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When should a data workflow use AI instead of rules?

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Rules are usually better when the decision is stable, explicit, and easy to test: required fields, date formats, thresholds, and permission checks. AI helps when inputs are unstructured, language-heavy, or variable: classifying feedback, extracting themes, drafting explanations, or routing messy documents.

A strong workflow often combines both. Rules validate inputs and enforce policy; AI produces a suggestion; a human handles high-risk or low-confidence cases.

Where have you found the boundary between deterministic rules and AI most useful?
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Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.
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