I’ve been testing the AI Copilot feature to generate workflows from text descriptions, specifically targeting webkit rendering scenarios. The idea is simple: instead of manually building out each step for dynamic content extraction, you just describe what you need and it spits out a ready-to-run workflow.
So here’s what I found. The copilot does a decent job with straightforward tasks—like basic form filling or simple data extraction. But webkit pages with dynamic content and rendering delays seem to trip it up. The generated workflows sometimes miss wait conditions or don’t account for elements that load asynchronously.
What actually worked was being very specific in my description. Instead of saying “extract product data from a dynamic page,” I had to say “wait for the product list to fully load, then extract title, price, and availability.” That precision helped.
I also noticed the generated workflows need tweaking after deployment. The copilot gets you maybe 70% of the way there, but that last 30% requires manual refinement—especially when pages have rendering quirks.
Has anyone else used the copilot for webkit-specific extractions? Did you find the generated workflows were reliable, or did you end up customizing them heavily anyway?
The copilot handles this way better now than it did even six months ago. What you’re describing—needing to be specific about rendering waits—is exactly where Latenode shines.
Here’s the thing: the AI Copilot actually learns from those descriptions and builds in the right wait conditions when you mention rendering delays. You can also use the headless browser node to take screenshots and validate that content actually loaded before proceeding. This catches the dynamic content issues before they become workflow failures.
The real win is that once you get that 70% working, you can use AI-assisted debugging to fix the remaining issues without rewriting the whole thing. Screenshot the problem, describe what’s wrong, and the copilot suggests corrections.
For webkit scenarios specifically, pair the copilot with the screenshot capture feature and you’re looking at a much more reliable automation. That’s basically what we do internally for complex extractions.