Personalized Language Learning News Digests with LLaMA-3.1 & DeepSeek AI

This n8n workflow automates the creation and delivery of personalized language learning content by pulling learner data (language, level, topics) from Google Sheets. It triggers daily at 6 AM, fetches up-to-date news via the web-connected Perplexity LLaMA-3.1 model, and uses DeepSeek AI to simplify and structure the content into mobile-friendly HTML emails with grammar breakdowns and vocabulary highlights tailored to each learner's proficiency.

Key benefits include time-saving automation for educators, consistent daily practice for multilingual learners, and engaging, real-world content that combines reading comprehension, grammar, and vocab building. It leverages OpenRouter for AI access, LangChain for structured output parsing, and Gmail for seamless dispatch, ensuring scalable personalization without manual effort.

Ideal use cases: language teachers delivering classroom micro-lessons, self-learners receiving custom news digests, corporate training programs for global teams, or apps providing daily email practice. Handles multiple users efficiently with looping logic, making it perfect for growing learner bases.