAQ

What charts belong?

Spend over time, tokens by model, top features by cost, and quota headroom.

Dashboard vs token usage indicator?

Indicator is inline quota. Dashboard is historical analysis.

Alerts?

Threshold emails or webhooks before hard limits hit.

Team visibility?

Role-based: users see self, admins see org aggregates.