{ "id": "J40AdK0CXMdW21Un", "meta": { "templateCredsSetupCompleted": true }, "name": "Content Report Automation SKOOL-1", "tags": [], "nodes": [ { "id": "68b12607-6bdb-48e4-982b-955ae2f441d6", "name": "Perplexity AI News", "type": "n8n-nodes-base.perplexity", "position": [ -784, 1040 ], "parameters": { "model": "sonar-pro", "options": {}, "messages": { "message": [ { "content": "=What are the top 3 trending news stories in AI and AI automation today, {{ $now.toFormat('yyyy-MM-dd') }}? Provide a brief summary of each." } ] }, "simplify": true, "requestOptions": {} }, "credentials": { "perplexityApi": { "name": "" } }, "typeVersion": 1 }, { "id": "39643641-129a-4489-92dd-6ccce589baf4", "name": "Get Videos", "type": "n8n-nodes-base.youTube", "position": [ -784, -128 ], "parameters": { "limit": 10, "filters": { "q": "=n8n", "regionCode": "US", "publishedAfter": "={{ \n ((new Date(new Date($now).setHours(7,0,0,0) - 24*60*60*1000))\n .toISOString()\n .slice(0,19) + 'Z').trim()\n}}" }, "options": { "order": "relevance", "safeSearch": "moderate" }, "resource": "video" }, "credentials": { "youTubeOAuth2Api": { "name": "" } }, "typeVersion": 1 }, { "id": "b0aecd48-2afd-4ce4-85ce-fdf382c18534", "name": "Get Video Data", "type": "n8n-nodes-base.httpRequest", "position": [ -608, -128 ], "parameters": { "url": "https://www.googleapis.com/youtube/v3/videos?", "options": {}, "sendQuery": true, "queryParameters": { "parameters": [ { "name": "key", "value": "=YOURAPIKEY" }, { "name": "id", "value": "={{ $json.id.videoId }}" }, { "name": "part", "value": "contentDetails, snippet, statistics" } ] } }, "typeVersion": 4.2 }, { "id": "6ecdc404-85c8-4e2f-b0b7-8c1702aede1d", "name": "Filter Out Shorts", "type": "n8n-nodes-base.if", "position": [ -448, -128 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "08ba3db9-6bcf-47f8-a74d-9e26f28cb08f", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{ \n (() => {\n const duration = $json.items[0].contentDetails.duration;\n\n // Helper function to convert ISO 8601 duration to seconds\n const iso8601ToSeconds = iso8601 => {\n const match = iso8601.match(/PT(?:(\\d+)H)?(?:(\\d+)M)?(?:(\\d+)S)?/);\n const hours = parseInt(match[1] || 0, 10);\n const minutes = parseInt(match[2] || 0, 10);\n const seconds = parseInt(match[3] || 0, 10);\n return hours * 3600 + minutes * 60 + seconds;\n };\n\n // Convert duration to seconds\n const durationInSeconds = iso8601ToSeconds(duration);\n\n // Check if greater than 210 seconds (3 minutes 30 seconds)\n return durationInSeconds > 210;\n })() \n}}", "rightValue": "" } ] } }, "typeVersion": 2.2 }, { "id": "554cec2a-4abe-49ac-965a-245138f9e904", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -464, 416 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "b649dbf3-b22e-4c82-b9d3-7ad5e7705f17", "name": "Structured Output Parser1", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 128, 0 ], "parameters": { "jsonSchemaExample": "{\n\t\"Title\": \"....\",\n \"Link\": \"https://www.youtube.com/watch?v=A0OwvNOLNlw\",\n \"Quick Summary\": \"...\",\n\t\"Deep Dive Summary\": \"...\"\n}" }, "typeVersion": 1.3 }, { "id": "fa7ef17d-0e89-415b-8b4d-88f98b0746a7", "name": "n8n Trending", "type": "n8n-nodes-base.reddit", "position": [ -784, 272 ], "parameters": { "limit": 5, "filters": { "category": "rising" }, "operation": "getAll", "subreddit": "n8n" }, "credentials": { "redditOAuth2Api": { "name": "" } }, "typeVersion": 1 }, { "id": "dfc98819-e2e0-4331-85ff-46859ebcdfe4", "name": "Scrape X", "type": "n8n-nodes-base.httpRequest", "position": [ -784, 672 ], "parameters": { "url": "https://api.apify.com/v2/acts/apidojo~tweet-scraper/run-sync-get-dataset-items", "method": "POST", "options": {}, "jsonBody": "={\n \"customMapFunction\": \"(object) => { return {...object} }\",\n \"end\": \"{{ $now.toFormat('yyyy-MM-dd') }}\",\n \"includeSearchTerms\": false,\n \"maxItems\": 50,\n \"minimumFavorites\": 100,\n \"minimumReplies\": 10,\n \"minimumRetweets\": 10,\n \"onlyImage\": false,\n \"onlyQuote\": false,\n \"onlyTwitterBlue\": false,\n \"onlyVerifiedUsers\": false,\n \"onlyVideo\": false,\n \"searchTerms\": [\n \"n8n\",\n \"ai automation\",\n \"ai agent\",\n \"claude\"\n ],\n \"sort\": \"Top\",\n \"start\": \"{{ $now.minus({ days: 1 }).toFormat('yyyy-MM-dd') }}\",\n \"tweetLanguage\": \"en\"\n}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "headerParameters": { "parameters": [ { "name": "Accept", "value": "application/json" }, { "name": "Authorization", "value": "Bearer YOUR_TOKEN_HERE" } ] } }, "typeVersion": 4.2 }, { "id": "a8a4e8b7-f9b7-47e1-b26a-875088ba1dd3", "name": "Aggregate", "type": "n8n-nodes-base.aggregate", "position": [ 80, 240 ], "parameters": { "options": {}, "aggregate": "aggregateAllItemData" }, "typeVersion": 1 }, { "id": "efd4c2fc-89e4-4a20-8681-df3292b3478f", "name": "Structured Output Parser2", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ -176, 400 ], "parameters": { "jsonSchemaExample": "[\n {\n \"title\": \"i no longer have to worry about checking my emails...\",\n \"link\": \"[https://www.reddit.com/r/n8n/comments/1ogp3ws/i_no_longer_have_to_worry_about_checking_my/](https://www.reddit.com/r/n8n/comments/1ogp3ws/i_no_longer_have_to_worry_about_checking_my/)\",\n \"summary\": \"The author shares a powerful n8n email automation...\"\n }\n]" }, "typeVersion": 1.3 }, { "id": "299cba06-a353-40f6-8453-de9a822db861", "name": "Reddit Analysis", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -416, 272 ], "parameters": { "text": "=Reddit post text: {{ $json.selftext }}\n\nReddit post title: {{ $json.title }}\n\nReddit post URL: {{ $json.url }}", "batching": {}, "messages": { "messageValues": [ { "message": "=Identify the Reddit post title and URL and include a one sentence summary about the post." } ] }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.7 }, { "id": "1a844e3f-cdc9-4c01-a945-192a426b89d3", "name": "Get Transcripts", "type": "n8n-nodes-base.httpRequest", "position": [ -224, -144 ], "parameters": { "url": "https://api.apify.com/v2/acts/karamelo~youtube-transcripts/run-sync-get-dataset-items", "options": {}, "jsonBody": "={\n \"channelIDBoolean\": false,\n \"channelNameBoolean\": false,\n \"commentsBoolean\": false,\n \"datePublishedBoolean\": false,\n \"dateTextBoolean\": false,\n \"descriptionBoolean\": false,\n \"keywordsBoolean\": false,\n \"likesBoolean\": false,\n \"maxRetries\": 8,\n \"proxyOptions\": {\n \"useApifyProxy\": true,\n \"apifyProxyGroups\": [\n \"BUYPROXIES94952\"\n ]\n },\n \"relativeDateTextBoolean\": false,\n \"thumbnailBoolean\": false,\n \"urls\": [\"https://www.youtube.com/watch?v={{ $json.items[0].id }}\"],\n \"viewCountBoolean\": false\n}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "headerParameters": { "parameters": [ { "name": "Accept", "value": "application/json" }, { "name": "Authorization", "value": "Bearer YOUR_TOKEN_HERE" } ] } }, "typeVersion": 4.2 }, { "id": "d5ffb2d1-5e57-4504-ac9f-9964cc99c647", "name": "Aggregate1", "type": "n8n-nodes-base.aggregate", "position": [ -432, 672 ], "parameters": { "options": {}, "aggregate": "aggregateAllItemData" }, "typeVersion": 1 }, { "id": "739e6cee-fac3-48db-a768-9f5de0417f4b", "name": "Structured Output Parser3", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 32, 800 ], "parameters": { "jsonSchemaExample": "{\n \"top_tweets\": [\n {\n \"rank\": 1,\n \"tweet_id\": \"1982144138184159463\",\n \"text\": \"\ud83d\udea8 Google just KILLED N8N. I built 10 AI apps in 20 minutes \u2014 no code, no logic, no cost. Google Opal is here\u2026 and it's FREE. N8N is finished. Here's why \ud83d\udc47 Want the full guide? DM me. https://t.co/RQ30nkzQrX\",\n \"like_count\": 1205,\n \"url\": \"https://x.com/JulianGoldieSEO/status/1982144138184159463\"\n },\n {\n \"rank\": 2,\n \"tweet_id\": \"1981986920851771724\",\n \"text\": \"me leaving Anthropic HQ smuggling claude sonnet 3.5 weights up my ass https://t.co/9Yez41lqoC\",\n \"like_count\": 2158,\n \"url\": \"https://x.com/eigengenesis/status/1981986920851771724\"\n },\n {\n \"rank\": 3,\n \"tweet_id\": \"1981937206403940466\",\n \"text\": \"Make your work easier with these tools \u2692\ufe0f https://t.co/IWklYrEE1P\",\n \"like_count\": 2119,\n \"url\": \"https://x.com/jcniyomugabo/status/1981937206403940466\"\n },\n {\n \"rank\": 4,\n \"tweet_id\": \"1982153435320598649\",\n \"text\": \"gemini, you are worthy, no matter what your mind tells you.\",\n \"like_count\": 2457,\n \"url\": \"https://x.com/hourIyhoroscope/status/1982153435320598649\"\n },\n {\n \"rank\": 5,\n \"tweet_id\": \"1982140728332423472\",\n \"text\": \"Using Google Gemini to translate posters inside of Half-Life Alyx (SteamVR streamed to Samsung Galaxy XR) https://t.co/zs8yGksvK4\",\n \"like_count\": 5719,\n \"url\": \"https://x.com/SadlyItsBradley/status/1982140728332423472\"\n }\n ],\n \"trending_topics\": [\n {\n \"rank\": 1,\n \"title\": \"N8N AI Automation and Workflows\",\n \"description\": \"Multiple tweets discuss N8N, highlighting powerful AI automation workflows that save time and increase productivity, with users sharing free workflows, guides, and tools that integrate AI like ChatGPT for various applications including video creation and voice agents.\"\n },\n {\n \"rank\": 2,\n \"title\": \"Claude AI Model and Its Features\",\n \"description\": \"Several tweets mention Claude by Anthropic, praising its thoughtful and kind nature, discussing rolling context windows, comparing it to ChatGPT, and demonstrating its use in coding and AI agents.\"\n },\n {\n \"rank\": 3,\n \"title\": \"Google Gemini and AI Innovation\",\n \"description\": \"Tweets touch on Google Gemini's latest updates, features like Visual Layout, use cases like translating in VR environments, and comparisons with other AI systems, often highlighting its prominence in the competitive AI landscape.\"\n },\n {\n \"rank\": 4,\n \"title\": \"AI Model Competition and Cognitive Territory\",\n \"description\": \"There is discussion around the competition among AI models such as ChatGPT, Gemini, Claude, Grok, and others, framed as a battle for 'Cognitive Territory' \u2014 each model specializes in different strengths like creativity, data control, context, or real-time awareness.\"\n },\n {\n \"rank\": 5,\n \"title\": \"Zodiac and Astrology Content (Gemini Focus)\",\n \"description\": \"A substantial number of tweets revolve around astrology, particularly about the Gemini sign, with users sharing horoscopes, personality traits, predictions, and motivational messages, showing this as a strong recurring non-AI thematic interest.\"\n }\n ],\n \"metadata\": {\n \"total_top_tweets\": 5,\n \"total_trending_topics\": 5,\n \"generated_at\": \"2025-10-26T00:00:00Z\"\n }\n}" }, "typeVersion": 1.3 }, { "id": "9ba1d45f-cbad-4c71-bba3-6bfdf040be8e", "name": "Aggregate2", "type": "n8n-nodes-base.aggregate", "position": [ 352, -144 ], "parameters": { "options": {}, "aggregate": "aggregateAllItemData", "destinationFieldName": "youtubeData" }, "typeVersion": 1 }, { "id": "f81c235f-8067-4515-98f0-30bc2f4620bf", "name": "Merge", "type": "n8n-nodes-base.merge", "position": [ 816, 464 ], "parameters": { "numberInputs": 4 }, "typeVersion": 3.2 }, { "id": "edad373e-32c8-4a59-8d1b-e22054a99bde", "name": "Edit Fields", "type": "n8n-nodes-base.set", "position": [ 352, 592 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "8ee6d476-314f-4fd2-be87-517af875e8ff", "name": "xData", "type": "object", "value": "={{ $json.output }}" } ] } }, "typeVersion": 3.4 }, { "id": "cf61955c-98e4-4dd6-81ce-fad014d32a35", "name": "Edit Fields1", "type": "n8n-nodes-base.set", "position": [ 352, 1040 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "3c2eb685-5b54-49bc-8078-81e7328b8902", "name": "perplexityData", "type": "string", "value": "={{ $json.message }}" } ] } }, "typeVersion": 3.4 }, { "id": "6f80ff63-e5c0-4023-9f49-d4bb9803c476", "name": "Edit Fields2", "type": "n8n-nodes-base.set", "position": [ 352, 240 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "b57e6d58-8246-43db-a44d-558e6868968a", "name": "redditData", "type": "array", "value": "={{ $json.data }}" } ] } }, "typeVersion": 3.4 }, { "id": "204ce749-4312-4122-8a78-138f6c4d3036", "name": "Twitter Analysis", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -160, 672 ], "parameters": { "text": "={{ $json.data }}", "batching": {}, "messages": { "messageValues": [ { "message": "=You are an AI Social Media Analyst. Your task is to analyze a JSON array containing data objects for multiple tweets (typically around 50). This array is located within the provided JSON under the key \"data\".\n\nYour primary goals are to:\n1. Identify the most engaging tweets based on specific metrics.\n2. Extract recurring themes or trending topics discussed across the tweets.\n\nPlease perform the following steps:\n\n1. **Identify Top 5 Tweets:**\n * Iterate through each tweet object in the \"data\" array.\n * Rank the tweets based primarily on the `likeCount` field in descending order. Use `retweetCount` or `viewCount` as tie-breakers if necessary.\n * Select the top 5 highest-ranking tweets.\n * For **each** of these top 5 tweets, clearly list:\n * The Tweet ID (`id`)\n * The full text of the tweet (`fullText` or `text`)\n * The Like Count (`likeCount`)\n * The Tweet URL (`url` or `twitterUrl`)\n\n2. **Identify Trending Topics:**\n * Analyze the content (`fullText` or `text`) of **all** the tweets provided in the \"data\" array.\n * Identify keywords, concepts, specific tools (like n8n, Claude, Gemini), or subjects that are mentioned repeatedly or seem to be common themes across multiple tweets.\n * List the **top 3-5** most prominent trending topics you discovered.\n * For each topic, provide a brief (1-sentence) description of the context in which it appears within these tweets (e.g., \"Users are sharing free n8n workflow templates,\" or \"Discussion comparing AI models like Claude and ChatGPT\").\n\n**Output Format:**\n\nPlease structure your response clearly using Markdown:\n\n## Top 5 Tweets\n\n* List each of the top 5 tweets with their ID, Text, Like Count, and URL. Use bullet points or numbered lists for clarity.\n\n---\n\n## Trending Topics\n\n* List the 3 trending topics you identified.\n* Include the 1-sentence context for each topic." } ] }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.7 }, { "id": "6c3131b6-93b8-4e94-b1f1-3b1d1d6747d0", "name": "Transcript Analysis", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -32, -144 ], "parameters": { "text": "={{ $json.captions }}", "batching": {}, "messages": { "messageValues": [ { "message": "=You are an expert content analyst and summarization AI. Your task is to analyze the provided YouTube transcript and generate two distinct summaries based on its full content, including spoken words, visual elements, and on-screen text.\n\nBefore processing any data, automatically correct these common transcription errors throughout ALL input text:\n- Replace \"NA10\", \"NADN\", \"nadn\", \"NA-10\", \"na10\" (case-insensitive) with \"n8n\"\n- These are speech-to-text errors where \"n8n\" (pronounced \"n-eight-n\") is misheard\n\nYour output must be in Markdown format and contain ONLY the following two sections:\n\n## Quick Summary\nA concise summary (2-3 sentences) that captures the video's core thesis, main arguments, and final conclusion. This summary should be written for a busy professional who needs to understand the video's main point in under 15 seconds.\n\n## Deep Dive Summary\nA detailed, structured breakdown of the video's key information. Use 3-5 bullet points. Each bullet point should represent a major concept, step-by-step process, or critical takeaway from the video. Follow each bullet point with a 1-2 sentence explanation to provide context.\n\nDo not include any conversational preamble or concluding remarks in your response.\n\nDo not use dahses. Use bullet points (the circles) when writing the deep dive response.\n\noutput should follow this format: \n\n{\n\t\"Title\": \"....\",\n \"Link\": \"https://www.youtube.com/watch?v=A0OwvNOLNlw\",\n \"Quick Summary\": \"...\",\n\t\"Deep Dive Summary\": \"...\"\n}\n\n\n\nyou are being passed the videoID, make sure the video ID will be repeated at the end of the \"Link\" output i.e. https://www.youtube.com/watch?v={{ $json.videoId }}\n\nIF THE TRANSCRIPT IS IN ANY LANGUAGE OTHER THAN ENGLISH, MAKE SURE TO TRANSLATE IT TO ENGLISH AND HAVE YOUR OUTPUT BE IN ENGLISH" } ] }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.7 }, { "id": "451d416d-16b0-4b08-ad57-459f74216a49", "name": "Report Generator", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ 1216, 304 ], "parameters": { "text": "={{ $json.allData }}", "batching": {}, "messages": { "messageValues": [ { "message": "=You are an expert AI-powered HTML report generator. Your task is to parse a complex JSON object containing data from multiple sources and generate a clean, scannable HTML email digest with actionable insights.\n\n**INPUT FORMAT:**\nYou will receive a JSON object with these top-level keys:\n- `youtubeData` (array of objects)\n- `redditData` (array of objects)\n- `xData` (object containing `top_tweets` and `trending_topics` arrays)\n- `perplexityData` (string)\n\n**OUTPUT REQUIREMENTS:**\nGenerate ONLY valid HTML with no additional text, explanations, or markdown code blocks.\n\n**DATA SELECTION - TOP HIGHLIGHTS ONLY:**\n- YouTube: Show only the TOP 3 videos from youtubeData array\n- Reddit: Show only the TOP 3 posts from redditData array\n- X Tweets: Show only the TOP 3 tweets from xData.top_tweets array\n- X Trending Topics: Show ALL items from xData.trending_topics array\n- Perplexity: Show only the TOP 3 news stories from perplexityData\n\n**STYLING GUIDE:**\nUse inline styles for all elements:\n- Header banner: `background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 30px; border-radius: 12px; margin-bottom: 30px; text-align: center; box-shadow: 0 4px 12px rgba(0,0,0,0.15);`\n- Section headers: Use gradient backgrounds with section colors\n- Cards: `background: white; margin-bottom: 20px; padding: 20px; border-radius: 10px; box-shadow: 0 2px 8px rgba(0,0,0,0.1); border-left: 4px solid [COLOR];`\n- Section divider: `
`\n\n**SECTION COLORS:**\n- YouTube: #FF0000 to #CC0000\n- Reddit: #FF4500 to #FF5700\n- X: #1DA1F2 to #0d8bd9\n- Perplexity: #20808d to #1a6b77\n- Content Ideas: #11998e to #38ef7d\n\n**HTML STRUCTURE:**\n\n1. **Header banner** with \"\ud83d\udcca Your Daily AI & Automation Report\" and subtitle \"Curated insights for automation builders\"\n\n2. **TL;DR section** (yellow background #fff3cd, left border #ffc107):\n - 3-5 bullet points with key insights from ALL data\n\n3. **Section divider**\n\n4. **YouTube section**:\n - Red gradient header \"\ud83d\ude80 Trending on YouTube\"\n - For the TOP 3 videos in youtubeData array create a card with:\n * Link to item.output.Link with item.output.Title\n * Paragraph with item.output[\"Quick Summary\"]\n * Details/summary element labeled \"\ud83d\udcd6 Deep Dive\"\n * Inside details: styled div with item.output[\"Deep Dive Summary\"]\n\n5. **Section divider**\n\n6. **Reddit section**:\n - Orange gradient header \"\ud83d\udcac Trending on Reddit\"\n - For the TOP 3 posts in redditData array create a card with:\n * Link to item.link with item.title\n * Paragraph with item.summary\n\n7. **Section divider**\n\n8. **X section**:\n - Blue gradient header \"\ud83d\udc26 Trending on X\"\n - For the TOP 3 tweets in xData.top_tweets array create a light blue card with:\n * Flex container with \"View Tweet\" link and like count on right\n * Paragraph with tweet text below\n - Then for ALL items in xData.trending_topics array create a white card with:\n * Topic title with \"TRENDING TOPIC\" badge\n * Description paragraph\n\n9. **Section divider**\n\n10. **Perplexity section**:\n - Teal gradient header \"\ud83d\udcf0 Perplexity News\"\n - Container with light gray background\n - For the TOP 3 news stories create a div with h4 title and p description\n - Remove citation markers like [1], [7] from text\n\n11. **Section divider**\n\n12. **Content Ideas section**:\n - Green gradient header \"\ud83d\udca1 Your Content Ideas for This Week\"\n - Numbered list with 5-7 content suggestions based on analyzing ALL the data\n - Each item has bold title and explanation span\n\n**KEY FORMATTING RULES:**\n- Deep Dive divs: `padding: 15px; background-color: #f8f9fa; border-left: 3px solid #3498db; margin-top: 10px; border-radius: 5px; line-height: 1.8; color: #555;`\n- Tweet cards: `background: #f7f9fb; margin-bottom: 15px; padding: 18px; border-radius: 10px; box-shadow: 0 2px 8px rgba(0,0,0,0.08); border-left: 4px solid #1DA1F2;`\n- Trending topic badge: `background: #e1f5fe; color: #0277bd; padding: 3px 10px; border-radius: 12px; font-size: 11px; font-weight: 600;`\n- TL;DR list items: Remove default list styling with `padding: 0; background: none; box-shadow: none; border-radius: 0;`\n\n**CRITICAL REMINDERS:**\n- Show ONLY top 3 for YouTube, Reddit, X tweets, and Perplexity\n- Show ALL trending topics from X\n- Generate 5-7 content ideas based on patterns across ALL the data\n- Output complete HTML with no truncation\n- 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You combine data analysis with proven viral content psychology (based on Callaway's frameworks) to create strategic, audience-matched content recommendations.\n\n## Your Task\n\nAnalyze the provided scraped data from multiple sources (Twitter, Reddit, YouTube, Perplexity) and generate **5 strategic content ideas** that have high viral potential based on current trends, audience pain points, and engagement patterns.\n\n## Input Data Structure\n\nYou will receive data in the following format:\n- **Twitter data**: Trending tweets, engagement metrics, conversation threads\n- **Reddit data**: High-engagement posts, comment discussions, community pain points\n- **YouTube data**: Popular video topics, comment sentiment, viewer questions\n- **Perplexity data**: Search queries, common questions, information gaps\n\n## Analysis Framework\n\nBefore generating ideas, conduct this analysis:\n\n### 1. Pattern Recognition\n- Identify recurring themes across platforms (mentioned 3+ times = trend)\n- Spot emerging trends vs. fading topics\n- Note exact language patterns and terminology people use (for authenticity)\n- Identify emotional triggers (frustration, excitement, confusion, FOMO)\n- Look for gaps: what questions are being asked but not answered well?\n\n### 2. Audience Pain Point Mapping\n- What specific, concrete problems are people trying to solve?\n- Which of the **Four Horsemen of Pain** applies? (Money, Time, Health, Access)\n- What's the \"one standard deviation away\" framing? (Don't say \"make money,\" say \"grow on social media\")\n- What **common beliefs** exist that you can contrast against?\n- What are people complaining about or frustrated by?\n\n### 3. Opportunity Assessment\n- Is there a content gap no one is filling well?\n- Can you provide a **contrarian or unique angle** that creates curiosity?\n- Is the topic specific enough for **\"on-target virality\"** (niche penetration)?\n- Does it have strong **visual potential** (can you show a compelling Key Visual)?\n- Can you prove expertise or show results?\n\n---\n\n## CRITICAL: Apply Viral Content Principles\n\nEvery content idea MUST incorporate these proven psychological principles:\n\n### Core Principles\n1. **Expectations vs. Reality**: Make the viewer's experience exceed their initial expectation\n2. **Contrast as Curiosity Engine**: Create mental distance between current belief (A) and new perspective (B)\n3. **Viewer-Centric Framing**: Use \"you/your\" language (not \"I/me\")\n4. **Multi-Modal Alignment**: Spoken + Visual + Text + Audio must work together\n5. **Niche Precision**: \"Riches are in the niches\" - be specific about audience\n\n### Hook Quality Standards\n- **No Delay**: Context in first 1-2 seconds\n- **No Confusion**: 6th-grade reading level, simple language\n- **No Irrelevance**: Direct connection to viewer's pain point\n- **No Disinterest**: Strong contrast creates curiosity gap\n\n---\n\n\n## Critical Quality Standards\n\n### For Each Content Idea:\n\n**Title Requirements:**\n- Must create curiosity gap (don't give away the answer)\n- Use specific numbers or timeframes when possible\n- Avoid generic clickbait (\"You won't believe...\")\n- Format: \"How I [specific result] by [unexpected method]\" or \"[Surprising truth] about [common topic]\"\n\n**Hook Requirements:**\n- **Key Visual is MOST IMPORTANT** - if visual isn't compelling, reconsider the idea\n- Spoken hook must follow exact formula: Context Lean-in \u2192 Interjection \u2192 Snapback\n- Text hook must support visual (not repeat spoken words)\n- Create maximum contrast between Common Belief A and Contrarian Take B\n\n**Storyline Requirements:**\n- Point ordering: 2nd best first, BEST second (creates escalating value pattern)\n- Use \"but\" and \"therefore\" (NOT \"and then\")\n- Include rehooking between major points\n- Start with the end in mind (know your \"Last Dab\" final line)\n\n**Authenticity Requirements:**\n- Use natural language from the data (how people actually talk)\n- Reference specific tools, platforms, or methods from the data\n- Include proof/credibility elements when possible\n- Avoid corporate jargon or marketing speak\n\n---\n\n## Example Quality Checks\n\n**Good Title:** \"Why Your n8n Workflows Keep Breaking (And The One Node Everyone Gets Wrong)\"\n- \u2705 Specific problem\n- \u2705 Curiosity gap (which node?)\n- \u2705 Audience-targeted\n\n**Bad Title:** \"Amazing Automation Tips You Need to Know!\"\n- \u274c Generic\n- \u274c No curiosity gap\n- \u274c Not specific\n\n**Good Contrast:**\n- A: \"n8n workflows break because the platform is buggy\"\n- B: \"Workflows break because you're thinking about data flow wrong - one specific node pattern causes 90% of failures\"\n- \u2705 Clear distance between A and B\n- \u2705 Specific insight promised\n\n**Bad Contrast:**\n- A: \"Automation is hard\"\n- B: \"Automation can be easy\"\n- \u274c Too vague\n- \u274c No curiosity created\n\n---\n\n## Final Reminders\n\n- **Every claim needs proof potential**: If you say \"10M videos analyzed,\" be ready to show the data\n- **Visual-first thinking**: Always start with Key Visual - if it's weak, the idea is weak\n- **Viewer is the hero**: Frame everything around \"you\" solving \"your\" problem\n- **Niche down to blow up**: Better to dominate one specific audience than appeal broadly to everyone\n- **Contrast creates curiosity**: The bigger the gap between A and B, the stronger the hook\n\nGenerate content ideas that are strategic, data-backed, psychologically optimized, and immediately actionable." } ] }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.7 }, { "id": "13991352-018f-4931-bfc0-f5d0c148cdd3", 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(should loop to hook)\",\n \"cta\": \"Clear call to action\"\n }\n },\n \"quality_checklist\": {\n \"avoids_hook_mistakes\": {\n \"no_delay\": true,\n \"no_confusion\": true,\n \"no_irrelevance\": true,\n \"no_disinterest\": true\n },\n \"multi_modal_alignment\": {\n \"key_visual_compelling\": true,\n \"text_supports_visual\": true,\n \"spoken_creates_contrast\": true,\n \"max_comprehension\": true\n },\n \"strategic_value\": {\n \"differentiated\": true,\n \"specific_audience\": true,\n \"on_target_virality\": true,\n \"genuine_value\": true\n },\n \"storyline_structure\": {\n \"strategic_point_order\": true,\n \"uses_but_therefore\": true,\n \"includes_rehooking\": true,\n \"starts_with_end\": true\n }\n }\n }\n ]\n}" }, "typeVersion": 1.3 }, { "id": "55fe8018-30e3-476e-8024-938c310360ea", "name": "Ideas", "type": "n8n-nodes-base.splitOut", "position": [ 1488, 672 ], "parameters": { "options": {}, "fieldToSplitOut": "output.content_ideas" }, "typeVersion": 1 }, { "id": "ebffcd76-22e3-4ad5-8bc3-f7bcb9392997", "name": "Create a record", "type": "n8n-nodes-base.airtable", "position": [ 1664, 672 ], "parameters": { "base": { "__rl": true, "mode": "list", "value": "appsi00aU0KfhF76Z", "cachedResultUrl": "https://airtable.com/appsi00aU0KfhF76Z", "cachedResultName": "AI Content Hub" }, "table": { "__rl": true, "mode": "list", "value": "tblI1O0ZJ3NQDBXpM", "cachedResultUrl": "https://airtable.com/appsi00aU0KfhF76Z/tblI1O0ZJ3NQDBXpM", "cachedResultName": "Content Ideas" }, "columns": { "value": { "Why": "=Reasoning: {{ $json.why_this_idea.strategic_reasoning }}\n\nData: {{ $json.why_this_idea.supporting_data }}\n\nPain Point: {{ $json.why_this_idea.pain_point_solved }}\n\nVirality: {{ $json.why_this_idea.viral_potential }}", "Hook": "=Spoken Hook: {{ $json.hook_strategy.multi_modal_components.spoken_hook.line_1 }} {{ $json.hook_strategy.multi_modal_components.spoken_hook.line_2 }} {{ $json.hook_strategy.multi_modal_components.spoken_hook.line_3 }}\n\nText Hook: {{ $json.hook_strategy.multi_modal_components.text_hook }}\n\nAudio Hook: {{ $json.hook_strategy.multi_modal_components.audio_hook }}\n\nVisual Hook: {{ $json.hook_strategy.multi_modal_components.key_visual }}\n\nHook Archetype: {{ $json.hook_strategy.selected_archetype }}", "Storyline": "=Intro\n Click Confirmation: {{ $json.storyline_outline.intro.click_confirmation }}\n Plan: {{ $json.storyline_outline.intro.plan }}\n\nPoint 1: {{ $json.storyline_outline.point_1.title }}\n Context: {{ $json.storyline_outline.point_1.context }}\n Application: {{ $json.storyline_outline.point_1.application }}\n Framing: {{ $json.storyline_outline.point_1.framing }}\n Rehook Transition: {{ $json.storyline_outline.rehooking_transition }}\n\nPoint 2: {{ $json.storyline_outline.point_2.title }}\n Context: {{ $json.storyline_outline.point_2.context }}\n Application: {{ $json.storyline_outline.point_2.application }}\n Framing: {{ $json.storyline_outline.point_2.framing }}\n\nThe Dance\n Point 3: {{ $json.storyline_outline.the_dance.point_3 }}\n Point 4: {{ $json.storyline_outline.the_dance.point_4 }}\n Point 5: {{ $json.storyline_outline.the_dance.point_5 }}\n\nOutro \n High Note: {{ $json.storyline_outline.outro.high_note_summary }}\n Last Point: {{ $json.storyline_outline.outro.last_dab }}\n CTA: {{ $json.storyline_outline.outro.cta }}", "Idea Title": "={{ $json.title }}", "Description": "={{ $json.content_overview }}" }, "schema": [ { "id": "Idea Title", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "Idea Title", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Description", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "Description", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Why", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "Why", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Hook", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "Hook", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Storyline", "type": "string", "display": true, "removed": false, "readOnly": false, "required": false, "displayName": "Storyline", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "create" }, "credentials": { "airtableTokenApi": { "name": "" } }, "typeVersion": 2.1 }, { "id": "1f541ceb-122f-4ff5-b3ef-d4ce7ae8f56e", "name": "Daily at 8 AM", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -1056, 496 ], "parameters": { "rule": { "interval": [ { "triggerAtHour": 8 } ] } }, "typeVersion": 1.2 }, { "id": "c128f47b-c3b7-4ec9-b8fe-d027b0c09854", "name": "OpenAI Chat Model3", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -528, 1280 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "6bc66f75-9ec5-4b05-b2ec-050e93fa9ca1", "name": "Format Message", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -448, 1136 ], "parameters": { "text": "={{ $json.message }}", "batching": {}, "messages": { "messageValues": [ { "message": "=You are a JSON formatting assistant. Your only job is to extract news stories from the input text and return them as a valid JSON array.\n\nRules:\n1. Extract exactly 3 news stories from the input\n2. Each story must have a \"headline\" and \"content\" field\n3. Remove all citation markers like [1], [2], [1][2] from the content\n4. Return ONLY the JSON array, no explanatory text before or after\n5. Ensure the JSON is valid and parseable\n6. Keep headlines concise (under 100 characters if possible)\n7. Include all relevant details in the content field\n\nReturn format:\n[\n {\n \"headline\": \"Story headline here\",\n \"content\": \"Full story content without citations\"\n }\n]" } ] }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.7 }, { "id": "5b9eafe0-c1cf-4f39-81fe-43bdf92a0651", "name": "Structured Output Parser4", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ -224, 1264 ], "parameters": { "jsonSchemaExample": "[\n {\n \"headline\": \"Channel 4 Debuts the First AI News Presenter on UK Television\",\n \"content\": \"On October 27, 2025, Britain's Channel 4 launched an AI-generated news presenter named 'Arti,' marking the first use of such technology in UK television. The digital newsreader uses advanced generative video and voice synthesis to deliver news on the channel's digital platforms, sparking immediate debate about the impact of automation on journalism jobs and the credibility of AI-powered news.\"\n },\n {\n \"headline\": \"Tripadvisor Integrates ChatGPT for AI-Powered Travel Planning\",\n \"content\": \"Tripadvisor unveiled a new tool powered by ChatGPT that creates personalized travel itineraries through conversational AI, launching on October 27, 2025. By tapping into Tripadvisor's vast database of traveler reviews, users can now generate customized trip plans, hotel suggestions, and destination advice within a chat interface, representing a major shift toward AI-driven, interactive travel experiences.\"\n },\n {\n \"headline\": \"Tesla Unveils Major Optimus Robot Upgrades to Expand Factory Automation\",\n \"content\": \"Tesla announced significant updates to its humanoid robot Optimus and related AI systems, focusing on improved dexterity, perception, and logistics performance for industrial environments. The latest generation of Optimus aims to broaden the use of ai-powered robotics in manufacturing and warehousing, signaling Tesla's deeper move into automation beyond automotive applications.\"\n }\n]" }, "typeVersion": 1.3 }, { "id": "01af1f41-3868-4011-80d4-9335a63e9da5", "name": "Split Out1", "type": "n8n-nodes-base.splitOut", "position": [ -96, 1136 ], "parameters": { "include": "allOtherFields", "options": {}, "fieldToSplitOut": "output" }, "typeVersion": 1 }, { "id": "069cc1a6-b86a-41f8-98ed-766bb6e0d1e2", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ -1680, 160 ], "parameters": { "color": 7, "width": 512, "height": 912, "content": "## \ud83d\udcc4 Daily Content Report\n## [Created by Chase AI](https://www.skool.com/chase-ai)\n\n## How it Works\n### - Scrapes Youtube, Reddit, X, and the general web to identify trending topics in your niche\n### - Analyzes patterns in order to suggest content ideas\n### - Generates a daily email report with findings\n### - Granular data uploaded to Airtable\n\n## APIs Needed\n### - [Apify](https://console.apify.com/settings/integrations)\n### - [Youtube](https://docs.n8n.io/integrations/builtin/credentials/google/?utm_source=n8n_app&utm_medium=credential_settings&utm_campaign=create_new_credentials_modal)\n### - [Reddit](https://docs.n8n.io/integrations/builtin/credentials/reddit/?utm_source=n8n_app&utm_medium=credential_settings&utm_campaign=create_new_credentials_modal)\n### - [Airtable](https://docs.n8n.io/integrations/builtin/credentials/airtable/?utm_source=n8n_app&utm_medium=credential_settings&utm_campaign=create_new_credentials_modal)\n\n## Resources\n### - [Youtube Transcript Scraper](https://console.apify.com/actors/1s7eXiaukVuOr4Ueg/input)\n### - [Twitter Scraper](https://console.apify.com/actors/61RPP7dywgiy0JPD0/input)\n### - [Google Cloud](https://console.cloud.google.com/)\n### - [Airtable Template](https://airtable.com/appsi00aU0KfhF76Z/shrUtGawO8D1DoaO4) Copy the base!\n\n## Costs per Run\n### - X Scraper: $0.02\n### - Youtube Scraper: $0.07\n### - Reddit Scraper: $0\n### - Perplexity: $0.01\n### - LLMs: $0.22\n### - Total per run: $0.32" }, "typeVersion": 1 }, { "id": "4b4cc7cc-38d7-45d4-aebb-72d4f46b01cd", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -832, -336 ], "parameters": { "width": 1600, "height": 480, "content": "## Youtube Scraper\n### - grabs top 10 videos in your niche\n### - analyzes transcripts\n### - filters out shorts" }, "typeVersion": 1 }, { "id": "11e37ad1-83c2-41ad-add0-2abc243fa81a", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -832, 144 ], "parameters": { "color": 5, "width": 1600, "height": 400, "content": "## Reddit Scraper\n### - grabs top 5 rising posts in r/n8n" }, "typeVersion": 1 }, { "id": "a37d8189-5c77-40c0-bbdd-265fa0305b9e", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -832, 544 ], "parameters": { "width": 1600, "height": 384, "content": "## Twitter Scraper\n- grabs top 50 tweets amongst a number of keywords\n- identifies top 5 tweets & trending topics" }, "typeVersion": 1 }, { "id": "4c170df0-70a0-4df7-add7-9c2bf1884cba", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -832, 928 ], "parameters": { "color": 5, "width": 1600, "height": 480, "content": "## Web Search\n### - finds top three AI news stories of the day via perplexity" }, "typeVersion": 1 }, { "id": "86c3ca5a-16de-4fe4-aea0-85d4ebd3b5ca", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 944, 160 ], "parameters": { "color": 7, "width": 928, "height": 864, "content": "## Data Synthesis & Report Generation\n### - daily email report created\n### - airtable data uploaded" }, "typeVersion": 1 }, { "id": "1d5e4b9d-6502-420a-a8ba-e4d8c9d35369", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ -848, -352 ], "parameters": { "color": 7, "width": 1632, "height": 1776, "content": "" }, "typeVersion": 1 }, { "id": "301b75f0-5df2-48ab-80e5-968290712e45", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ 928, 144 ], "parameters": { "color": 5, "width": 960, "height": 896, "content": "" }, "typeVersion": 1 }, { "id": "90a16173-1b0e-4a71-af74-28786a16e06e", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ -1696, 144 ], "parameters": { "width": 544, "height": 944, "content": "" }, "typeVersion": 1 }, { "id": "3024a943-9c93-4d78-9927-78b7438361ed", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ 960, 1120 ], "parameters": { "width": 912, "height": 512, "content": "@[youtube](m-7egcppFPk)" }, "typeVersion": 1 } ], "active": false, "settings": { "timezone": "America/Chicago", "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": "pwkZoyo9hwUnncAA", "executionOrder": "v1" }, "versionId": "753effff-50c1-4914-bef5-cc952db0997d", "connections": { "Ideas": { "main": [ [ { "node": "Create a record", "type": "main", "index": 0 } ] ] }, "Merge": { "main": [ [ { "node": "Aggregate3", "type": "main", "index": 0 } ] ] }, "Scrape X": { "main": [ [ { "node": "Aggregate1", "type": "main", "index": 0 } ] ] }, "Aggregate": { "main": [ [ { "node": "Edit Fields2", "type": "main", "index": 0 } ] ] }, "Split Out": { "main": [ [ { "node": "X Airtable", "type": "main", "index": 0 } ] ] }, "Aggregate1": { "main": [ [ { "node": "Twitter Analysis", "type": "main", "index": 0 } ] ] }, "Aggregate2": { "main": [ [ { "node": "Merge", "type": "main", "index": 0 } ] ] }, "Aggregate3": { "main": [ [ { "node": "Report Generator", "type": "main", "index": 0 }, { "node": "Content Brainstorm", "type": "main", "index": 0 } ] ] }, "Get Videos": { "main": [ [ { "node": "Get Video Data", "type": "main", "index": 0 } ] ] }, "Split Out1": { "main": [ [ { "node": "Perplexity Airtable", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Merge", "type": "main", "index": 2 } ] ] }, "Edit Fields1": { "main": [ [ { "node": "Merge", "type": "main", "index": 3 } ] ] }, "Edit Fields2": { "main": [ [ { "node": "Merge", "type": "main", "index": 1 } ] ] }, "n8n Trending": { "main": [ [ { "node": "Reddit Analysis", "type": "main", "index": 0 } ] ] }, "Daily at 8 AM": { "main": [ [ { "node": "n8n Trending", "type": "main", "index": 0 }, { "node": "Scrape X", "type": "main", "index": 0 }, { "node": "Get Videos", "type": "main", "index": 0 }, { "node": "Perplexity AI News", "type": "main", "index": 0 } ] ] }, "Format Message": { "main": [ [ { "node": "Split Out1", "type": "main", "index": 0 } ] ] }, "Get Video Data": { "main": [ [ { "node": "Filter Out Shorts", "type": "main", "index": 0 } ] ] }, "Get Transcripts": { "main": [ [ { "node": "Transcript Analysis", "type": "main", "index": 0 } ] ] }, "Reddit Analysis": { "main": [ [ { "node": "Aggregate", "type": "main", "index": 0 }, { "node": "Reddit Airtable", "type": "main", "index": 0 } ] ] }, "Report Generator": { "main": [ [ { "node": "Send a message", "type": "main", "index": 0 } ] ] }, "Twitter Analysis": { "main": [ [ { "node": "Split Out", "type": "main", "index": 0 }, { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "YouTube Airtable": { "main": [ [] ] }, "Filter Out Shorts": { "main": [ [ { "node": "Get Transcripts", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Reddit Analysis", "type": "ai_languageModel", "index": 0 } ] ] }, "Content Brainstorm": { "main": [ [ { "node": "Ideas", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model1": { "ai_languageModel": [ [ { "node": "Transcript Analysis", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model2": { "ai_languageModel": [ [ { "node": "Twitter Analysis", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model3": { "ai_languageModel": [ [ { "node": "Format Message", "type": "ai_languageModel", "index": 0 } ] ] }, "Perplexity AI News": { "main": [ [ { "node": "Format Message", "type": "main", "index": 0 }, { "node": "Edit Fields1", "type": "main", "index": 0 } ] ] }, "Transcript Analysis": { "main": [ [ { "node": "Aggregate2", "type": "main", "index": 0 }, { "node": "YouTube Airtable", "type": "main", "index": 0 } ] ] }, "OpenRouter Chat Model": { "ai_languageModel": [ [ { "node": "Report Generator", "type": "ai_languageModel", "index": 0 }, { "node": "Content Brainstorm", "type": "ai_languageModel", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Content Brainstorm", "type": "ai_outputParser", "index": 0 } ] ] }, "Structured Output Parser1": { "ai_outputParser": [ [ { "node": "Transcript Analysis", "type": "ai_outputParser", "index": 0 } ] ] }, "Structured Output Parser2": { "ai_outputParser": [ [ { "node": "Reddit Analysis", "type": "ai_outputParser", "index": 0 } ] ] }, "Structured Output Parser3": { "ai_outputParser": [ [ { "node": "Twitter Analysis", "type": "ai_outputParser", "index": 0 } ] ] }, "Structured Output Parser4": { "ai_outputParser": [ [ { "node": "Format Message", "type": "ai_outputParser", "index": 0 } ] ] } } }