Generate personalized language learning news digests with LLaMA-3.1 & DeepSeek AI

Name: Generate personalized language learning news digests with LLaMA-3.1 & DeepSeek AI
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Rating: 4.5 (13 reviews)
Author: hippolyte-hu

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ChatGPT Image 3 juil. 2025, 22_24_39.png 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.

⚙️ What it does

⏰ Daily Trigger at 6 AM
📄 Pulls learner data from Google Sheets (Language, Level, Topic)
🔍 Fetches news using perplexity/llama-3.1-sonar-small-128k-online
✨ Formats it into HTML using deepseek-chat, tailored to the learner's level
🧠 Adds grammar breakdowns and vocabulary highlights
📬 Sends personalized HTML email to each learner

🧠 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

📚 Examples

WhatsApp Image 20250703 at 18.00.25_00f56289.jpg

🔗 Technologies used

Google Sheets – Learner database
OpenRouter API – AI access and online reasoning
LangChain AI Agent + Output Parser – Clean HTML structuring
Gmail Node – Email dispatch per user

💡 Use Cases

🧑‍🏫 Classroom-ready language micro-lessons
🌍 Personalized news digests for multilingual learners
✉️ Daily practice delivery via email
📚 Reading + grammar + vocab in one workflow

hippolyte-hu

0 workflows

Nodes

set gmail telegram agent google-gemini

Complexity

intermediate

Published 04 Jul 2025

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