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Test recording
CostGuard - AI spend monitoring dashboard
40,952 ms · 0 pixels changed · matches baseline
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export async function test(page, baseUrl, screenshotPath, stepLogger) {
const shot = (n, slug) => screenshotPath.replace('{n}', String(n)).replace('{slug}', slug);
await page.route('**/*', (route) => {
const url = route.request().url();
if (/posthog\.com|hotjar|intercom|segment|mixpanel|clarity\.ms|crisp\.chat/.test(url)) {
return route.abort();
}
return route.continue();
});
// Step 1: Dashboard overview - spend alertsChecks run
Notes from the demo run
AI-generatedCostGuard is a clean AI spend monitoring dashboard that surfaces hidden cost leaks across OpenAI, Anthropic and AWS. The post-login experience is built around actionable alerts — spend spikes, model concentration risk, and MTD pace overruns — with a sample workspace pre-populated so the value is immediately visible. Navigation covers Dashboard, Connections, Pricing and Settings, all fast-loading with a read-only first approach.
- Sample workspacePre-populated demo data means the dashboard is immediately useful — no setup needed to see real alert types
- Spend spike alertCritical alert fires when day-spend is 241% above 14-day median with a one-click Investigate path
- Concentration riskWarning when a single model (e.g. GPT-4.1) dominates 81% of spend — useful for resilience planning
- MTD forecastRunning-ahead-of-pace alert catches overruns before the invoice; bottom of dashboard shows usage activity log
- Provider connectionsOpenAI, Anthropic and AWS sample connections shown synced with last-sync timestamps and row counts
- Provider setup flowClicking a provider card opens a read-only API key configuration UI — minimal friction for onboarding
- Pricing pageSingle-plan model with transparent per-seat pricing; no feature gates highlighted
- Settings pageAccount and notification configuration with threshold controls for alert sensitivity
- A11y score 100Both runs returned perfect accessibility scores across 23 rules — strong baseline for a new product
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