Avoid Asking Redundant Questions with Dynamically Generated Forms using OpenAI

Avoid Asking Redundant Questions with Dynamically Generated Forms using OpenAI Target Audience This workflow has been built for those who require a form to capture as much data as possible as well as the answers to predefined questions, whilst optimising the user experience by avoiding asking redundant questions. Use Case When creating a form to capture information, it can be useful to give the user an opportunity to input a long answer to a large, open-ended question. We then want to drill down to answer specific questions that we require the answer to. When doing this, we don't want to ask duplicate questions. This particular scenario imagines an AI consultancy capturing leads. What it Doe

Help me set up the n8n workflow "Avoid Asking Redundant Questions with Dynamically Generated Forms using OpenAI" (https://n8n.io/workflows/3062). It uses: Basic LLM Chain, OpenAI Chat Model, Structured Output Parser. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.