This n8n workflow automates the creation and distribution of language learning flashcards, making language practice more efficient. The process begins with a manual trigger or Telegram message input, where the user submits a word or sentence. The message is processed by an AI language model (GPT-4) configured as a helpful translation agent, which generates concise translations and example sentences for the input.

The AI output is then structured into a JSON format and sent to a Google Sheets document, automatically appending a new row with the flashcard front (the original message), translation, and example sentences. Once the flashcard data is stored, the workflow sends the flashcard back via Telegram for quick review.

Additional components include sticky notes that provide visual guidance during setup, making it user-friendly. This workflow is ideal for language learners, teachers, or anyone who wants to build a personalized flashcard deck efficiently, leveraging AI to generate learning content in real-time.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, googleSheets, manualTrigger, set, stickyNote, telegram, telegramTrigger