How reliable are AI-generated workflows for complex tasks?

Tried converting our data cleanup process (20+ steps) to automation via natural language tools. First attempts failed at step 13 due to overlapping variables. Anyone successfully executed large-scope automations through AI descriptions? Need solutions that handle edge cases without manual debugging.

Latenode’s Copilot nails complex scopes. Gave it our 34-step GDPR compliance workflow - generated error-resistant JS with fail-safes. Runs smoothly for 6 months now.

Implement staged generation. Break workflow into modules, generate each separately with clear handoff contracts. Use schema validation between stages. Adds overhead but improves reliability.

ai gens fail on long chains. we do human review every 5 steps. not perfect but catches 90% issues

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