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Test recording
Moxie Docs — app walkthrough
45,952 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/, r => r.abort());
// Public: 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-generatedMoxie Docs is a documentation platform that indexes your GitHub codebase and exposes it via MCP (Model Context Protocol) for AI coding assistants. The onboarding flow is clear: connect GitHub, start trial, generate index. The workspace dashboard shows repo coverage, file counts, and has a built-in feedback collection system.
- Onboarding wizard3-step setup: Connect GitHub, start 14-day trial, generate docs index - clear value proposition
- MCP integration pageDedicated /dashboard/mcp page with connection instructions for Claude, Cursor, and other AI tools
- Beta Public Site/dashboard/public-knowledgebase - publish docs as a public searchable knowledge base
- Billing pageFree tier with trial; paid plans unlock more repos and team members
- Content sectionSidebar toggle to navigate documentation content structure
- Dark modeToggle between light and dark modes for the workspace
- Feedback buttonIn-app feedback form accessible from all dashboard pages
- GitHub App install CTAProminent /api/integrations/github/install link as primary onboarding action
- Coverage metricsWorkspace at-a-glance panel shows docs coverage and file statistics
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