# Sentry dashboard builder.  Error analytics with AI.

Connect to Sentry, build custom error dashboards, monitor release stability, and automate incident response — just by asking.

---

**InsufficientStockError**  
error 2,847 events  
**InsufficientStockError:** Requested 5 units of SKU-8847, but only 2 available

```javascript
return fn(req, res, next);
```  
**src/middleware/auth.ts:** 
```javascript
const token = await verifyJWT(req.headers.authorization);
```  
**src/services/user.ts:** 
```javascript
const user = await db.query('SELECT * FROM users WHERE id = $1', [id]);
```  
**src/controllers/order.ts:** 
```javascript
const inventory = await checkStock(items);
```  
**src/services/inventory.ts:** 
```javascript
throw new InsufficientStockError(sku, requested, available);
```

**First seen** 2h ago 412 users affected release v2.4.2

## Every severity, at a glance.

camelAI pulls your Sentry data and builds severity-aware dashboards that show what matters most — right now.

| Severity  | Count | Change             |
|-----------|-------|--------------------|
| Fatal     | 3     | +2 vs yesterday     |
| Error     | 847   | -12% vs yesterday   |
| Warning   | 2,391 | +3% vs yesterday    |
| Info      | 14,208| stable              |

## Track stability across releases.

See which deploys introduced regressions and which ones cleaned things up. camelAI builds release-aware error dashboards automatically from your Sentry data.

| Release | Date  | Error Delta | Crash-free | New Issues |
|---------|-------|-------------|------------|------------|
| v2.4.0 | Mar 1 | -8%         | 99.7%      | 2          |
| v2.4.1 | Mar 5 | +2%         | 99.5%      | 1          |
| v2.4.2 | Mar 8 | +47%        | 97.2%      | 14         |
| v2.5.0 | Mar 12| -31%        | 99.8%      | 3          |
| v2.5.1 | Mar 15| +5%         | 99.1%      | 5          |

## Beyond the alert.

Sentry tells you what broke. camelAI builds the dashboard to understand why and how often.

### Pattern Detection

Sentry: Groups similar errors  
camelAI: Builds dashboards showing error correlations across services, deploys, and user segments. Surfaces patterns Sentry's grouping misses.

### Root Cause Analysis

Sentry: Shows the stack trace  
camelAI: Cross-references error spikes with deploy timelines, config changes, and traffic patterns to pinpoint what actually caused the regression.

### Impact Assessment

Sentry: Counts affected users  
camelAI: Builds impact reports: revenue at risk, SLA budget consumed, affected customer tiers. Gives you the business context to prioritize fixes.

## From raw issues to real insight.

Ask camelAI to build an issue dashboard and get a live, filterable view of your Sentry data — deployed to a shareable URL.

**Error Dashboard — Production**  
**3 critical**

**Error Rate (last 24h)**

```plaintext
Errors Spike
5002500
00:0006:0012:0018:0023:00
```

| Issue                      | Events | Users | First Seen | Last Seen |
|----------------------------|--------|-------|------------|-----------|
| **InsufficientStockError** | 2847   | 412   | 2h ago     | 14s ago   |
| **fatalDatabaseConnectionTimeout** | 156   | 89    | 2m ago     | 45m ago   |
| **warningRateLimitExceeded**       | 8291  | 1204  | 1m ago     | 3d ago    |
| **errorPaymentProcessingError**    | 94    | 67    | 8m ago     | 6h ago    |
| **errorInvalidTokenError**         | 531   | 298   | 32s ago    | 1d ago    |

Showing 5 of 127 unresolved issues.

## Automated incident response.

Set up a cron job that monitors your Sentry error rate every hour. When errors spike above your baseline, camelAI posts a summary of the top new issues to Slack — before your customers notice.

- Hourly error rate checks against 7-day baseline
- Automatic Slack alerts with top issues and affected users
- Release regression detection on every deploy
- Custom thresholds per project and environment

```plaintext
"Every hour, check Sentry error rates. If errors spike above 2x baseline, alert #incidents in Slack with the top 5 new issues."
```

```plaintext
Setting up cron job: 0 * * * *
Connecting to Sentry API...
Baseline error rate: 12.4/min (7-day avg)
Threshold configured: >24.8/min triggers alert
Slack webhook: #incidents channel configured
Cron job active. Next run: 14 minutes.
```

## What will you build on your Sentry data?

- “Connect to our Sentry project and build a release stability dashboard. Show crash-free rate, new issues, and error deltas for each release over the last 30 days.”  
- “Pull all unresolved issues from Sentry, group them by service, and build an impact dashboard showing affected users, event frequency, and revenue at risk per issue.”  
- “Analyze our Sentry error trends for the past week. Correlate spikes with our deploy log and build a report showing which commits introduced the most regressions.”  
- “Set up an hourly cron that checks our Sentry error rate. If it exceeds 2x the baseline, post a summary of the top new issues to #incidents in Slack.”

## Your errors are already tracked.

Now make them actionable.