A/B Split Testing for Chatbot Prompts with n8n and OpenAI

This n8n workflow enables A/B split testing of chatbot prompts to optimize responses using OpenAI’s GPT-4 model. When a chat message is received, it checks whether the session already exists in a Supabase database. If not, it creates a new session and randomly assigns it to either a baseline or an alternative prompt. The selected prompt is then used to generate a response from GPT-4, with chat history stored in Postgres to maintain context. This setup allows businesses to test different prompt variations systematically and measure their effectiveness in real-time communication scenarios. Practical applications include optimizing chatbot responses, testing new prompts, or comparing different language model configurations to improve user engagement and satisfaction.