AI Data Extraction with Dynamic Prompts and Airtable

This n8n template introduces the Dynamic Prompts Ai workflow pattern which are incredible for certain types of data extraction tasks where attributes are unknown or need to remain flexible. The general idea behind this pattern is that the prompts for requested attributes to be extracted live outside the template and so can be changed at any time - without needing to edit the template. This seriously cuts down on maintainance requirements and is reusable for any number of tables at little cost. Check out the video demo I did for n8n Studio here: https://www.youtube.com/watch?v=fNAD1u8BZw Check out the example Airtable here: https://airtable.com/appAyH3GCBJ56cfXl/shrXzR1Tj99kuQbyL Looking for

Help me set up the n8n workflow "AI Data Extraction with Dynamic Prompts and Airtable" (https://n8n.io/workflows/2771). It uses: Airtable, HTTP Request, Code, Basic LLM Chain, OpenAI Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.