Four validation checks that prevent small workflow automations from going wrong

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A developer at Allure Labs has published a demo project illustrating four practical safeguards for small file-based workflow automations. The checks address common failure points: missing required fields, duplicate submissions, unexpected input columns, and broken input files. Rather than creating incomplete tasks or passing unintended data downstream, the workflow routes problematic requests to a review list for human oversight. The repository includes sample input files, expected output files, and ten automated tests to verify consistent results. The project is presented as an educational demonstration and is publicly available on GitHub.

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