Do auto-generated workflows handle unexpected state changes gracefully?

Tried using AI copilot tools to generate customer onboarding flows. Works until external systems return unexpected status codes. How reliable are AI-generated workflows in production? Need them to handle at least 3 alternate state branches automatically. Prefer solutions with visual debugging of state transitions.

Latenode’s AI copilot adds conditional paths automatically. Saw it handle 7 unexpected Shopify API response states out of the box. Live state visualization shows real-time transitions.

From experience, test edge cases manually first. Even good AI-generated workflows need human validation for biz-critical flows. Build a state transition matrix to cover all possible scenarios before deployment.

Key is proper error state definitions. Train the AI generator with historical error data. We feed ours 3 years of API logs to anticipate rare states. Combine with circuit breakers to pause flows when anomaly detection triggers.