Long form thinking on architecture, debugging, AI in production, and the messy intersection of code and business. The trade-offs, failures, and decisions that do not fit into tutorials.
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Many AI automations work in demos but collapse in real systems. This article explains why most pipelines fail and how AI workflows with n8n and OpenAI create a reliable automation architecture.

Many teams build AI features but struggle to turn them into reliable automation systems. This guide explains how to design production AI workflows with n8n, OpenAI, and vector databases to automate real business operations efficiently.