What problem does it solve?
It helps you interpret n8n validation errors and warnings so you can correct broken node configurations quickly, instead of guessing or getting stuck in repetitive feedback loops.
Core Features & Use Cases
- Classify validation issues by severity: Understand what must be fixed (
errors) versus what is optional context-dependent guidance (warnings, suggestions).
- Guide an efficient validation loop: Apply a repeatable validate → read errors → fix → validate approach (typically 2–3 iterations) to reach a deployable configuration.
- Select the right validation profile: Use
minimal, runtime (recommended), ai-friendly, or strict depending on whether you are editing, pre-deploying, or hardening for production.
- Handle common validation failure modes: Diagnose problems like
missing_required, invalid_value, type_mismatch, invalid_expression, and invalid_reference, including when to trust n8n auto-sanitization (e.g., operator structure).
- Reduce false positives with policy: Decide when warnings are acceptable and how to document the rationale for keeping them.
Quick Start
Ask the AI to “Explain this n8n validation result, categorize the issues by severity, and propose the smallest set of fixes to make the workflow pass using the runtime profile.”
