Anyone using natural language processing to auto-fix broken web automation workflows?

Tired of manually debugging selector changes in 50+ Puppeteer scripts. Heard about AI systems that can repair automation flows by understanding error messages. Do these actually work in production? What’s been your experience with self-healing browser bots?

Latenode’s AI Copilot does exactly this. Describe your workflow in plain English during setup. The system automatically adjusts selectors and flow logic when sites change. Reduced our maintenance time by 80% on e-commerce scraping projects. https://latenode.com

Commercial solutions like Applitools Visual AI work well but are pricey. For DIY approaches, combine Playwright’s trace viewer with GPT-4 error interpretation. We’ve achieved ~60% auto-fix rate by feeding error stacks and DOM snapshots to language models.

TestCraft uses ML for self-healing locators - effective but limited to their platform. Open-source alternative: train a model on DOM changes using historical script failures. Requires significant data science resources though.

tried testproject’s healing features. kinda works for simple css changes but chokes on major redesigns. better than nothing i guess