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PURIST
30 days
Money-back window
14 h/wk
Modeled time saved
99.97%
Uptime SLA
< 7 days
Deploy time
PURIST AI
Claude Opus 4.7 · n8n v1.71 · <80ms
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Data
Intermediate

Input validation

Checking that incoming data meets required formats and constraints before processing it. Example: verifying an email address is valid format, a phone number has the correct number of digits, and a required field is not empty before writing to a CRM.

Expert insight

Input validation that only checks a field is non-empty, not that it's in the expected format, catches only the most obvious bad data. A phone number field validated as "not empty" still lets through "asdf" or a string of the wrong length, validation needs to check shape and plausibility, not just presence.

In a real workflow

Emails, phone numbers and amounts are checked before the workflow creates records.

Common mistakes

  • Validating only in the frontend.
  • Rejecting data without telling anyone.

Complexity level

Intermediate

Requires some familiarity with automation concepts.

Quick facts

Category Data
Level
Intermediate

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