Recording of the visual regression run on plantory.ai · Plantory — app walkthrough.

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Plantory — app walkthrough

70,844 ms · 5,522,456 pixels changed

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export async function test(page, baseUrl, screenshotPath, stepLogger) {
  const shot = (n, slug) => screenshotPath.replace('.png', `-${n}-${slug}.png`);
  const join = (b, p) => p.startsWith('http') ? p : (b.replace(/\/$/, '') + (p.startsWith('/') ? p : '/' + p));
  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) => { for (const pat of ['**/cdn-cgi/scripts/**/email-decode.min.js','**/sentry-cdn.com/**','**/browser.sentry-cdn.com/**','**/cdn.segment.com/**','**/connect.facebook.net/**','**/*posthog*','**/*.facebook.com/**']) { await p.route(pat, r => r.abort()).catch(function(){}); } };
  await routeBlock(page);
  await page.context().setExtraHTTPHeaders({ 'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/132.0.0.0 Safari/537.36' });
  let n = 1;

  // ── Public: home ──
  stepLogger.log('Scenario 1: Homepage');
  await page.goto(baseUrl, { waitUntil: 'domcontentloaded' }).catch(function(){});
+144 more lines — claim the test to get the full code.

Checks run

Run
✓
Visual
100.00%
Text
—
DOM
✓
Network
+2970 −2970
Console
33 new
A11y
A
Perf
110 over
URL
176 diverged
Variables
—
Full report
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5,522,456
Diff px
1m 11s
Duration
A
Accessible
WCAG 2.2 · 100
Review
Fast
Web Vitals

Notes from the demo run

AI-generated

Plantory turns 'plan a garden' into a genuinely delightful onboarding: pick your experience level and goals, choose a garden style (Modern/Cottage/Mediterranean/Japanese) with real photography, then land in a populated workspace (a Cottage Garden Demo with 8 plants across 6 zones). The in-app shell is rich, Overview, AI Gardener, Plan, Plants, Tasks, Photos, 3D View, plus a Plant library and Identify Plant, and the AI Gardener opens with three ready prompts.

Highlights
  • Demo-garden onboarding removes the blank-canvas problem
    Choosing 'Show me the demo garden' drops you into a fully-populated Cottage Garden (8 plants, 6 zones, weather, tasks) so the product's value is visible in seconds instead of after a setup grind.
  • AI Gardener leads with intent
    The AI chat greets you with three concrete starter prompts ('Summarize what this garden needs next', 'Suggest three improvements', 'Turn this plan into a task list') rather than an empty box, which is a strong first-run pattern.
Friction points
  • Plan wall interrupts the first session
    After the visualization step, onboarding surfaces a 'Choose your plan to continue' screen ($3/mo Gardener, 14-day trial) before the workspace. It resolves via 'I'll decide later, start free', but putting a plan decision between the user and their first garden risks drop-off; consider deferring it to the first paywalled action.
  • Signed-in header still links to public Docs/Features
    From the authenticated app the top nav still exposes marketing routes (Features, Pricing, Docs); clicking Docs drops a logged-in user back onto the public documentation site rather than in-app help, a small context break worth tidying.

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