How to Evaluate and Test Agentic Workflows in n8n (Step-by-Step Guide)

Video Description

In this tutorial, I walk you through how to properly evaluate and test workflows in n8n so your automations don’t silently fail in production. Most n8n workflows run — but that doesn’t mean they’re correct, reliable, or safe to ship. In this video, you’ll learn how to move beyond “it executed” and start measuring real performance using n8n’s workflow evaluation features. What you’ll learn: - What workflow evaluation in n8n actually is (and why it matters) - How to set up evaluation datasets correctly - Common mistakes that cause undefined errors and false results - How to test AI-powered workflows and agents reliably This video is especially useful if you’re building: - AI agents in n8n - Client-facing automations - Production workflows that must be reliable - Complex decision-making workflows using LLMs If you’ve ever said “it worked yesterday”, this tutorial is for you. 🔗 Chapters: 00:00 – Intro 02:27 – What workflow evaluation really means 05:30 – Setting up evaluation data 04:03 – Pre-evaluation requirements 07:13 – Metrics you can test 08:31 – How yo use Evaluations in N8n 12:45 – N8n Evaluation Nodes 14: 10 – Evaluating Categorization 31:47 – How to evaluate AI Tools Used 36:05 – Evaluating AI Correctness 41:35 – Evaluating String Similarity