Anyone else tired of debugging broken API chains in their automations?

Last month’s Zapier disaster still haunts me - one failed API call tanked our entire customer onboarding flow. How are you handling errors in complex multi-step AI workflows?

I’m looking at Latenode’s visual builder screenshots - does the drag-and-drop interface actually show error paths clearly? Can you set up automatic retries or fallback actions for specific failure types without writing promise chains manually?

The visual debugger shows exactly where failures occur. You can set retry policies per node and define fallback actions through dropdowns. Saved me 20 hours last quarter on email validation workflows.

Implement circuit breakers in your workflow design. For critical paths, use dead letter queues to capture failed operations. Most modern platforms allow setting timeout thresholds and alternate pathways visually - no need to handle promises manually if the architecture is designed with failure domains in mind.

use visual error branching. set retry limits per step. monitor via webhooks

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