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Test recording
MetaOp.ai — app walkthrough
24,223 ms · 0 pixels changed · matches baseline
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export async function test(page, baseUrl, screenshotPath, stepLogger) {
const shot = async (n, slug) => {
await page.screenshot({ path: `${screenshotPath}_step${n}_${slug}.png`, fullPage: true });
};
await page.route(/google-analytics|googletagmanager|hotjar|intercom|segment|amplitude|mixpanel|clarity\.ms/, r => r.abort());
// Step 1: Marketing home
await page.goto(baseUrl, { waitUntil: 'domcontentloaded' });
await page.waitForTimeout(800);
await shot(1, 'home');
stepLogger.log('Marketing home');
Checks run
Notes from the demo run
AI-generatedMetaOp.ai is a personal AI reflection tool that organizes your narratives into structured spaces. After completing a multi-document onboarding (Terms, Privacy, Legal, Ethics), users land in a dark-themed dashboard with nav sections: Spaces, Entities, Explore, Cross-Space AI, Activity, and Settings. The Work space created during onboarding surfaces entity tracking with a 0-entity count card. The app has a very deliberate, structured feel with bottom watermarks and minimal UI.
- Onboarding flow4-document agreement wall (Terms/Privacy/Legal/Ethics) with scroll-to-enable Agree buttons, then name+space creation wizard
- Authenticated Spaces viewDark dashboard showing the Work space with entity count and side nav icon bar
- Nav sections7 sections: Explore, Profile, Spaces, Entities, Cross-Space AI, Activity, Settings — all accessible post-login
- AI-powered reflectionMetaOpAI analyzes user-provided narratives into Signals, Events, Meta-Context, Context, and Patterns layers
- Space creationSupports Work/School/Relationship/Family/Faith/Friends/Sports/Startup/etc. with AI-guided context questions
- Privacy-first designExplicit consent logging with timestamp, IP, device fingerprint — all detailed in onboarding legal docs
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