Automated AI Prompt Refinement & Storage Workflow

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This n8n workflow automates the process of refining user prompts with AI language models, storing the enhanced prompts, and sending notifications. The process begins by monitoring a Google Sheet for new prompts, then loops through each prompt while managing execution limits to prevent overload. Using AI services such as Google Gemini or Qwen3, the workflow refines prompts by analyzing and enhancing their structure and clarity. Parsed AI responses are then validated, with structured data stored back into Google Sheets, including metadata like topic, categories, and modification notes. Users receive real-time updates via Telegram notifications about the success or failure of each prompt refinement. This workflow is ideal for content creators, AI trainers, or teams managing prompt quality, enabling continuous improvements and systematic tracking of prompt modifications.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.lmChatGroq, @n8n/n8n-nodes-langchain.memoryBufferWindow, code, googleSheets, googleSheetsTrigger, noOp, set, splitInBatches, stickyNote, switch, telegram

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