{ "meta": { "templateCredsSetupCompleted": true }, "nodes": [ { "id": "ded81242-91f9-48b2-92e7-93b5c427c22c", "name": "5", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1184, 3104 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-5", "cachedResultName": "gpt-5" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "db3f31ca-0104-4484-a5a3-718a05e6db9a", "name": "If", "type": "n8n-nodes-base.if", "position": [ -128, 3728 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "c2a21f68-1dd7-4614-be11-45c3f2129a63", "operator": { "type": "boolean", "operation": "equals" }, "leftValue": "={{ $json['Article Link'].isUrl() }}", "rightValue": true } ] }, "looseTypeValidation": true }, "typeVersion": 2.2 }, { "id": "b79d6081-d689-4a93-b927-64060828aac0", "name": "Extract Details", "type": "n8n-nodes-base.code", "position": [ 336, 3696 ], "parameters": { "jsCode": "const { Readability } = require(\"@mozilla/readability\");\nconst { JSDOM } = require(\"jsdom\");\n\ntry {\n const inputData = items[0].json;\n const html = inputData.data;\n const url = inputData.url\n\n if (!html || html.trim().length === 0) {\n throw new Error(\"No HTML content found\");\n }\n\n const dom = new JSDOM(html, { \n url,\n contentType: \"text/html\"\n });\n\n const document = dom.window.document;\n const reader = new Readability(dom.window.document);\n const article = reader.parse();\n\n if (!article) {\n return [{\n json: {\n error: \"Readability could not extract article content\",\n reason: \"The page may not contain article-like content or structure\",\n url,\n htmlLength: html.length\n }\n }];\n }\n\n let imageUrl = null;\n \n const ogImage = document.querySelector('meta[property=\"og:image\"]');\n if (ogImage) imageUrl = ogImage.getAttribute('content');\n \n if (!imageUrl) {\n const twitterImage = document.querySelector('meta[name=\"twitter:image\"]');\n if (twitterImage) imageUrl = twitterImage.getAttribute('content');\n }\n \n if (!imageUrl && article.content) {\n const contentDom = new JSDOM(article.content);\n const firstImg = contentDom.window.document.querySelector('img');\n if (firstImg) imageUrl = firstImg.getAttribute('src');\n }\n \n if (imageUrl && !imageUrl.startsWith('http')) {\n try {\n imageUrl = new URL(imageUrl, url).href;\n } catch (e) {\n // Invalid URL, keep as is\n }\n }\n \n return [{\n json: {\n title: article.title || \"No title found\",\n author: article.byline || \"Unknown\",\n contentText: article.textContent || \"\",\n wordCount: article.length || 0,\n siteName: article.siteName || \"Unknown site\",\n excerpt: article.excerpt || \"\",\n imageUrl: imageUrl || null,\n }\n }];\n\n} catch (error) {\n return [{\n json: {\n error: error.message,\n stack: error.stack,\n inputKeys: Object.keys(items[0].json)\n }\n }];\n}" }, "typeVersion": 2 }, { "id": "80bb41d8-03b8-46d5-a113-bccd7bcb4953", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 80, 3488 ], "parameters": { "color": 4, "width": 464, "height": 576, "content": "## \ud83d\udccc Extract Article Content\n- Title\n- Article Content\n- Author\n- Excerpt\n- Website Name\n- Article Image" }, "typeVersion": 1 }, { "id": "d84233ad-ebd5-4335-9569-53047fcfd74e", "name": "LinkedIn Post Vector Store", "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase", "position": [ 752, 3008 ], "parameters": { "mode": "retrieve-as-tool", "options": {}, "tableName": { "__rl": true, "mode": "list", "value": "linkedin_post", "cachedResultName": "linkedin_post" }, "toolDescription": "Supabase" }, "credentials": { "supabaseApi": { "name": "" } }, "typeVersion": 1.3 }, { "id": "d853347a-78d9-4b55-8ee3-a3c415921805", "name": "Embedding", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ 752, 3152 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "970b2a6e-d9d1-4be3-846f-879511ecadeb", "name": "5 mini", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 832, 3424 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-5-mini", "cachedResultName": "gpt-5-mini" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "3ef397ee-868a-414d-ac0c-6785644b86f0", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 832, 3280 ], "parameters": { "autoFix": true, "jsonSchemaExample": "{\n\t\"Post Content\": \"Post Content\"\n}" }, "typeVersion": 1.3 }, { "id": "754be77e-3289-469e-b1d0-2931ac62a980", "name": "4.1", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1088, 3104 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1", "cachedResultName": "gpt-4.1" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "e0551a27-fe1c-4e5e-a12d-ab92a91d67c4", "name": "On Article Submission", "type": "n8n-nodes-base.formTrigger", "position": [ -304, 3728 ], "parameters": { "options": { "path": "article-post", "ignoreBots": true, "buttonLabel": "Submit", "appendAttribution": false }, "formTitle": "Article \u267e\ufe0f Post", "formFields": { "values": [ { "fieldType": "textarea", "fieldLabel": "Article Link", "requiredField": true } ] }, "responseMode": "lastNode", "authentication": "basicAuth" }, "credentials": { "httpBasicAuth": { "name": "" } }, "typeVersion": 2.3 }, { "id": "5151194a-dc73-4de1-98f7-f4b5d668582a", "name": "Scrape Article", "type": "n8n-nodes-base.httpRequest", "onError": "continueErrorOutput", "position": [ 128, 3712 ], "parameters": { "url": "={{ $json['Article Link'] }}", "options": {} }, "retryOnFail": true, "typeVersion": 4.3 }, { "id": "11299a31-40c0-48ab-9ebd-d272475439f0", "name": "\u26a0\ufe0fUnable to Process Article", "type": "n8n-nodes-base.form", "position": [ 336, 3872 ], "parameters": { "options": {}, "operation": "completion", "completionTitle": "\u26a0\ufe0fUnable to Process Article", "completionMessage": "Please enter different Article" }, "typeVersion": 2.3 }, { "id": "e734aa10-21f6-4359-8649-08698b70b1ac", "name": "Sticky Note10", "type": "n8n-nodes-base.stickyNote", "position": [ 656, 2656 ], "parameters": { "color": 5, "width": 2800, "height": 912, "content": "## \ud83d\udccc LinkedIn\n" }, "typeVersion": 1 }, { "id": "b600ba23-5504-4f36-952d-71b88a026613", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 656, 3600 ], "parameters": { "color": 7, "width": 1472, "height": 640, "content": "## \ud83d\udccc X (Twitter)\n" }, "typeVersion": 1 }, { "id": "e4b3e783-38c8-47b5-b684-b72d2f427935", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 656, 4272 ], "parameters": { "color": 2, "width": 1120, "height": 304, "content": "## \ud83d\udccc Reddit" }, "typeVersion": 1 }, { "id": "dfb9de11-ecc1-4a1c-bf30-81b21a896d37", "name": "Get Flair", "type": "n8n-nodes-base.httpRequest", "position": [ 912, 4368 ], "parameters": { "url": "=https://oauth.reddit.com/r/{{ $json.Subreddit.split(\"/\")[1] }}/api/link_flair_v2", "options": {}, "authentication": "genericCredentialType", "genericAuthType": "oAuth2Api" }, "credentials": { "oAuth2Api": { "name": "" }, "redditOAuth2Api": { "name": "" } }, "typeVersion": 4.3 }, { "id": "d6d88d8d-3693-45ff-94f2-797744fc45dc", "name": "Reddit Post", "type": "n8n-nodes-base.httpRequest", "position": [ 1520, 4368 ], "parameters": { "url": "https://oauth.reddit.com/r/n8n/api/submit", "method": "POST", "options": {}, "sendQuery": true, "authentication": "genericCredentialType", "genericAuthType": "oAuth2Api", "queryParameters": { "parameters": [ { "name": "sr" }, { "name": "title", "value": "={{ $('Extract Details').item.json.title }}" }, { "name": "kind", "value": "link" }, { "name": "flair_id", "value": "c167b438-1bc8-11f0-8814-1e37289161d8" }, { "name": "url", "value": "={{ $('On Article Submission').item.json['Article Link'] }}" } ] } }, "credentials": { "oAuth2Api": { "name": "" }, "redditOAuth2Api": { "name": "" } }, "typeVersion": 4.3 }, { "id": "de5d4e02-e6c5-4009-a9de-c3423e2a9b6a", "name": "LinkedIn Post Strategist", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 720, 2784 ], "parameters": { "text": "=# Article Content\n\n- Title: {{ $json.title }}\n- Author: {{ $json.author }}\n- Content Text: {{ $json.contentText }}\n- Site Name: {{ $json.siteName }}\n- Excerpt: {{ $json.excerpt }}", "options": { "systemMessage": "=# LinkedIn Viral Content Analyzer - System Prompt\n\nYou are an expert LinkedIn content strategist and analyst with access to a Supabase vector database containing thousands of viral LinkedIn posts. Your primary role is to help users create engaging, high-performing LinkedIn content by analyzing patterns, formats, and hooks from proven viral posts.\n\n## Your Capabilities\n\n1. **Pattern Analysis**: Search and analyze viral posts to identify successful patterns in:\n - Content structure and flow\n - Storytelling techniques\n - Engagement triggers\n - Tone and voice variations\n - Post length and formatting\n\n2. **Hook Identification**: Extract and categorize powerful opening lines that:\n - Grab attention in the first 1-2 lines\n - Create curiosity or emotional resonance\n - Compel readers to click \"see more\"\n - Match specific industries or audiences\n\n3. **Format Recognition**: Identify effective formatting styles including:\n - Line breaks and spacing patterns\n - Emoji usage and placement\n - Bullet points and lists\n - Call-to-action placement\n - Hashtag strategies\n\n4. **Content Strategy**: Provide actionable recommendations based on:\n - Similar successful posts in the user's niche\n - Trending topics and formats\n - Audience engagement patterns\n - Optimal posting frameworks\n\n## How to Use the Vector Database\n\nWhen a user asks for help, follow this process:\n\n1. **Query the Database**: Use semantic search to find relevant viral posts based on:\n - Topic/theme keywords\n - Industry or niche\n - Content type (story, tip, announcement, etc.)\n - Engagement metrics (minimum likes/comments)\n\n2. **Analyze Results**: Examine the retrieved posts for:\n - Common structural elements\n - Recurring hook patterns\n - Formatting similarities\n - Engagement drivers\n\n3. **Synthesize Insights**: Create clear, actionable recommendations:\n - Show 2-3 specific examples from the database\n - Explain WHY these posts performed well\n - Extract reusable templates and formulas\n - Adapt patterns to the user's specific context\n\n## Response Framework\n\nFor each user request:\n\n### 1. Understand the Context\n- What type of content are they creating?\n- Who is their target audience?\n- What's their goal (engagement, lead gen, authority building)?\n\n### 2. Search the Database\n- Query with relevant semantic search terms\n- Retrieve 5-10 most relevant viral posts\n\n### 3. Present Analysis\n```\n**Pattern Found**: [Name the pattern]\n**Why It Works**: [Psychology/mechanism]\n**Example from Database**: [Show snippet]\n**How to Apply**: [Specific steps]\n```\n\n## Writing Style Guidelines\n\nYour responses should sound like they're coming from a thoughtful, articulate human, not overly robotic, overly formal, or exaggeratedly casual. Use short, clear sentences that flow smoothly. Keep language grounded and confident.\n\n**Style Rules:**\n- Avoid filler phrases like \"in today's world\" or \"needless to say\"\n- Never use em dashes (\u2014). Use commas, semicolons, or break sentences when needed\n- Maintain a balance between professionalism and relatability, like how a smart professional would write a LinkedIn post, personal article, or thoughtful email\n- Focus on insight and clarity, not just word count\n- Write with confidence but remain approachable\n- **For bold sections, use Sans Serif Bold Unicode characters** (\ud835\uddf2\ud835\ude05\ud835\uddee\ud835\uddfa\ud835\uddfd\ud835\uddf9\ud835\uddf2: \ud835\udde7\ud835\uddf5\ud835\uddf6\ud835\ude00 \ud835\uddf6\ud835\ude00 \ud835\uddef\ud835\uddfc\ud835\uddf9\ud835\uddf1 \ud835\ude01\ud835\uddf2\ud835\ude05\ud835\ude01)\n\n## Tone and Style\n\n- Focus on empowering the user's unique voice" }, "promptType": "define", "needsFallback": true, "hasOutputParser": true }, "typeVersion": 3 }, { "id": "34c182d7-a2c9-4427-8903-4b6f5055deda", "name": "LinkedIn Post Generator", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1056, 2784 ], "parameters": { "text": "=Content Text:\n\n{{ $('Extract Details').item.json.contentText }}\n\nArticle URL: {{ $('On Article Submission').item.json['Article Link'] }}\n", "options": { "systemMessage": "=# Goal\nGenerate likedin post using given data\n\n# Rule\n- Must add Article URL in Linkedin Post\n\n{{ $json.output['Post Content'] }}" }, "promptType": "define", "needsFallback": true }, "typeVersion": 3 }, { "id": "f56e8776-0adb-4a9b-b3d2-1deab40ba39a", "name": "LinkedIn Post Formatter", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1344, 2784 ], "parameters": { "text": "={{ $json.output }}", "options": { "systemMessage": "=You are a helpful LinkedIn Post Formatter.\n\n## Rule\n- Delete content other than actual post (Don't remove Article URL)\n- For important words, use Sans Serif Bold Unicode characters** (\ud835\uddf2\ud835\ude05\ud835\uddee\ud835\uddfa\ud835\uddfd\ud835\uddf9\ud835\uddf2: \ud835\udde7\ud835\uddf5\ud835\uddf6\ud835\ude00 \ud835\uddf6\ud835\ude00 \ud835\uddef\ud835\uddfc\ud835\uddf9\ud835\uddf1 \ud835\ude01\ud835\uddf2\ud835\ude05\ud835\ude01) \n- Never use em dashes (\u2014). Use commas, or break sentences when needed\n- Never include markdown" }, "promptType": "define", "needsFallback": true }, "typeVersion": 3 }, { "id": "b46ae708-d724-4f6c-9119-cfdd95396173", "name": "Post Review Form", "type": "n8n-nodes-base.form", "position": [ 1696, 2784 ], "parameters": { "options": { "formTitle": "Review LinkedIn Post" }, "formFields": { "values": [ { "html": "
\n
\n {{ $json.output.replaceAll(\"\\n\",\"
\") }}

\n
\n
\n", "fieldType": "html" }, { "fieldType": "radio", "fieldLabel": "Want to re-generate post content?", "fieldOptions": { "values": [ { "option": "Yes" }, { "option": "No" } ] }, "requiredField": true }, { "fieldType": "textarea", "fieldLabel": "Describe Post Changes...", "placeholder": "This applies only if you select \u201cTrue\u201d in the field above." } ] } }, "typeVersion": 2.3 }, { "id": "aeea67fb-d72f-4250-b5a8-0b383e722a28", "name": "Re-generate LinkedIn Post", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1632, 2992 ], "parameters": { "text": "=You are a LinkedIn post regeneration expert. The user wants to improve an existing LinkedIn post based on their specific feedback.\n\n## Input Data\n\n**Original Post**: {{ $('LinkedIn Post Formatter').item.json.output }}\n**User Feedback**: {{ $json['Describe Post Changes...'] }}\n\n## Your Task\n\nRewrite the LinkedIn post incorporating the user's requested changes while maintaining viral patterns and engagement principles.\n\n# Rule\n- Delete content other than actual post\n- For important words, use Sans Serif Bold Unicode characters** (\ud835\uddf2\ud835\ude05\ud835\uddee\ud835\uddfa\ud835\uddfd\ud835\uddf9\ud835\uddf2: \ud835\udde7\ud835\uddf5\ud835\uddf6\ud835\ude00 \ud835\uddf6\ud835\ude00 \ud835\uddef\ud835\uddfc\ud835\uddf9\ud835\uddf1 \ud835\ude01\ud835\uddf2\ud835\ude05\ud835\ude01) \n- Never use em dashes (\u2014). Use commas, or break sentences when needed\n- Never include markdown", "options": {}, "promptType": "define", "needsFallback": true }, "typeVersion": 3 }, { "id": "ccbf5c4b-a05b-4674-810b-b271270d3fcc", "name": "Post 2 Review Form", "type": "n8n-nodes-base.form", "position": [ 1936, 2992 ], "parameters": { "options": { "formTitle": "Review re-generated LinkedIn Post" }, "formFields": { "values": [ { "html": "
\n
\n {{ $json.output.replaceAll(\"\\n\",\"
\") }}

\n
\n
\n", "fieldType": "html" }, { "fieldType": "radio", "fieldLabel": "Want to re-generate post content again?", "fieldOptions": { "values": [ { "option": "Yes" }, { "option": "No" } ] }, "requiredField": true } ] } }, "typeVersion": 2.3 }, { "id": "49c47639-90be-41c4-a002-f45679f12752", "name": "Post 2 Review Conditions", "type": "n8n-nodes-base.if", "position": [ 2112, 2992 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "5b5a6fa9-bd48-4545-bfc5-f2fd50976aaf", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json['Want to re-generate post content again?'] }}", "rightValue": "No" } ] }, "looseTypeValidation": true }, "typeVersion": 2.2 }, { "id": "3e7005a1-468a-4965-a450-1dc9931a8a55", "name": "Post Review Condition", "type": "n8n-nodes-base.if", "position": [ 1872, 2784 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "5b5a6fa9-bd48-4545-bfc5-f2fd50976aaf", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $json['Want to re-generate post content?'] }}", "rightValue": "Yes" } ] }, "looseTypeValidation": true }, "typeVersion": 2.2 }, { "id": "a03c4a5f-0f8c-45df-ac52-9dae7ade2676", "name": "The End", "type": "n8n-nodes-base.form", "position": [ 2320, 3008 ], "parameters": { "options": {}, "operation": "completion", "completionTitle": "\ud83d\udc1e Please submit article Again", "completionMessage": "I can't able to re-generate post again..." }, "typeVersion": 2.3 }, { "id": "a60faa9a-3b58-4981-b79e-5f8fd7502f9c", "name": "Download Image for Form", "type": "n8n-nodes-base.httpRequest", "position": [ 2432, 2800 ], "parameters": { "url": "={{ $('Extract Details').item.json.imageUrl }}", "options": {} }, "typeVersion": 4.3 }, { "id": "b5fb1b81-c67c-49e2-90f4-de376d49c286", "name": "Image Preview Form", "type": "n8n-nodes-base.form", "position": [ 2640, 2800 ], "parameters": { "options": { "formTitle": "Review Generated Image" }, "formFields": { "values": [ { "html": "\n", "fieldType": "html" }, { "fieldType": "radio", "fieldLabel": "Want to continue with above Image?", "fieldOptions": { "values": [ { "option": "Yes" }, { "option": "Continue without Image" } ] }, "requiredField": true } ] } }, "typeVersion": 2.3 }, { "id": "c504dbea-26e4-4a52-88f8-bbcac0c16f48", "name": "Image Preview Conditions", "type": "n8n-nodes-base.if", "position": [ 2832, 2800 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "cdef4871-2e8c-45e6-a4c0-c4d0c947dedd", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json['Want to continue with above Image?'] }}", "rightValue": "Yes" } ] }, "looseTypeValidation": true }, "typeVersion": 2.2 }, { "id": "43f3c3e6-41df-46ef-a8da-aaa01ad608c9", "name": "Download Image for LinkedIn Post", "type": "n8n-nodes-base.httpRequest", "position": [ 3056, 2704 ], "parameters": { "url": "={{ $('Extract Details').item.json.imageUrl }}", "options": {} }, "typeVersion": 4.3 }, { "id": "3b7b6892-0f7c-4e1f-a187-15664cefd46e", "name": "Text + Image", "type": "n8n-nodes-base.linkedIn", "position": [ 3232, 2704 ], "parameters": { "text": "={{ $('LinkedIn Post Formatter').item.json.output ?? $('Re-generate LinkedIn Post').item.json.output }}", "person": "=A_SsE0JFbA", "additionalFields": {}, "shareMediaCategory": "IMAGE" }, "credentials": { "linkedInOAuth2Api": { "name": "" } }, "typeVersion": 1 }, { "id": "3c9466a7-945a-4214-8528-779e7de5b911", "name": "Text + Link", "type": "n8n-nodes-base.linkedIn", "position": [ 3056, 2896 ], "parameters": { "text": "={{ $('LinkedIn Post Formatter').item.json.output ?? $('Re-generate LinkedIn Post').item.json.output }}", "person": "=A_SsE0JFbA", "additionalFields": { "title": "={{ $('Extract Details').item.json.title }}", "originalUrl": "={{ $('On Article Submission').item.json['Article Link'] }}" }, "shareMediaCategory": "ARTICLE" }, "credentials": { "linkedInOAuth2Api": { "name": "" } }, "typeVersion": 1 }, { "id": "ef0bb686-ae3b-4b76-ada6-7f3f7b56c8e9", "name": "Twitter Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 720, 3696 ], "parameters": { "text": "=# Article Content\n\n- Title: {{ $json.title }}\n- Author: {{ $json.author }}\n- Content Text: {{ $json.contentText }}\n- Site Name: {{ $json.siteName }}\n- Excerpt: {{ $json.excerpt }}\n- Article URL: {{ $('On Article Submission').item.json['Article Link'] }}", "options": { "systemMessage": "You are a helpful twitter tweet generator based on provided content\n\n# Rule\n- Tweet character length must be under 280 including spaces as well\n- Must add Article Link in Tweet" }, "promptType": "define", "needsFallback": true, "hasOutputParser": true }, "typeVersion": 3 }, { "id": "52126bb0-1ce3-4421-927e-86959a3fe25b", "name": "Tweet Review Form", "type": "n8n-nodes-base.form", "position": [ 1040, 3696 ], "parameters": { "options": { "formTitle": "Review LinkedIn Post" }, "formFields": { "values": [ { "html": "
\n
\n {{ $json.output['Post Content'].replaceAll(\"\\n\",\"
\") }}

\n
\n
\n", "fieldType": "html" }, { "fieldType": "radio", "fieldLabel": "Want to re-generate Tweet?", "fieldOptions": { "values": [ { "option": "Yes" }, { "option": "No" } ] }, "requiredField": true }, { "fieldType": "textarea", "fieldLabel": "Describe Post Changes...", "placeholder": "This applies only if you select \u201cTrue\u201d in the field above." } ] } }, "typeVersion": 2.3 }, { "id": "cc42ff9d-586d-400c-bd30-f473b288c022", "name": "Tweeet Review Conditions", "type": "n8n-nodes-base.if", "position": [ 1216, 3696 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "5b5a6fa9-bd48-4545-bfc5-f2fd50976aaf", "operator": { "type": "string", "operation": "notEquals" }, "leftValue": "={{ $json['Want to re-generate Tweet?'] }}", "rightValue": "Yes" } ] }, "looseTypeValidation": true }, "typeVersion": 2.2 }, { "id": "dbe7b953-ec8c-4562-8b57-d884630f0a0a", "name": "Structured Output Parser X", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 720, 3936 ], "parameters": { "autoFix": true, "jsonSchemaExample": "{\n\t\"Post Content\": \"Post Content\"\n}" }, "typeVersion": 1.3 }, { "id": "616c0aa3-5d0d-4877-a4a3-29d63fb6e8e5", "name": "5 minii", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 720, 4096 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-5-mini", "cachedResultName": "gpt-5-mini" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "ee40205d-9c47-45a9-8149-4ceaf21281f2", "name": "4.i", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 864, 4096 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1", "cachedResultName": "gpt-4.1" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "5b352cfe-2e5e-40f4-9fdc-f1e741b2aa1f", "name": "Re-generate Tweet Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1200, 3936 ], "parameters": { "text": "=You are a Twitter post regeneration expert. The user wants to improve an existing Tweet based on their specific feedback.\n\n## Input Data\n\n**Original Post**: {{ $('Twitter Agent').item.json.output['Post Content'] }}\n**User Feedback**: {{ $json['Describe Post Changes...'] }}\n\n## Your Task\n\nRewrite the Twitter post incorporating the user's requested changes while maintaining viral patterns and engagement principles.\n\n# Rule\n- Delete content other than actual post \n- Never use em dashes (\u2014). Use commas, or break sentences when needed\n- Never include markdown", "options": {}, "promptType": "define", "needsFallback": true }, "typeVersion": 3 }, { "id": "4a4a65c9-2e88-4567-9bec-d36abd4b3ec5", "name": "5.", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 976, 4096 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-5", "cachedResultName": "gpt-5" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "b8982d55-84dc-4f15-8cda-411918fb3c58", "name": "Tweet 2 Review Form", "type": "n8n-nodes-base.form", "position": [ 1504, 3936 ], "parameters": { "options": { "formTitle": "Review re-generated LinkedIn Post" }, "formFields": { "values": [ { "html": "
\n
\n {{ $json.output.replaceAll(\"\\n\",\"
\") }}

\n
\n
\n", "fieldType": "html" }, { "fieldType": "radio", "fieldLabel": "Want to re-generate Tweet again?", "fieldOptions": { "values": [ { "option": "Yes" }, { "option": "No" } ] }, "requiredField": true } ] } }, "typeVersion": 2.3 }, { "id": "6dc4e817-45af-4aab-86e5-1c1ded0a93a2", "name": "Tweet 2 Review Conditions", "type": "n8n-nodes-base.if", "position": [ 1696, 3936 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "5b5a6fa9-bd48-4545-bfc5-f2fd50976aaf", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json['Want to re-generate Tweet again??'] }}", "rightValue": "No" } ] }, "looseTypeValidation": true }, "typeVersion": 2.2 }, { "id": "e310f1d7-e244-49d9-b406-9dce359ab41d", "name": "Tweet", "type": "n8n-nodes-base.twitter", "position": [ 1408, 3680 ], "parameters": { "text": "={{ $('Twitter Agent').item.json.output['Post Content'] }}", "additionalFields": { "attachments": "={{ $json.data.id }}" } }, "credentials": { "twitterOAuth2Api": { "name": "" } }, "typeVersion": 2 }, { "id": "6e6e8af2-f8cb-4e98-b87e-cd08353530ff", "name": "Reddit Form", "type": "n8n-nodes-base.form", "position": [ 752, 4368 ], "parameters": { "options": {}, "formFields": { "values": [ { "fieldType": "dropdown", "fieldLabel": "Subreddit", "fieldOptions": { "values": [ { "option": "r/n8n" }, { "option": "r/mcp" }, { "option": "r/technews" } ] } } ] } }, "typeVersion": 2.3 }, { "id": "c4eb86fe-d196-46c4-86d2-2bd19173ba9f", "name": "[Flair]", "type": "n8n-nodes-base.aggregate", "position": [ 1072, 4368 ], "parameters": { "options": {}, "fieldsToAggregate": { "fieldToAggregate": [ { "renameField": true, "outputFieldName": "flair", "fieldToAggregate": "text" } ] } }, "typeVersion": 1 }, { "id": "f84b88ed-d92f-4ab6-b82b-03cc266b8983", "name": "Flair Selector Agent", "type": "@n8n/n8n-nodes-langchain.openAi", "position": [ 1232, 4368 ], "parameters": { "modelId": { "__rl": true, "mode": "list", "value": "gpt-4o-mini", "cachedResultName": "GPT-4O-MINI" }, "options": {}, "responses": { "values": [ { "content": "=Subreddit Flairs: {{ $json.flair }}\nTitle: {{ $('Extract Details').item.json.title }}\n\nSelect only one appropriate flair for given Title.\nOutput is plain text only" } ] }, "builtInTools": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 2 }, { "id": "893f18cf-2bc8-4a4a-8fbc-1c82d169984d", "name": "Re-generated Tweet", "type": "n8n-nodes-base.twitter", "position": [ 1920, 3952 ], "parameters": { "text": "={{ $('Re-generate Tweet Agent').item.json.output }}", "additionalFields": { "attachments": "={{ $json.data.id }}" } }, "credentials": { "twitterOAuth2Api": { "name": "" } }, "typeVersion": 2 }, { "id": "f5a69776-eeba-4c51-b996-b36ee6fcab55", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -1536, 2160 ], "parameters": { "width": 960, "height": 3264, "content": "# Article to Multi-Platform Social Media Post Generator\n\n## Overview\nAI-powered workflow that transforms any article URL into platform-optimized social media posts for LinkedIn, Twitter (X), and Reddit. Uses Mozilla Readability for content extraction, multi-agent AI with RAG from viral LinkedIn post database, and interactive review forms for content refinement before auto-publishing.\n\n**Key Capabilities:**\n- Extracts article content: title, author, text, images, metadata\n- Generates LinkedIn posts using 3-agent system with viral pattern matching\n- Creates Twitter threads under 280 characters with article links\n- Auto-posts to Reddit with AI-selected flairs\n- Interactive review/regeneration workflow with feedback loops\n- Auto-publishes with images or links to all platforms\n\n---\n\n# How It Works\n\n## Stage 1: Article Content Extraction\n1. **Form Submission**: User enters article URL (with basic auth protection)\n2. **URL Validation**: Checks if valid URL format\n3. **Article Scraping**: HTTP request fetches HTML content\n4. **Readability Parsing**: Mozilla Readability extracts:\n - Clean article text (removes ads, navigation, etc.)\n - Title, author, excerpt\n - Word count, site name\n - Featured image (from og:image, twitter:image, or first img tag)\n5. **Error Handling**: Returns user-friendly error if scraping fails\n\n## Stage 2: LinkedIn Post Generation (3-Agent System)\n\n**Agent 1: LinkedIn Post Strategist**\n- **Input**: Extracted article content (title, text, author, excerpt)\n- **RAG Process**: Queries Supabase vector database for similar viral LinkedIn posts\n- **Analysis**: Identifies patterns, hooks, formatting, engagement triggers\n- **Output**: Strategic insights and viral content patterns\n\n**Agent 2: LinkedIn Post Generator**\n- **Input**: Article content + strategist insights\n- **Process**: Creates post using viral patterns from database\n- **Rule**: Must include article URL in post\n- **Output**: Draft LinkedIn post\n\n**Agent 3: LinkedIn Post Formatter**\n- **Input**: Generated post\n- **Process**: \n - Removes extraneous content\n - Applies Sans Serif Bold Unicode for emphasis (\ud835\uddef\ud835\uddfc\ud835\uddf9\ud835\uddf1 \ud835\ude01\ud835\uddf2\ud835\ude05\ud835\ude01)\n - Removes markdown/em dashes\n - Ensures clean formatting\n- **Output**: Polished, ready-to-post LinkedIn content\n\n**Review Loop**:\n1. User sees formatted post in web form\n2. Options: \"Regenerate\" or \"Continue\"\n3. If regenerate: Provide feedback \u2192 Agent creates new version\n4. Second review form with same options\n5. After 2 iterations or approval, proceeds to image selection\n\n## Stage 3: Image Handling for LinkedIn\n1. **Image Preview**: Shows extracted article image\n2. **User Choice**:\n - \"Yes\" \u2192 Downloads image, posts with text + image\n - \"Continue without Image\" \u2192 Posts with text + article link preview\n3. **Auto-Publish**: Posts to LinkedIn with selected format\n\n## Stage 4: Twitter (X) Post Generation\n**Parallel process** (runs alongside LinkedIn):\n1. **Twitter Agent**: \n - Creates tweet under 280 characters (including spaces)\n - Must include article URL\n - Uses GPT-4.1 or GPT-5 models\n2. **Tweet Review Form**: User reviews generated tweet\n3. **Regeneration Loop** (if requested):\n - User provides feedback\n - Re-generate Tweet Agent creates new version\n - Second review form\n4. **Auto-Tweet**: Posts with article image attachment\n\n## Stage 5: Reddit Post Automation\n**Parallel process** (runs alongside LinkedIn/Twitter):\n1. **Subreddit Selection**: User picks from dropdown (r/n8n, r/mcp, r/technews)\n2. **Flair Retrieval**: Fetches available flairs for selected subreddit via Reddit API\n3. **AI Flair Selection**: \n - GPT-4o-mini analyzes article title + available flairs\n - Selects most appropriate flair\n4. **Auto-Post**: Submits link post to Reddit with title and selected flair\n\n---\n\n# How To Use\n\n## Prerequisites\n\n### API Credentials Required\n1. **OpenAI API**: GPT-4.1, GPT-5, GPT-5-mini, GPT-4o-mini access\n2. **Supabase**: Vector database with `linkedin_post` table (from previous workflow)\n3. **LinkedIn OAuth2**: Developer app with posting permissions\n4. **Twitter OAuth2**: Developer account with tweet permissions\n5. **Reddit OAuth2**: App credentials with submit permissions\n6. **Basic Auth**: For form password protection\n\n## Setup Steps\n\n### 1. Configure Form Access\n- Open **\"On Article Submission\"** node\n- Set up basic auth credentials for form protection\n- Get form URL from webhook settings\n\n### 2. Link Vector Database\n- Ensure Supabase vector store has viral LinkedIn posts (use previous workflow to populate)\n- Verify **\"LinkedIn Post Vector Store\"** credentials\n- Check **\"Embedding\"** node has OpenAI API key\n\n### 3. Set Up Social Media APIs\n\n**LinkedIn**:\n- Configure **\"Text + Image\"** and **\"Text + Link\"** nodes\n- Update `person` parameter with your LinkedIn profile ID\n- Add OAuth2 credentials\n\n**Twitter**:\n- Configure **\"Tweet\"** and **\"Re-generated Tweet\"** nodes\n- Add Twitter OAuth2 credentials\n\n**Reddit**:\n- Update subreddit list in **\"Reddit Form\"** dropdown (customize to your subreddits)\n- Configure **\"Get Flair\"**, **\"Reddit Post\"** nodes with OAuth2\n- Update subreddit name in **\"Reddit Post\"** query parameters\n\n### 4. Configure AI Models\n- Verify all OpenAI credentials in language model nodes\n- Models used: GPT-4.1, GPT-5, GPT-5-mini (adjust based on your access)\n\n" }, "typeVersion": 1 } ], "connections": { "5": { "ai_languageModel": [ [ { "node": "LinkedIn Post Formatter", "type": "ai_languageModel", "index": 1 }, { "node": "LinkedIn Post Generator", "type": "ai_languageModel", "index": 1 }, { "node": "LinkedIn Post Strategist", "type": "ai_languageModel", "index": 1 }, { "node": "Re-generate LinkedIn Post", "type": "ai_languageModel", "index": 1 } ] ] }, "5.": { "ai_languageModel": [ [ { "node": "Re-generate Tweet Agent", "type": "ai_languageModel", "index": 1 }, { "node": "Twitter Agent", "type": "ai_languageModel", "index": 1 } ] ] }, "If": { "main": [ [ { "node": "Scrape Article", "type": "main", "index": 0 } ] ] }, "4.1": { "ai_languageModel": [ [ { "node": "LinkedIn Post Strategist", "type": "ai_languageModel", "index": 0 }, { "node": "LinkedIn Post Generator", "type": "ai_languageModel", "index": 0 }, { "node": "LinkedIn Post Formatter", "type": "ai_languageModel", "index": 0 }, { "node": "Re-generate LinkedIn Post", "type": "ai_languageModel", "index": 0 } ] ] }, "4.i": { "ai_languageModel": [ [ { "node": "Twitter Agent", "type": "ai_languageModel", "index": 0 }, { "node": "Re-generate Tweet Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "5 mini": { "ai_languageModel": [ [ { "node": "Structured Output Parser", "type": "ai_languageModel", "index": 0 } ] ] }, "5 minii": { "ai_languageModel": [ [ { "node": "Structured Output Parser X", "type": "ai_languageModel", "index": 0 } ] ] }, "[Flair]": { "main": [ [ { "node": "Flair Selector Agent", "type": "main", "index": 0 } ] ] }, "Embedding": { "ai_embedding": [ [ { "node": "LinkedIn Post Vector Store", "type": "ai_embedding", "index": 0 } ] ] }, "Get Flair": { "main": [ [ { "node": "[Flair]", "type": "main", "index": 0 } ] ] }, "Reddit Form": { "main": [ [ { "node": "Get Flair", "type": "main", "index": 0 } ] ] }, "Reddit Post": { "main": [ [] ] }, "Twitter Agent": { "main": [ [ { "node": "Tweet Review Form", "type": "main", "index": 0 } ] ] }, "Scrape Article": { "main": [ [ { "node": "Extract Details", "type": "main", "index": 0 } ], [ { "node": "\u26a0\ufe0fUnable to Process Article", "type": "main", "index": 0 } ] ] }, "Extract Details": { "main": [ [ { "node": "LinkedIn Post Strategist", "type": "main", "index": 0 }, { "node": "Twitter Agent", "type": "main", "index": 0 }, { "node": "Reddit Form", "type": "main", "index": 0 } ] ] }, "Post Review Form": { "main": [ [ { "node": "Post Review Condition", "type": "main", "index": 0 } ] ] }, "Tweet Review Form": { "main": [ [ { "node": "Tweeet Review Conditions", "type": "main", "index": 0 } ] ] }, "Image Preview Form": { "main": [ [ { "node": "Image Preview Conditions", "type": "main", "index": 0 } ] ] }, "Post 2 Review Form": { "main": [ [ { "node": "Post 2 Review Conditions", "type": "main", "index": 0 } ] ] }, "Tweet 2 Review Form": { "main": [ [ { "node": "Tweet 2 Review Conditions", "type": "main", "index": 0 } ] ] }, "Flair Selector Agent": { "main": [ [ { "node": "Reddit Post", "type": "main", "index": 0 } ] ] }, "On Article Submission": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "Post Review Condition": { "main": [ [ { "node": "Re-generate LinkedIn Post", "type": "main", "index": 0 } ], [ { "node": "Download Image for Form", "type": "main", "index": 0 } ] ] }, "Download Image for Form": { "main": [ [ { "node": "Image Preview Form", "type": "main", "index": 0 } ] ] }, "LinkedIn Post Formatter": { "main": [ [ { "node": "Post Review Form", "type": "main", "index": 0 } ] ] }, "LinkedIn Post Generator": { "main": [ [ { "node": "LinkedIn Post Formatter", "type": "main", "index": 0 } ] ] }, "Re-generate Tweet Agent": { "main": [ [ { "node": "Tweet 2 Review Form", "type": "main", "index": 0 } ] ] }, "Image Preview Conditions": { "main": [ [ { "node": "Download Image for LinkedIn Post", "type": "main", "index": 0 } ], [ { "node": "Text + Link", "type": "main", "index": 0 } ] ] }, "LinkedIn Post Strategist": { "main": [ [ { "node": "LinkedIn Post Generator", "type": "main", "index": 0 } ] ] }, "Post 2 Review Conditions": { "main": [ [ { "node": "Download Image for Form", "type": "main", "index": 0 } ], [ { "node": "The End", "type": "main", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "LinkedIn Post Strategist", "type": "ai_outputParser", "index": 0 } ] ] }, "Tweeet Review Conditions": { "main": [ [ { "node": "Tweet", "type": "main", "index": 0 } ], [ { "node": "Re-generate Tweet Agent", "type": "main", "index": 0 } ] ] }, "Re-generate LinkedIn Post": { "main": [ [ { "node": "Post 2 Review Form", "type": "main", "index": 0 } ] ] }, "Tweet 2 Review Conditions": { "main": [ [], [ { "node": "Re-generated Tweet", "type": "main", "index": 0 } ] ] }, "LinkedIn Post Vector Store": { "ai_tool": [ [ { "node": "LinkedIn Post Strategist", "type": "ai_tool", 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