Generate personalized language learning news digests with LLaMA-3.1 & DeepSeek AI
Needs changesNeeds changes. This template uses 2 thing(s) that n8n 3.0 removes: Cron, AI Agent v1 (old agent modes). 2 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 10 nodes and runs on a schedule (legacy Cron node). Along the way it connects Google Sheets, OpenAI Chat Model and Gmail.
How it runs
Trigger: On a schedule (legacy Cron node).
- Google Sheets: uses Google Sheets
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Code: runs custom JavaScript code
- HTTP Request: calls an HTTP API
- Edit Fields (Edit Fields (Set)): sets or maps fields
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Gmail: uses Gmail
Services it uses
Before you upgrade to n8n 3.0
2 things in this workflow are removed in n8n 3.0. Fix them before you upgrade:
- Cron in Daily Trigger: replace with Schedule Trigger.
- AI Agent v1 (old agent modes) in AI Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| Cron Daily Trigger | Schedule Trigger |
| AI Agent v1 (old agent modes) AI Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (10)
- Cron
n8n-nodes-base.cron - Google Sheets
n8n-nodes-base.googleSheets - Code
n8n-nodes-base.code - HTTP Request
n8n-nodes-base.httpRequest - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Gmail
n8n-nodes-base.gmail - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches
From the author
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…