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Test recording
MixChefAI — AI recipe studio walkthrough
112,261 ms · 2,363,090 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 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, 1100); await new Promise(r => setTimeout(r, 250)); await anim(max, 0, 650); })()";
await page.route(/googletagmanager|google-analytics|posthog|hotjar|clarity\.ms|segment\.io/, function (r) { r.abort().catch(function () {}); });
stepLogger.log('Scenario 1: MixChefAI studio, signed in with credits');
await page.goto(baseUrl + '/index.html', { waitUntil: 'domcontentloaded' });
await page.waitForTimeout(3500);
await page.screenshot({ path: shot(1, 'studio-signed-in'), fullPage: true });
stepLogger.log('Scenario 2: Fill the pantry with staples and spices');Checks run
Notes from the demo run
AI-generatedWe signed up for MixChefAI with email and password, landed straight in the studio with credits, and ran your actual generate flow on camera: pantry staples, cooking equipment, cuisine, exclusions, then four fridge ingredients into the studio bar. Twenty seconds later the recording shows three complete plated Italian recipes with macros, timings, numbered method and a kitchen advisory each. We then walked the recipe library, account overview, subscription and preferences.
- Signup to first result with nothing in the wayEmail plus password, no verification gate, no onboarding wizard, straight into the studio with 10 credits. We generated a real recipe within a minute of creating the account. In 2026 that is genuinely rare and it is your strongest asset.
- The output is a real recipe, not a blob of textEach result carries calories, protein, carbs, fat, cook time, an ingredient tag row, numbered method steps with the timings highlighted, and a Kitchen Advisory explaining the technique. Three variations per generation gives a real choice.
- Constraints are first-class, not buried in a promptPantry, equipment, country, category and exclusions are separate fields above the ingredient bar. Telling the model you only have an oven and a cast iron pan, and that shellfish is out, is a form field rather than prompt-engineering.
- 500-recipe library covers the cold startThe library gives a new account something to browse before spending a credit, which softens the empty-cookbook problem most generative tools have on day one.
- Credits burn before you understand the costOur first generation dropped the balance from 10 to 9 with no confirmation, and Advanced Mode is labelled 2 CREDITS while standard generation is not labelled at all. Showing the cost on the GENERATE RECIPES button itself would stop the first-time user feeling they spent something without being asked.
- Two of three result images stayed on Rendering visualIn our run the first recipe rendered its plated photo but the other two still showed a Rendering visual placeholder when the result settled, and the page kept a Plating and garnishing for the photo pass banner. The text was complete and usable, so streaming the cards in as each image finishes would read better than three cards where two look broken.
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