Problem
Teams using AI models need a place to monitor costs, latency, quality, incidents, traces, and evaluation signals.
Portfolio
Dashboard prototype
AI Ops Monitoring Dashboard
A model operations dashboard for tracking model latency, cost, quality, alerts, traces, evaluations, and workflow controls.
Automation
The dashboard organizes model health, cost allocation, quality trends, incident timelines, traces, and workflow control views.
Output
AI systems become easier to inspect and manage from one operational interface.
Build details
Tools and proof points.
ReactViteReact FlowRechartsTanStack TableZustand
Highlights
- Includes model health, cost allocation, quality trends, incident timeline, and evaluation views
- Shows AI workflow components like prompt router, retrieval cache, model pool, and guardrails
- Built for clear portfolio proof around AI observability and operations dashboards