Daily AI News Digest to LinkedIn Posts

RSS feeds → n8n scheduled trigger → code filter → OpenAI summary & copy → Gmail review

Who

Operators or founders who want to auto-curate AI news into LinkedIn content

You get

A daily email with a LinkedIn post ready for your review

You need

n8n · gmail

Steps

1. Configure schedule trigger

   Add or import a Schedule Trigger node in n8n and set it to run every 24 hours. This node serves as the time-based entry point for the entire automation.

2. Add RSS feed sources

   Configure three RSS Feed Read nodes for VentureBeat AI, TechCrunch AI, and OpenAI Blog. Default URLs are provided in the template; replace them with other AI-related sources if desired.

3. Merge and filter articles

   Use a Merge node to combine the three RSS outputs, then pass them through a Code node running JavaScript: filter for articles published within the last 48 hours whose title or description contains AI keywords, deduplicate by link or title, sort by date, and keep up to 10.

   Execution prompt · Source text。JS Code field of the 'Filter Recent AI Articles1' node

   Copy prompt

   // Filter articles from last 48 hours and relevant to AI
   const now = new Date();
   const twoDaysAgo = new Date(now.getTime() - (48 * 60 * 60 * 1000));
   
   // Create a Set to track unique articles (by title or link)
   const uniqueArticles = new Map();
   
   items.forEach(item => {
     const articleDate = new Date(item.json.pubDate || item.json.date);
     const isRecent = articleDate >= twoDaysAgo;
     
     const title = (item.json.title || '').toLowerCase();
     const description = (item.json.description || '').toLowerCase();
     
     const aiKeywords = ['ai', 'artificial intelligence', 'machine learning', 'ml', 'neural', 'gpt', 'llm', 'chatbot', 'automation', 'deep learning', 'agentic ai'];
     const isAIRelated = aiKeywords.some(keyword => 
       title.includes(keyword) || description.includes(keyword)
     );
     
     // Only add if recent, AI-related, and not already added
     if (isRecent && isAIRelated) {
       const uniqueKey = item.json.link || item.json.title;
       if (!uniqueArticles.has(uniqueKey)) {
         uniqueArticles.set(uniqueKey, {
           title: item.json.title,
           description: item.json.description,
           link: item.json.link,
           pubDate: item.json.pubDate || item.json.date,
           source: item.json.source || 'RSS Feed',
           dateObj: articleDate // Keep for sorting
         });
       }
     }
   });
   
   // Convert Map to array, sort by date (newest first) and limit to top 10
   const sortedItems = Array.from(uniqueArticles.values())
     .sort((a, b) => b.dateObj - a.dateObj)
     .slice(0, 10);
   
   // Return formatted items without dateObj
   return sortedItems.map(item => ({
     json: {
       title: item.title,
       description: item.description,
       link: item.link,
       pubDate: item.pubDate,
       source: item.source
     }
   }));

4. Prepare articles and check existence

   Use a Code node to format filtered articles into a single string with title, description, source, date, and link. Then use an If node to check whether articleCount is greater than 0 to determine the downstream path.

   Execution prompt · Source text。JS Code field of the 'Prepare Articles for Summary1' node

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   // Combine all articles into a single string for summarization
   const articles = items.map(item => {
     return `Title: ${item.json.title}\nDescription: ${item.json.description}\nSource: ${item.json.source}\nDate: ${item.json.pubDate}\nLink: ${item.json.link}\n---`;
   }).join('\n\n');
   
   return [{
     json: {
       articles: articles,
       articleCount: items.length,
       processedAt: new Date().toISOString()
     }
   }];

5. Generate AI summary

   Feed the prepared article text into an OpenAI node (default gpt-4.1-mini) using a system prompt that instructs the model to analyze multiple AI news articles, extract the 2-3 most important developments, and write an 80-120 word summary suited for LinkedIn professionals.

   Execution prompt · Source text。messages.values[0].content field of the 'AI News Summarizer1' node

   Copy prompt

   =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.
   
   **Your Analysis Should:**
   - Identify the most significant and impactful AI developments from the provided articles
   - Focus on stories that will matter to business leaders, developers, and AI enthusiasts
   - Highlight breakthrough technologies, major company announcements, funding news, or industry shifts
   - Connect developments to broader AI trends and implications
   - Prioritize recency and relevance over minor updates
   
   **Content Requirements:**
   - Write 3-4 concise, punchy sentences (80-120 words total)
   - Lead with the most newsworthy development
   - Include specific company names, product names, or key figures when relevant
   - Mention concrete details (funding amounts, performance metrics, release dates) if significant
   - End with a forward-looking statement about industry impact
   - Use professional but engaging language suitable for LinkedIn
   
   **Style Guidelines:**
   - Write in active voice with strong, decisive language
   - Avoid technical jargon that would confuse general business audience
   - Use numbers and specific details to add credibility
   - Create a sense of momentum and importance
   - Don't oversell - be factual but compelling
   
   **If Multiple Major Stories Exist:**
   - Mention 2-3 key developments maximum
   - Connect them thematically if possible (e.g., "funding surge," "enterprise adoption," "new capabilities")
   - Prioritize stories with broader business implications
   
   Now analyze these AI news articles and create a summary covering the most important developments:
   
   {{ $json.articles }}
   
   Focus particularly on major funding rounds, significant product launches, and industry-changing developments from the list above.

6. Generate LinkedIn post

   Pass the previous summary into a second OpenAI node (default gpt-4.1-mini) using a system prompt that generates a LinkedIn post with a hook, body, call-to-action, and hashtags, keeping the total length to 250-300 words and optimizing for mobile readability.

   Execution prompt · Source text。messages.values[0].content field of the 'Generate LinkedIn Post1' node

   Copy prompt

   =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.
   
   **Your Mission:**
   Create a compelling LinkedIn post that will stop professionals from scrolling and encourage them to engage through likes, comments, and shares.
   
   **Content Foundation:**
   {{ $json.message.content }}
   
   **Post Requirements:**
   
   **Structure:**
   - Hook: Start with an attention-grabbing opening line or question
   - Body: 2-3 short paragraphs (2-3 sentences each)
   - Call-to-Action: End with an engaging question that invites discussion
   
   **Tone & Style:**
   - Professional yet conversational and approachable
   - Confident but not overly promotional
   - Use "I" or "We" occasionally to add personal touch
   - Mix of industry insights with accessible language
   
   **Content Elements:**
   - Lead with the most impactful development from the summary
   - Include specific numbers, company names, and concrete details
   - Connect AI developments to broader business implications
   - Add 2-3 relevant emojis (🚀 🤖 💡 🧠 ⚡ 🔥 🎯) - use sparingly and strategically
   - Keep total length 250-300 words maximum
   
   **Engagement Optimization:**
   - Use short paragraphs for mobile readability
   - Include 5-7 relevant hashtags at the end: #AI #ArtificialIntelligence #TechNews #Innovation #MachineLearning #StartupFunding #TechTrends
   - End with a thought-provoking question that encourages comments
   - Use line breaks for visual appeal
   
   **Question Examples for Ending:**
   - "What's your take on this development?"
   - "How do you see this impacting your industry?"
   - "Which of these developments excites you most?"
   - "Are we moving too fast or not fast enough?"
   - "What challenges do you foresee with this technology?"
   
   **Visual Format:**
   Use line breaks between paragraphs and before hashtags for better readability.
   
   **Sample Structure:**
   [Hook/Opening statement] 🚀
   
   [Key development with specifics]
   
   [Industry impact/implications]
   
   [Engaging question]
   
   #AI #TechNews #Innovation #MachineLearning #StartupFunding
   
   **Important:**
   - Make it shareable - professionals should want to repost this
   - Focus on business relevance, not just technical details
   - Create urgency around staying informed in AI
   - Avoid buzzwords and hype - be authentic and informative

7. Email for review

   Use a Gmail node to send the generated post to yourself as a plain-text email with the subject 'LinkedIn AI Post Ready for Review'. If no articles matched, the alternate branch sends a 'No AI News Found Today' notification. Set your recipient email address in the node parameters.

Please build this workflow in n8n using the following materials: first confirm you have an OpenAI API key and Gmail OAuth2 credentials, then import the template or create nodes manually. Key checks: RSS source URLs, the time window and keywords in the filter code, model selection in both OpenAI nodes, and the recipient address in the Gmail node. Run a manual execution with sample data to verify filtering, summarization, and post generation before enabling the schedule trigger.