> ## Documentation Index
> Fetch the complete documentation index at: https://docs.budecosystem.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Creating Your First Dashboard Workflow

> Build a repeatable dashboard-based operating routine for model and platform health

This tutorial helps you establish a practical review workflow for platform operations using the Dashboard module.

## What You'll Build

A reusable operating checklist that:

1. Reviews demand and capacity indicators
2. Flags latency or throughput regressions
3. Validates model quality and token usage shifts
4. Produces a clear action list for owners

```mermaid theme={null}
graph LR
    A[Daily Review] --> B[Demand and Readiness]
    B --> C[Performance Validation]
    C --> D[Quality and Cost Check]
    D --> E[Actions and Owners]
    E --> F[Follow-up Verification]
```

## Step 1: Prepare a Baseline Window

1. Open Dashboard.
2. Set all core charts to **LAST 7 DAYS**.
3. Record current values for API calls, latency, throughput, and top model usage.

## Step 2: Run a Demand and Capacity Pass

1. Review **Total Requests** trend and delta.
2. Compare **running endpoints** with recent load behavior.
3. Check **inactive clusters** to identify resilience risk.

## Step 3: Run a Performance Pass

1. Inspect **API Calls** by project to find heavy consumers.
2. Inspect **Latency** for project-level outliers.
3. Inspect **Throughput** for efficiency regressions.

## Step 4: Run a Model Quality and Cost Pass

1. Review **Model Usage** top models.
2. Review **Accuracy** benchmark spread across those models.
3. Review **Token Metrics** for input/output shifts.

## Step 5: Produce an Action Register

Create a short table for your team:

| Priority | Issue                                    | Owner        | Action                              | Due |
| -------- | ---------------------------------------- | ------------ | ----------------------------------- | --- |
| P1       | Example: Latency regression in Project A | Platform Eng | Inspect deployment scaling and logs | 24h |
| P2       | Example: Output tokens up for Model X    | Applied AI   | Tighten prompt and max token policy | 48h |

## Step 6: Verify Outcomes

1. After changes, revisit Dashboard in the same window.
2. Confirm target metrics moved in the expected direction.
3. Capture before/after evidence for weekly review.

## Operational Cadence Recommendation

* **Daily (10–15 min):** anomaly detection and assignment
* **Weekly (30 min):** trend review and capacity planning
* **Monthly (45 min):** quality/cost strategy adjustments