Building Production Multi-Agent Workflows in n8n: What 50 Deployments Taught Us
Ankit Dhiman
Most n8n AI workflow tutorials end at "it worked in testing." The gap between a demo and a production system handling 10,000 items/day with real money on the line is where the interesting problems live. At Chronexa , we've built 50+ multi-agent workflows for fintech compliance teams, legal document processing, AI SDR engines, and RAG-powered research assistants. Here's what we've learned about making them reliable. 1. Design Failure as a First-Class Concern Most n8n tutorials wire main[0]\ . Pro