Validation (input)
Checking that data meets required constraints before it enters a workflow. Examples: verifying an email is properly formatted, a date is in the future, a required field is not null. Validation at the entry point prevents downstream failures.
Expert insight
Validation that happens only at the very end of a workflow, after several steps have already acted on the data, means bad data can trigger real side effects (an email sent, a record created) before the invalid data is even caught. Validating as early as possible, ideally right after the trigger, limits the blast radius of bad input.
How PURIST uses this
This concept is built into every automation we deploy.
When PURIST builds your automation, Validation (input) is not an optional consideration it is part of the production standard. Our workflows are tested against edge cases, monitored 24/7, and built to handle what happens when things don't go as expected.
Every client workflow we deploy in the Data category is designed with this principle in mind from day one not added as an afterthought.
Complexity level
Anyone can understand this no technical background needed.
Related terms
See it in action
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