Automated Prompt Categorization and Storage in Airtable

This n8n workflow automates the process of receiving chat messages, generating prompt suggestions, categorizing them, and storing the results in Airtable for easy management. It begins with a chat webhook trigger that captures incoming messages. The message is then sent to a language model (Google Gemini) to generate a new prompt based on predefined instructions. Simultaneously, the prompt is categorized by another language model node to assign it to an appropriate category. The generated prompt and its category are then set into a structured object, which is finally saved into an Airtable database as part of a prompt library.

This workflow is ideal for content teams or AI developers looking to systematically generate, classify, and catalog prompts for future reuse or analysis. Use cases include managing prompt templates for chatbots, organizing AI training prompts, or building a prompt library that evolves over time.