I’ve been reading about the AI Copilot Workflow Generation feature and how it supposedly takes a plain English description and generates a ready-to-run headless browser workflow. The idea sounds almost too good to be true, so I’m skeptical.
The common problem I keep running into is that headless browser automation is brittle. You write something, it works once, then boom—the page updates slightly and everything breaks. Login flows are especially annoying because they’re so fragile and context-dependent.
I’m wondering if the Copilot actually produces workflows that just work out of the box, or if it’s more like it gives you 70% of the way there and you’re still debugging JavaScript selectors and timeout issues.
Has anyone here actually tried feeding a plain text description like “log in to this site, navigate to the dashboard, scrape user stats, and export to CSV” into the AI Copilot and gotten something production-ready? Or does it still require significant tweaking to handle real-world flakiness?
The Copilot actually works better than you’d expect, but “plain production-ready” depends on how specific you are with your description.
I tested it with exactly the scenario you mentioned—login, navigate, scrape. When I described it in detail and included the specific fields I needed, it generated a workflow that ran on the first try. The key is being precise about what you want.
Where most people get stuck is they write vague prompts. “Scrape data” doesn’t work. “Log in using email field and password field, then click the dashboard button” does.
The builder lets you see exactly what it created, and you can inject JavaScript for the flaky parts. So if a selector isn’t stable, you add a quick JS snippet to handle it. That’s where the real power comes in—you’re not rewriting the whole thing, just fixing the edge cases.
I’ve used it for scraping workflows and the results depend heavily on how well you describe the steps. The AI is good at understanding the flow, but page-specific issues still need manual fixes.
One thing that helped me was being explicit about delays and wait conditions. Instead of “wait for the page to load,” I’d say “wait for the button with class ‘submit’ to be clickable.” That level of detail gets better results.
The real win is that you’re not building from scratch. Even if you need to tweak 20% of the workflow, you’re way ahead of writing Playwright scripts from nothing.
Yes, I’ve gotten it to work fairly reliably when I’m specific about the steps. The workflows it generates handle basic interactions well—clicking, typing, extracting text. Where it struggles is with JavaScript-heavy sites or when waiting for elements that load asynchronously.
What I do now is let the Copilot build the skeleton, then I add custom JavaScript for the problematic parts. The builder makes this pretty straightforward since you can see the generated code and modify it without rewriting everything from scratch.
The Copilot generates solid workflows for standard scenarios. The key limitation is that it can’t anticipate every edge case your specific site throws at you. However, the workflows it produces are significantly more stable than what most people write manually on their first attempt.
I’ve found that using it as a starting point and then refining with the visual builder and JavaScript injection gives you the best results. The time savings compared to building from scratch is substantial.