The biggest mistake in low-code AI development isn't choosing the wrong model—it’s relying on single, monolithic automations.
If your entire workflow breaks because one API payload shifts, you don't have a system; you have a liability.
Reliable architecture relies on three rules:
Keep sub-agents specialized and task-isolated.
Enforce strict schema validation on every data handoff.
Design fallback routes that catch errors before they hit client databases.
Build modular, build deterministic.
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