This workflow follows the Chainllm → Gmail recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "workflow",
"nodes": [
{
"parameters": {
"maxItems": 7
},
"id": "0338ae31-83ad-441b-a901-712a56ffe51b",
"name": "Limit to first ",
"type": "n8n-nodes-base.limit",
"position": [
17260,
3860
],
"typeVersion": 1
},
{
"parameters": {
"sendTo": "your.email@example.com",
"subject": "=\ud83d\udcec Daily AI News (VentureBeat) \u2013 {{ $now.format(\"dd MMM yyyy\") }}",
"message": "=\n<!DOCTYPE html>\n<html lang=\"en\">\n<head>\n <meta charset=\"UTF-8\" />\n <title>\ud83e\udde0 Daily AI Flash \u2014 Summary of VentureBeat AI News</title>\n</head>\n<body style=\"font-family: Arial, sans-serif; background-color: #f9f9f9; padding: 30px;\">\n <div style=\"max-width: 700px; margin: auto; background: white; padding: 25px; border-radius: 10px; box-shadow: 0 2px 10px rgba(0,0,0,0.1);\">\n\n <h2 style=\"color: #4A90E2;\">\ud83e\udde0 Daily AI Flash \u2014 Summary of VentureBeat AI News</h2>\n <p style=\"color: #666; font-size: 14px;\">\n Report from <strong>{{ $now.format(\"dd MMM yyyy\") }}</strong>\n </p>\n\n <div style=\"margin-top: 20px; color: #333; line-height: 1.6; font-size: 15px;\">\n {{ $json.data }}\n </div>\n\n <hr style=\"margin-top: 30px; border: none; border-top: 1px solid #eee;\" />\n\n <p style=\"font-size: 13px; color: #999;\">\n This summary was automatically generated from VentureBeat by an AI agent designed by Adel Messaoudi.\n <br />\n \ud83d\udce1 A daily briefing on artificial intelligence delivered straight to your inbox.\n </p>\n\n </div>\n</body>\n</html>\n",
"options": {}
},
"type": "n8n-nodes-base.gmail",
"typeVersion": 2.1,
"position": [
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3860
],
"id": "00642b44-30ea-4fd7-8ea6-0f57c35a922c",
"name": "Gmail1"
},
{
"parameters": {
"promptType": "define",
"text": "=You are an AI assistant specialized in summarizing high-quality AI news for a technical and professional audience.\n\nYou are given a list of article summaries published today on VentureBeat, all focused on artificial intelligence:\n\n{{ $json.fullText }}\n\nWrite a clear, well-structured, and comprehensive summary in fluent English.\n\nOrganize the content into **several thematic sections** (e.g., Open Models, Research, Transparency, Industry Trends, etc.), each with a short paragraph (3\u20136 lines). You can choose the most natural themes based on the articles.\n\nMake sure to:\n- Cover all key developments of the day\n- Group related articles into meaningful sections\n- Write in a neutral, informative tone \u2014 like a daily scientific briefing\n- Avoid bullet points. Use full sentences and short paragraphs\n- Include a **References** section at the end, listing each article title with its link\n\nStay under 700 words.\n"
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.5,
"position": [
18000,
3860
],
"id": "e380f3f4-6a9d-4afa-8e82-537ce47c9ff9",
"name": "Basic LLM Chain1"
},
{
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 18
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
16640,
3860
],
"id": "1fbe6d29-5c38-4aa7-a0ce-54f41447e186",
"name": "Schedule Trigger"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "0fa4ddb2-4cea-4c86-8564-e4b5edb33648",
"name": "fullText",
"value": "=\ud83d\udcc4 Titre : {{ $json.title }}\n\ud83d\udd17 Lien : {{ $json.link || $json.guid || \"https://arxiv.org/abs/\" + ($json.id || \"\").split(\"/\").pop() }}\n\ud83d\udcdc R\u00e9sum\u00e9 original : {{ $json.content }}\n",
"type": "string"
},
{
"id": "062c9e06-96e5-4d79-8d0d-6491ca45e577",
"name": "title",
"value": "={{ $json.title }}",
"type": "string"
},
{
"id": "23abc85b-00f0-4fe6-9791-7d7c0435a1bf",
"name": "link",
"value": "={{ $json.link || $json.guid || \"https://arxiv.org/abs/\" + ($json.id || \"\").split(\"/\").pop() }}",
"type": "string"
},
{
"id": "a78da768-a3d6-4de9-9b51-96b10e870d97",
"name": "date",
"value": "={{ $json.pubDate }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
17480,
3860
],
"id": "c05828fb-eb4c-436e-8b73-32838352dac2",
"name": "Edit Fields"
},
{
"parameters": {
"url": "https://venturebeat.com/category/ai/feed/",
"options": {}
},
"type": "n8n-nodes-base.rssFeedRead",
"typeVersion": 1.1,
"position": [
16980,
3860
],
"id": "6b67fdc4-1ab1-4b3b-bf13-ea9dd9c52dad",
"name": "RSS Read"
},
{
"parameters": {
"modelName": "models/gemini-2.0-flash",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"typeVersion": 1,
"position": [
17880,
4080
],
"id": "221d4217-037e-4f04-953b-3e3f55922e8e",
"name": "Google Gemini Chat Model"
},
{
"parameters": {
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "fullText"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.aggregate",
"typeVersion": 1,
"position": [
17740,
3860
],
"id": "1acb7486-d9c4-4cc4-baf9-1c0749acc744",
"name": "Aggregate"
},
{
"parameters": {
"mode": "markdownToHtml",
"markdown": "={{ $json.text}}",
"options": {}
},
"type": "n8n-nodes-base.markdown",
"typeVersion": 1,
"position": [
18440,
3860
],
"id": "d79dcf0f-5837-4923-b88e-1f0ba8cb280e",
"name": "Markdown"
}
],
"connections": {
"Limit to first ": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Basic LLM Chain1": {
"main": [
[
{
"node": "Markdown",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "RSS Read",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"RSS Read": {
"main": [
[
{
"node": "Limit to first ",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Basic LLM Chain1",
"type": "main",
"index": 0
}
]
]
},
"Markdown": {
"main": [
[
{
"node": "Gmail1",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "70e8fd66-b67b-4c00-882a-e235efd76d71",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "KkEoobt2f4jMQqcO",
"tags": []
}
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About this workflow
workflow. Uses gmail, chainLlm, rssFeedRead, lmChatGoogleGemini. Scheduled trigger; 9 nodes.
Source: https://github.com/AdelMessaoudi-13/AI-Brief-Series/blob/main/n8n-version/venturebeat-ai-brief/workflow.json — original creator credit. Request a take-down →
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