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Test recording
myTreep — app walkthrough
66,365 ms · 45,445 pixels changed
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export async function test(page, baseUrl, screenshotPath, stepLogger) {
// Storage-state replay (attached via setupOverrides.extraSteps) authenticates
// this context before the test body runs — no inline login needed.
const shot = (n, slug) => screenshotPath.replace('.png', `-${n}-${slug}.png`);
const settle = () => page.waitForLoadState('networkidle').catch(function () {});
const SCROLL_THROUGH = "(async () => { const ease = t => 1 - Math.pow(1 - t, 3); const max = Math.max(0, document.body.scrollHeight - window.innerHeight); if (max < 40) return; const anim = (a, b, ms) => new Promise(res => { const t0 = performance.now(); const step = now => { const p = Math.min(1, (now - t0) / ms); window.scrollTo(0, a + (b - a) * ease(p)); p < 1 ? requestAnimationFrame(step) : res(); }; requestAnimationFrame(step); }); await anim(0, max, 1400); await new Promise(r => setTimeout(r, 350)); await anim(max, 0, 800); })()";
const routeBlock = async (p) => {
const patterns = [
'**/cdn-cgi/scripts/**/email-decode.min.js',
'**/cdn-cgi/scripts/**/cloudflare-static/**',
'**/sentry-cdn.com/**',Checks run
Notes from the demo run
AI-generatedmyTreep leads with a friendly, illustrated Treepy the owl mascot and a clear value prop: describe your trip and get a full AI-generated itinerary in minutes. Auth is a passwordless 6-digit email code, which is friction-free once the code lands, and the app itself is a well-built mad-libs style trip-planning wizard (departure city, budget, destination, dates, trip type, interests) that produces a genuinely useful day-by-day itinerary with named venues, addresses, timing, and travel estimates.
- AI itinerary qualityThe generated 8-day Mexico City itinerary included named restaurants and landmarks with real addresses, time estimates, and local-transport notes for morning, afternoon and evening blocks each day, far more detailed than a typical AI travel demo.
- Budget guardrailWhen the initial $2,000 budget was too tight for the selected destination, the app proactively surfaced a Budget may be too tight warning with a concrete minimum of $4,490 instead of silently generating an unrealistic plan.
- Mad-libs style planner formThe fill-in-the-blank trip form (starting city, budget, destination, dates, trip type, interests) is a distinctive, low-friction way to collect structured trip parameters.
- Specific-destination search can return no strong fitsRequesting a hard-pinned destination (Lisbon, Portugal) with a flexible budget still returned No strong fits found yet, only pivoting to the Surprise me scope produced a match. Founders evaluating with a specific bucket-list city in mind may hit this wall.
- Returning-user re-entry screenClicking New treep as a returning user with an existing trip shows a Welcome back, ready for another adventure interstitial before the actual planning form, an extra click that first-time users do not see.
2 visual changes
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