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Data Validation Rules
Stop bad data at entry with validation rules.
Updated June 2026
The prompt
Design data validation rules for {{data_entry}} to prevent bad data at the source. For each field define the valid format, range, and allowed values, the required versus optional fields, cross-field rules (if X then Y), the helpful error messages to guide the person, and how to handle exceptions. Catching errors at entry is far cheaper than cleaning them later. Recommend the rules in {{tool}}, keep them strict enough to protect quality but not so rigid they block legitimate data, and note the common over-restriction mistake.
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Author
AI Khazna
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Security
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