Generate personalized language learning news digests with LLaMA-3.1 & DeepSeek AI
 Automatically generate and email level-appropriate language learning content based on trending news. This workflow reads learner preferences from Google Sheets (l...
Template notes
 Automatically generate and email level-appropriate language learning content based on trending news. This workflow reads learner preferences from Google Sheets (language, level, and topic of interest), uses an AI web search model to fetch relevant news, and formats the result into a structured HTML digest featuring grammar explanations and vocabulary highlights. Emails are sent automatically to each learner in a clean, mobile-friendly format.
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⚙️ What it does
1. ⏰ Daily Trigger at 6 AM 2. 📄 Pulls learner data from Google Sheets (Language, Level, Topic) 3. 🔍 Fetches news using perplexity/llama-3.1-sonar-small-128k-online 4. ✨ Formats it into HTML using deepseek-chat, tailored to the learner's level 5. 🧠 Adds grammar breakdowns and vocabulary highlights 6. 📬 Sends personalized HTML email to each learner
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🧠 AI Models Used
- perplexity/llama-3.1-sonar-small-128k-online – web-connected LLM for up-to-date news - deepseek-chat – formatting and simplifying articles for language learners
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