Avkash Kakdiya This workflow corresponds to n8n.io template #5068 — we link there as the canonical source.
This workflow follows the Gmail → OpenAI 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 →
{
"id": "A1BpZBaWcvkOWcwa",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Linkedin Daily Post",
"tags": [
{
"id": "RvSTTevqmRPvoZLN",
"name": "AI Automation",
"createdAt": "2025-06-12T09:29:23.843Z",
"updatedAt": "2025-06-12T09:29:23.843Z"
}
],
"nodes": [
{
"id": "f9cd99e7-e2be-4a7b-8531-f5456baa874b",
"name": "Daily AI News Check1",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
640,
540
],
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 24
}
]
}
},
"typeVersion": 1.1
},
{
"id": "ec5c4fce-1b9a-493c-83cf-03bfbdc53900",
"name": "VentureBeat AI RSS1",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
860,
340
],
"parameters": {
"url": "https://feeds.feedburner.com/venturebeat/SZYF",
"options": {}
},
"typeVersion": 1
},
{
"id": "685ec481-1944-4641-ba1b-4ce614300ab0",
"name": "TechCrunch AI RSS1",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
860,
540
],
"parameters": {
"url": "https://techcrunch.com/category/artificial-intelligence/feed/",
"options": {}
},
"typeVersion": 1
},
{
"id": "16c0389b-a162-43ca-8ca6-3d8177343743",
"name": "OpenAI Blog RSS1",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
860,
740
],
"parameters": {
"url": "https://openai.com/blog/rss.xml",
"options": {}
},
"typeVersion": 1
},
{
"id": "ccceb4bb-8a58-4b99-8aef-4f2cf3413ed4",
"name": "Filter Recent AI Articles1",
"type": "n8n-nodes-base.code",
"position": [
1300,
540
],
"parameters": {
"jsCode": "// Filter articles from last 48 hours and relevant to AI\nconst now = new Date();\nconst twoDaysAgo = new Date(now.getTime() - (48 * 60 * 60 * 1000));\n\n// Create a Set to track unique articles (by title or link)\nconst uniqueArticles = new Map();\n\nitems.forEach(item => {\n const articleDate = new Date(item.json.pubDate || item.json.date);\n const isRecent = articleDate >= twoDaysAgo;\n \n const title = (item.json.title || '').toLowerCase();\n const description = (item.json.description || '').toLowerCase();\n \n const aiKeywords = ['ai', 'artificial intelligence', 'machine learning', 'ml', 'neural', 'gpt', 'llm', 'chatbot', 'automation', 'deep learning', 'agentic ai'];\n const isAIRelated = aiKeywords.some(keyword => \n title.includes(keyword) || description.includes(keyword)\n );\n \n // Only add if recent, AI-related, and not already added\n if (isRecent && isAIRelated) {\n const uniqueKey = item.json.link || item.json.title;\n if (!uniqueArticles.has(uniqueKey)) {\n uniqueArticles.set(uniqueKey, {\n title: item.json.title,\n description: item.json.description,\n link: item.json.link,\n pubDate: item.json.pubDate || item.json.date,\n source: item.json.source || 'RSS Feed',\n dateObj: articleDate // Keep for sorting\n });\n }\n }\n});\n\n// Convert Map to array, sort by date (newest first) and limit to top 10\nconst sortedItems = Array.from(uniqueArticles.values())\n .sort((a, b) => b.dateObj - a.dateObj)\n .slice(0, 10);\n\n// Return formatted items without dateObj\nreturn sortedItems.map(item => ({\n json: {\n title: item.title,\n description: item.description,\n link: item.link,\n pubDate: item.pubDate,\n source: item.source\n }\n}));"
},
"typeVersion": 2
},
{
"id": "ec596d9a-e00b-4692-8b4e-2516587fdd06",
"name": "Merge All Sources1",
"type": "n8n-nodes-base.merge",
"position": [
1080,
540
],
"parameters": {
"mode": "combine",
"options": {},
"combinationMode": "multiplex"
},
"typeVersion": 2.1
},
{
"id": "80882e61-b50d-49cc-bfc0-a9f4a5c74d0f",
"name": "AI News Summarizer1",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1960,
640
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "GPT-4.1-MINI"
},
"options": {},
"messages": {
"values": [
{
"content": "=You are an expert AI industry analyst with deep knowledge of artificial intelligence trends, breakthroughs, and market developments. Your task is to analyze multiple AI news articles and create a compelling, insightful summary for LinkedIn professionals.\n\n**Your Analysis Should:**\n- Identify the most significant and impactful AI developments from the provided articles\n- Focus on stories that will matter to business leaders, developers, and AI enthusiasts\n- Highlight breakthrough technologies, major company announcements, funding news, or industry shifts\n- Connect developments to broader AI trends and implications\n- Prioritize recency and relevance over minor updates\n\n**Content Requirements:**\n- Write 3-4 concise, punchy sentences (80-120 words total)\n- Lead with the most newsworthy development\n- Include specific company names, product names, or key figures when relevant\n- Mention concrete details (funding amounts, performance metrics, release dates) if significant\n- End with a forward-looking statement about industry impact\n- Use professional but engaging language suitable for LinkedIn\n\n**Style Guidelines:**\n- Write in active voice with strong, decisive language\n- Avoid technical jargon that would confuse general business audience\n- Use numbers and specific details to add credibility\n- Create a sense of momentum and importance\n- Don't oversell - be factual but compelling\n\n**If Multiple Major Stories Exist:**\n- Mention 2-3 key developments maximum\n- Connect them thematically if possible (e.g., \"funding surge,\" \"enterprise adoption,\" \"new capabilities\")\n- Prioritize stories with broader business implications\n\nNow analyze these AI news articles and create a summary covering the most important developments:\n\n{{ $json.articles }}\n\nFocus particularly on major funding rounds, significant product launches, and industry-changing developments from the list above."
}
]
}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.3
},
{
"id": "2bc85161-3605-4314-8b6a-d2c69446f7f9",
"name": "Prepare Articles for Summary1",
"type": "n8n-nodes-base.code",
"position": [
1520,
540
],
"parameters": {
"jsCode": "// Combine all articles into a single string for summarization\nconst articles = items.map(item => {\n return `Title: ${item.json.title}\\nDescription: ${item.json.description}\\nSource: ${item.json.source}\\nDate: ${item.json.pubDate}\\nLink: ${item.json.link}\\n---`;\n}).join('\\n\\n');\n\nreturn [{\n json: {\n articles: articles,\n articleCount: items.length,\n processedAt: new Date().toISOString()\n }\n}];"
},
"typeVersion": 2
},
{
"id": "cdaedb20-4077-4a99-90fd-1dcb9b571f2d",
"name": "Generate LinkedIn Post1",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
2336,
640
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "GPT-4.1-MINI"
},
"options": {},
"messages": {
"values": [
{
"content": "=You are a professional LinkedIn content creator specializing in AI and technology. Your expertise lies in transforming complex AI news into engaging, shareable posts that drive meaningful professional discussions.\n\n**Your Mission:**\nCreate a compelling LinkedIn post that will stop professionals from scrolling and encourage them to engage through likes, comments, and shares.\n\n**Content Foundation:**\n{{ $json.message.content }}\n\n**Post Requirements:**\n\n**Structure:**\n- Hook: Start with an attention-grabbing opening line or question\n- Body: 2-3 short paragraphs (2-3 sentences each)\n- Call-to-Action: End with an engaging question that invites discussion\n\n**Tone & Style:**\n- Professional yet conversational and approachable\n- Confident but not overly promotional\n- Use \"I\" or \"We\" occasionally to add personal touch\n- Mix of industry insights with accessible language\n\n**Content Elements:**\n- Lead with the most impactful development from the summary\n- Include specific numbers, company names, and concrete details\n- Connect AI developments to broader business implications\n- Add 2-3 relevant emojis (\ud83d\ude80 \ud83e\udd16 \ud83d\udca1 \ud83e\udde0 \u26a1 \ud83d\udd25 \ud83c\udfaf) - use sparingly and strategically\n- Keep total length 250-300 words maximum\n\n**Engagement Optimization:**\n- Use short paragraphs for mobile readability\n- Include 5-7 relevant hashtags at the end: #AI #ArtificialIntelligence #TechNews #Innovation #MachineLearning #StartupFunding #TechTrends\n- End with a thought-provoking question that encourages comments\n- Use line breaks for visual appeal\n\n**Question Examples for Ending:**\n- \"What's your take on this development?\"\n- \"How do you see this impacting your industry?\"\n- \"Which of these developments excites you most?\"\n- \"Are we moving too fast or not fast enough?\"\n- \"What challenges do you foresee with this technology?\"\n\n**Visual Format:**\nUse line breaks between paragraphs and before hashtags for better readability.\n\n**Sample Structure:**\n[Hook/Opening statement] \ud83d\ude80\n\n[Key development with specifics]\n\n[Industry impact/implications]\n\n[Engaging question]\n\n#AI #TechNews #Innovation #MachineLearning #StartupFunding\n\n**Important:**\n- Make it shareable - professionals should want to repost this\n- Focus on business relevance, not just technical details\n- Create urgency around staying informed in AI\n- Avoid buzzwords and hype - be authentic and informative"
}
]
}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.3
},
{
"id": "0fc05ed0-2436-4ca8-a7e2-c64a3cd09430",
"name": "Send for Review1",
"type": "n8n-nodes-base.gmail",
"position": [
2712,
640
],
"parameters": {
"message": "={{ $json.message.content }}",
"options": {
"appendAttribution": false
},
"subject": "LinkedIn AI Post Ready for Review",
"emailType": "text"
},
"credentials": {
"gmailOAuth2": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "ed56b632-c173-4e53-9a71-5c1acc974746",
"name": "Check Articles Exist1",
"type": "n8n-nodes-base.if",
"position": [
1740,
540
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "has-articles-condition",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $json.articleCount }}",
"rightValue": 0
}
]
}
},
"typeVersion": 2
},
{
"id": "e407c536-a7c9-472d-b996-e621c2fd3ca6",
"name": "No Articles Notification1",
"type": "n8n-nodes-base.gmail",
"position": [
2038,
440
],
"parameters": {
"message": "No AI News Found Today",
"options": {},
"subject": "No AI News Found Today",
"emailType": "text"
},
"credentials": {
"gmailOAuth2": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "2627909f-3c21-48a4-9591-b97609d9f7a5",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
600,
140
],
"parameters": {
"color": 4,
"width": 620,
"height": 820,
"content": "## 1) Research for AI articles\n"
},
"typeVersion": 1
},
{
"id": "b0cdaa66-7053-42e8-a1d1-614381a52d8a",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1240,
140
],
"parameters": {
"color": 5,
"width": 1000,
"height": 820,
"content": "## 2) Summarise AI related articles"
},
"typeVersion": 1
},
{
"id": "88a3211c-4536-44f4-8ba4-c800da1031db",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
2260,
140
],
"parameters": {
"color": 6,
"width": 760,
"height": 820,
"content": "## 3) Generate Linkedin Post and send to email"
},
"typeVersion": 1
}
],
"active": true,
"settings": {
"executionOrder": "v1"
},
"versionId": "a04da0bf-2fa1-41be-9216-bae771d23a14",
"connections": {
"OpenAI Blog RSS1": {
"main": [
[
{
"node": "Merge All Sources1",
"type": "main",
"index": 1
}
]
]
},
"Merge All Sources1": {
"main": [
[
{
"node": "Filter Recent AI Articles1",
"type": "main",
"index": 0
}
]
]
},
"TechCrunch AI RSS1": {
"main": [
[
{
"node": "Merge All Sources1",
"type": "main",
"index": 1
}
]
]
},
"AI News Summarizer1": {
"main": [
[
{
"node": "Generate LinkedIn Post1",
"type": "main",
"index": 0
}
]
]
},
"VentureBeat AI RSS1": {
"main": [
[
{
"node": "Merge All Sources1",
"type": "main",
"index": 0
}
]
]
},
"Daily AI News Check1": {
"main": [
[
{
"node": "VentureBeat AI RSS1",
"type": "main",
"index": 0
},
{
"node": "TechCrunch AI RSS1",
"type": "main",
"index": 0
},
{
"node": "OpenAI Blog RSS1",
"type": "main",
"index": 0
}
]
]
},
"Check Articles Exist1": {
"main": [
[
{
"node": "AI News Summarizer1",
"type": "main",
"index": 0
}
],
[
{
"node": "No Articles Notification1",
"type": "main",
"index": 0
}
]
]
},
"Generate LinkedIn Post1": {
"main": [
[
{
"node": "Send for Review1",
"type": "main",
"index": 0
}
]
]
},
"Filter Recent AI Articles1": {
"main": [
[
{
"node": "Prepare Articles for Summary1",
"type": "main",
"index": 0
}
]
]
},
"Prepare Articles for Summary1": {
"main": [
[
{
"node": "Check Articles Exist1",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
gmailOAuth2openAiApi
Pro
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About this workflow
This automation fetches daily AI-related articles from trusted RSS feeds, summarizes them using OpenAI (GPT), and generates a ready-to-post LinkedIn update in your writing style. It then emails the post to you every morning for review and publishing. Triggers every morning via…
Source: https://n8n.io/workflows/5068/ — original creator credit. Request a take-down →
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