Getting Started with Lead Scoring in n8n Using GPT-4o-mini

Building a lead scoring pipeline wasn't initially on my agenda, but necessity demanded it. Working with IoT and AI in Kenya often means grappling with unreliable internet and outdated hardware. Wherever you're working, leads are vital. To prioritize sales leads cost-effectively, I decided to test n8n. It wasn't merely about saving money; I wanted to see if a low-code tool could handle such an important task. Why n8n and GPT-4o-mini? I had used n8n for other automation tasks and was intrigued by its versatility. Being open-source, it has no licensing issues or hidden fees, which is crucial on a budget. The bigger question was whether it could integrate well with GPT-4o-mini for accurate lead scoring. GPT-4o-mini attracted me with its lightweight nature compared to full GPT versions, which suited my operating conditions. A strong, stable connection isn't always available, so something needing minimal cloud interaction was essential. Setting up the workflow I set up my n8n instance, integ