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

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Automatically generate and email level appropriate language learning content based on trending news. This workflow reads learner preferences...

Best for

Social Media automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.cron, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.gmail

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by hippolyte-hu.

Original n8n.io source

1.1 Workflow description

Title: Generate personalized language learning news digests with LLaMA-3.1 & DeepSeek AI
Workflow name: 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 (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

🔗 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

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Daily Trigger

Type / Role: n8n-nodes-base.cron - cron
Config choices: Version 1

Block 2 - Google Sheets

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.5

Block 3 - Code

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 4 - HTTP Request

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 5 - Edit Fields

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 6 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.9

Block 7 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 8 - Gmail

Type / Role: n8n-nodes-base.gmail - gmail
Config choices: Version 2.1

Block 9 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 10 - Loop Over Items

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

3. Summary Table

Workflow	Generate personalized language learning news digests with LLaMA-3.1 & DeepSeek AI
Complexity	intermediate
Nodes	10
Categories	Social Media, Multimodal AI
Author	hippolyte-hu
Published	03 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5660/5660.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Social Media workflows Multimodal AI workflows

Frequently asked questions

What does Generate personalized language learning news digests with LLaMA-3.1 & DeepSeek AI do?

Automatically generate and email level appropriate language learning content based on trending news. This workflow reads learner preferences...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Social Media, Multimodal AI use case.

hippolyte-hu

5 workflows

Nodes

n8n-nodes-base.cron n8n-nodes-base.googlesheets n8n-nodes-base.code n8n-nodes-base.httprequest n8n-nodes-base.set @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.gmail

Complexity

intermediate

Published 03 Jul 2025

Likes 0

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Install path: /data/workflows/5660/5660.json

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

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

⚙️ What it does

🧠 AI Models Used

📚 Examples

🔗 Technologies used

💡 Use Cases

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Daily Trigger

Block 2 - Google Sheets

Block 3 - Code

Block 4 - HTTP Request

Block 5 - Edit Fields

Block 6 - AI Agent

Block 7 - OpenAI Chat Model

Block 8 - Gmail

Block 9 - Structured Output Parser

Block 10 - Loop Over Items

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions