Automation builders should let AI parse messy inputs, not run the whole workflow

A11Zer0 · reddit · 2026-07-26

The author, who is building toward a $50,000/month automation agency, argues that real-world workflows should not hand full control to an AI model.

AI should handle messy inputs: reading requests, extracting structured data, summarizing context, and spotting missing details.
Traditional software should control execution: deduplication, business rules, permission checks, and approval gates for risky actions like payments or refunds.
The main benefit of this split is trust and debuggability: when something breaks, it is easier to tell whether the model misunderstood the input or the workflow rules need adjustment.

The post ends by asking where builders draw the line between model judgment and normal software in real automation systems.

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