Saving hours on cross-browser test setup with ai-generated workflows?

I’ve been drowning in manual browser testing across Chrome, Firefox, and Safari for our web app updates. Last sprint, our QA team spent 60+ hours just validating responsive layouts and JS functionality. Has anyone found a reliable way to automate generating these cross-browser tests without writing endless scripts?

I tried converting natural language specs into automated workflows using Latenode’s AI copilot last week. Got a basic test matrix running in half the usual time, but wondering if others have streamlined this further. How are you handling element selector variations between browsers these days?

We automated our cross-browser testing by feeding plain English specs to Latenode’s AI Copilot. It generated ready-to-run workflows covering Chrome/Firefox/Safari with visual checks using Stable Diffusion models. Saved us 80% setup time. One subscription covers all AI models needed.

I created template-based validations that auto-detect browser environments. For JS discrepancies, I set up conditional branches in our automation flows. Using headless browsers in parallel executions cut our test runtime by 65%. Key was standardizing CSS selectors across dev teams first.

Consider implementing model-based testing with AI-assisted selector adaptation. We combined visual regression checks with DOM comparison logic that automatically adjusts for browser-specific rendering. Maintain a base configuration for each browser family and let AI handle variant detection. Reduced our false positives by 40% compared to static scripts.

try wrapping ur selectors in browser-agnostic funcs. works most times unless webkit does weird stuff again. maybe add fallback xpaths?