I've been working with IoT devices in environments with limited connectivity and budget constraints here in Kenya. With over 2,500 devices operational, optimizing processes is essential for me. Recently, I embarked on a project to build a lead scoring pipeline using n8n with GPT-4o-mini. Given my experience with tight budgets and intermittent connections, finding solutions that perform reliably in these conditions is always rewarding. Motivation: Why n8n and GPT-4o-mini? In searching for an efficient lead scoring solution, I chose n8n and GPT-4o-mini because they are open source and flexible. n8n is a node-based automation tool, which allowed me to set up custom workflows without excessive costs. Pairing it with GPT-4o-mini, a lightweight language processing model, was a great fit for my infrastructure constraints. I previously wrote about setting up lead scoring using these tools, but this time I aimed to create something more reliable and share how it performed in our local setup.…