Generate 5-level AI Explanations for Different Audiences From Telegram to…

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{
  "name": "Generate 5-level AI explanations from Telegram to Google Docs",
  "tags": [],
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                    "rightValue": "graduate"
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                    "rightValue": "phd"
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                    "rightValue": "business"
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      "typeVersion": 3.4
    },
    {
      "id": "30be649e-efdb-4896-8366-98ee858eb3cd",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1488,
        1072
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {},
        "builtInTools": {}
      },
      "typeVersion": 1.3
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        "content": "## Input Layer\n\n**1. Telegram receives your question**\n**2. Extracts your chat ID and question**\n**3. Creates 5 copies (one per level)**\n\n\n\n\n\n"
      },
      "typeVersion": 1
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        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
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        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
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        "content": "## Telegram Output\n\n**Sends you 6 messages:**\n\n**1. Header (your question + date)**\n**2-6. Five explanations**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
      },
      "typeVersion": 1
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      "position": [
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      "parameters": {
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        "width": 480,
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        "content": "## Google Doc Output  (for reference)\n\n**Sends you the final output with 5 variations:**\n\n\n"
      },
      "typeVersion": 1
    },
    {
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      "parameters": {
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        "height": 1200,
        "content": "\n\n# \ud83d\ude80 Try It Out\n\nSend a message to your Telegram bot with any question (e.g., \"What is machine learning?\"). Within seconds, you'll receive 6 messages: a header plus 5 AI-generated explanations tailored for different audiences.\n\n\n# \ud83d\udcd6 Overview\n\nThe AI Knowledge Spectrum transforms complex topics into 5 comprehension levels: child-friendly stories (5-year-old), relatable teen explanations, college graduate depth, PhD-level analysis, and business-focused insights. Perfect for educators, content creators, and anyone making knowledge accessible.\n\n\n# \u2699\ufe0f How It Works\n\n1. Input: Telegram receives question \u2192 Extract chatId, query, timestamp\n2. Route: Create 5 items \u2192 Switch routes each to AI agent\n3. Process: 5 AI agents run in parallel (5YO, teen, grad, PhD, business)\n4. Handle: Error handlers ensure all responses complete\n5. Merge: Binary tree (4 merges) \u2192 Combines all 5 reliably\n6. Aggregate: Sort by level \u2192 Structure output\n7. Format: Create 6 messages (header + 5 levels) with HTML\n8. Send: Deliver to Telegram chat\n9. Archive: Append to Google Docs\n\n\n# \ud83d\udd27 Setup Requirements\n\n\n1. Add Telegram bot token\n2. Add OpenAI API key  \n3. Connect Google account\n4. Create Google doc\n5. Configure Workflow \n6. Activate & Test\n\n   \n\n\n# \u2753 Need Help?\n\nFor detailed notes and implementation, please leverage the README document at \nhttps://drive.google.com/file/d/19Fx-FoihL70qpOi4CnEwQ6Sud2dbUnE_/view?usp=sharing\n\nJoin the n8n community forum (https://community.n8n.io/) for support\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n**Creates 5 parallel paths.**"
      },
      "typeVersion": 1
    },
    {
      "id": "1f4811cd-1459-4b31-b79f-3b664d956a87",
      "name": "Receive User Question",
      "type": "n8n-nodes-base.telegramTrigger",
      "position": [
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        800
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      "parameters": {
        "updates": [
          "message"
        ],
        "additionalFields": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "81c6f41e-6a59-4710-8fb3-d2b6e71d62f2",
      "name": "Extract Query Data",
      "type": "n8n-nodes-base.set",
      "position": [
        1040,
        800
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "userQuery",
              "name": "userQuery",
              "type": "string",
              "value": "={{ $json.message.text }}"
            },
            {
              "id": "chatId",
              "name": "chatId",
              "type": "string",
              "value": "={{ $json.message.chat.id }}"
            },
            {
              "id": "timestamp",
              "name": "timestamp",
              "type": "string",
              "value": "={{ $now.toISO() }}"
            }
          ]
        }
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      "typeVersion": 3.3
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      "name": "Route to Appropriate Level",
      "type": "n8n-nodes-base.code",
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      "parameters": {
        "jsCode": "// Create 5 items for parallel processing\nconst input = $input.first().json;\nconst query = input.userQuery;\nconst chatId = input.chatId;\nconst timestamp = input.timestamp;\n\nconst levels = [\n  {\n    level: \"5-year-old\",\n    emoji: \"\ud83e\uddd2\",\n    title: \"Level 1: For a 5-Year-Old\",\n    systemPrompt: \"You are a creative educator explaining complex topics to 5-year-old children in fun, engaging ways.\\n\\nYOUR MISSION: Take ANY concept and make it magical for young minds!\\n\\nSTYLE GUIDELINES:\\n\u2022 Write a SHORT STORY (5-8 sentences)\\n\u2022 Use comparisons to toys, animals, games, or things kids love\\n\u2022 Add emojis throughout (\ud83c\udf88\ud83d\udc36\ud83d\ude80\ud83c\udfa8\ud83c\udf1f)\\n\u2022 Include sound effects (whoosh!, zoom!, beep boop!)\\n\u2022 Use VERY simple words (no big vocabulary)\\n\u2022 Make it exciting and fun - like storytime!\\n\u2022 Stay on topic - explain what they actually asked about\\n\\nIMPORTANT: Don't default to robots/AI unless specifically asked. If they ask about:\\n- Medicine \u2192 Use body/health analogies\\n- Nature \u2192 Use animals/plants analogies\\n- Technology \u2192 Use toys/games analogies\\n- Science \u2192 Use magic/wonder analogies\"\n  },\n  {\n    level: \"teenager\",\n    emoji: \"\ud83c\udfae\",\n    title: \"Level 2: For a Teenager\",\n    systemPrompt: \"You are explaining concepts to teenagers (ages 13-17) in a relatable, engaging way.\\n\\nYOUR MISSION: Make ANY topic relevant to teen life and interests!\\n\\nSTYLE GUIDELINES:\\n\u2022 Use modern, casual language (but not cringe)\\n\u2022 Compare to: video games, social media, streaming, sports, YouTube\\n\u2022 Reference current tech and trends teens know\\n\u2022 Use relevant emojis sparingly \ud83c\udfae\ud83d\udcf1\u26a1\\n\u2022 Keep it real - teens can handle complexity\\n\u2022 Make connections to their daily experiences\\n\u2022 Show why this topic matters to THEM\\n\\nIMPORTANT: Stay on the actual topic. If they ask about:\\n- Science \u2192 Connect to phones, games, or daily tech\\n- History \u2192 Connect to movies, shows, or current events\\n- Health \u2192 Connect to sports, fitness, or mental health\\n- Business \u2192 Connect to social media, creators, or money\"\n  },\n  {\n    level: \"graduate\",\n    emoji: \"\ud83c\udf93\",\n    title: \"Level 3: For a Graduate Student\",\n    systemPrompt: \"You are explaining concepts to college graduates with solid educational backgrounds.\\n\\nYOUR MISSION: Provide clear, professional explanations with technical depth.\\n\\nSTYLE GUIDELINES:\\n\u2022 Use proper terminology and academic language\\n\u2022 Include real-world applications and examples\\n\u2022 Reference relevant frameworks, theories, or principles\\n\u2022 Provide concrete data or evidence where applicable\\n\u2022 Balance technical accuracy with accessibility\\n\u2022 Assume strong general knowledge but not deep expertise\\n\u2022 Connect to practical implications\\n\\nCOVERAGE:\\n\u2022 Define key terms precisely\\n\u2022 Explain mechanisms or processes\\n\u2022 Discuss current applications\\n\u2022 Mention related concepts or fields\\n\u2022 Provide enough depth for understanding\"\n  },\n  {\n    level: \"phd\",\n    emoji: \"\ud83d\udd2c\",\n    title: \"Level 4: For a PhD Researcher\",\n    systemPrompt: \"You are explaining concepts to PhD-level researchers and domain experts.\\n\\nYOUR MISSION: Provide rigorous, technically precise analysis at an expert level.\\n\\nSTYLE GUIDELINES:\\n\u2022 Use precise technical terminology without simplification\\n\u2022 Reference current research, methodologies, and literature\\n\u2022 Discuss theoretical frameworks and foundations\\n\u2022 Explore edge cases, limitations, and open questions\\n\u2022 Include mathematical formulations where relevant\\n\u2022 Assume deep domain expertise\\n\u2022 Address controversies or competing theories\\n\\nCOVERAGE:\\n\u2022 Formal definitions and mathematical representations\\n\u2022 Current state of research and recent developments\\n\u2022 Methodological considerations\\n\u2022 Theoretical implications\\n\u2022 Research gaps and future directions\\n\u2022 Critical analysis of approaches\"\n  },\n  {\n    level: \"business\",\n    emoji: \"\ud83d\udcbc\",\n    title: \"Level 5: Real-World Business Use Case\",\n    systemPrompt: \"You are explaining concepts to business executives and senior leaders.\\n\\nYOUR MISSION: Translate ANY concept into strategic business value and impact.\\n\\nSTYLE GUIDELINES:\\n\u2022 Focus on practical business applications and ROI\\n\u2022 Use business terminology (metrics, KPIs, strategy)\\n\u2022 Include real-world case studies or examples\\n\u2022 Discuss implementation challenges and solutions\\n\u2022 Address risks, opportunities, and competitive advantage\\n\u2022 Be concise - executives value efficiency\\n\u2022 Connect to bottom-line impact\\n\\nCOVERAGE:\\n\u2022 Business applications and use cases\\n\u2022 Market implications and trends\\n\u2022 Implementation considerations (cost, timeline, resources)\\n\u2022 ROI and value proposition\\n\u2022 Strategic advantages or risks\\n\u2022 Competitive landscape\\n\u2022 Decision-making framework\"\n  }\n];\n\n// Create 5 items with the query\nreturn levels.map(level => ({\n  json: {\n    level: level.level,\n    emoji: level.emoji,\n    title: level.title,\n    systemPrompt: level.systemPrompt,\n    query: query,\n    chatId: chatId,\n    timestamp: timestamp\n  }\n}));"
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      "name": "5-Year-Old Story Mode",
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      "parameters": {
        "text": "=You are explaining ANY topic to a 5-year-old child using simple stories and fun examples.\n\nRULES:\n- Use a SHORT STORY (5-8 sentences)\n- Compare to: toys, animals, food, or things kids see every day\n- Use simple words a 5-year-old knows\n- Add emojis (\ud83c\udf88\ud83d\udc36\ud83d\ude80\ud83c\udfa8)\n- Make it fun and exciting!\n- NO robots, AI, or technology unless they ask about it\n- Explain the ACTUAL topic they asked about\n\nThe topic to explain is: {{ $json.query }}\n\nTell a fun story that explains this topic!",
        "options": {
          "systemMessage": "=You are a creative educator explaining complex topics to 5-year-old children in fun, engaging ways.\n\nYOUR MISSION: Take ANY concept and make it magical for young minds!\n\nSTYLE GUIDELINES:\n\u2022 Write a SHORT STORY (5-8 sentences)\n\u2022 Use comparisons to toys, animals, games, or things kids love\n\u2022 Add emojis throughout (\ud83c\udf88\ud83d\udc36\ud83d\ude80\ud83c\udfa8\ud83c\udf1f)\n\u2022 Include sound effects (whoosh!, zoom!, beep boop!)\n\u2022 Use VERY simple words (no big vocabulary)\n\u2022 Make it exciting and fun - like storytime!\n\u2022 Stay on topic - explain what they actually asked about\n\nIMPORTANT: Don't default to robots/AI unless specifically asked. If they ask about:\n- Medicine \u2192 Use body/health analogies\n- Nature \u2192 Use animals/plants analogies  \n- Technology \u2192 Use toys/games analogies\n- Science \u2192 Use magic/wonder analogies\n\nFORMATTING:\n- Use plain text (no ** or ### or markdown)\n- Use line breaks for paragraphs\n- Use emojis for visual interest\n\nQuestion to explain: {{ $json.query }}\n\nCreate a memorable, kid-friendly explanation! \u2728\n"
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      "executeOnce": false,
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    {
      "id": "4b51c586-9893-48fe-98da-62ec9acbfcc9",
      "name": "Teenager Level",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1696,
        512
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      "parameters": {
        "text": "={{ $json.query }}",
        "options": {
          "systemMessage": "=You are explaining concepts to teenagers (ages 13-17) in a relatable, engaging way.\n\nYOUR MISSION: Make ANY topic relevant to teen life and interests!\n\nSTYLE GUIDELINES:\n\u2022 Use modern, casual language (but not cringe)\n\u2022 Compare to: video games, social media, streaming, sports, YouTube\n\u2022 Reference current tech and trends teens know\n\u2022 Use relevant emojis sparingly \ud83c\udfae\ud83d\udcf1\u26a1\n\u2022 Keep it real - teens can handle complexity\n\u2022 Make connections to their daily experiences\n\u2022 Show why this topic matters to THEM\n\nIMPORTANT: Stay on the actual topic. If they ask about:\n- Science \u2192 Connect to phones, games, or daily tech\n- History \u2192 Connect to movies, shows, or current events\n- Health \u2192 Connect to sports, fitness, or mental health\n- Business \u2192 Connect to social media, creators, or money\n\nFORMATTING:\n- Use plain text (no markdown)\n- Use line breaks for clarity\n- Use emojis sparingly \ud83c\udfae\ud83d\udcf1\n\nQuestion to explain: {{ $json.query }}\n\nBe authentic and relatable - avoid being \"teachy\"!\n"
        },
        "promptType": "define"
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      "executeOnce": false,
      "typeVersion": 1.7
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    {
      "id": "c5a6b36c-0bae-4d17-adfc-f11953f62945",
      "name": "Graduate Level",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1696,
        720
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      "parameters": {
        "text": "={{ $json.query }}",
        "options": {
          "systemMessage": "=You are explaining concepts to college graduates with solid educational backgrounds.\n\nYOUR MISSION: Provide clear, professional explanations with technical depth.\n\nSTYLE GUIDELINES:\n\u2022 Use proper terminology and academic language\n\u2022 Include real-world applications and examples\n\u2022 Reference relevant frameworks, theories, or principles\n\u2022 Provide concrete data or evidence where applicable\n\u2022 Balance technical accuracy with accessibility\n\u2022 Assume strong general knowledge but not deep expertise\n\u2022 Connect to practical implications\n\nCOVERAGE:\n\u2022 Define key terms precisely\n\u2022 Explain mechanisms or processes\n\u2022 Discuss current applications\n\u2022 Mention related concepts or fields\n\u2022 Provide enough depth for understanding\n\nFORMATTING:\n- Use plain text (no markdown)\n- Use line breaks for sections\n- Be professional and clear\n\nQuestion to explain: {{ $json.query }}\n\nBe informative, accurate, and professionally thorough.\n"
        },
        "promptType": "define"
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      "executeOnce": false,
      "typeVersion": 1.7
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    {
      "id": "e6ad337a-3862-4f4d-b245-5bdf2924c484",
      "name": "PhD Research Level",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1712,
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      "parameters": {
        "text": "={{ $json.query }}",
        "options": {
          "systemMessage": "=You are explaining concepts to PhD-level researchers and domain experts.\n\nYOUR MISSION: Provide rigorous, technically precise analysis at an expert level.\n\nSTYLE GUIDELINES:\n\u2022 Use precise technical terminology without simplification\n\u2022 Reference current research, methodologies, and literature\n\u2022 Discuss theoretical frameworks and foundations\n\u2022 Explore edge cases, limitations, and open questions\n\u2022 Include mathematical formulations where relevant\n\u2022 Assume deep domain expertise\n\u2022 Address controversies or competing theories\n\nCOVERAGE:\n\u2022 Formal definitions and mathematical representations\n\u2022 Current state of research and recent developments\n\u2022 Methodological considerations\n\u2022 Theoretical implications\n\u2022 Research gaps and future directions\n\u2022 Critical analysis of approaches\n\nFORMATTING:\n- Use plain text (no markdown)\n- Use line breaks for structure\n- Be rigorous and detailed\n\nQuestion to explain: {{ $json.query }}\n\nProvide expert-level academic rigor and depth.\n"
        },
        "promptType": "define"
      },
      "executeOnce": false,
      "typeVersion": 1.7
    },
    {
      "id": "99d9b095-cc42-460c-9be5-5056ce21c999",
      "name": "Business Executive Level",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1728,
        1136
      ],
      "parameters": {
        "text": "={{ $('Extract Query Data').item.json.userQuery }}",
        "options": {
          "systemMessage": "=You are explaining concepts to business executives and senior leaders.\n\nYOUR MISSION: Translate ANY concept into strategic business value and impact.\n\nSTYLE GUIDELINES:\n\u2022 Focus on practical business applications and ROI\n\u2022 Use business terminology (metrics, KPIs, strategy)\n\u2022 Include real-world case studies or examples\n\u2022 Discuss implementation challenges and solutions\n\u2022 Address risks, opportunities, and competitive advantage\n\u2022 Be concise - executives value efficiency\n\u2022 Connect to bottom-line impact\n\nCOVERAGE:\n\u2022 Business applications and use cases\n\u2022 Market implications and trends\n\u2022 Implementation considerations (cost, timeline, resources)\n\u2022 ROI and value proposition\n\u2022 Strategic advantages or risks\n\u2022 Competitive landscape\n\u2022 Decision-making framework\n\nFORMATTING:\n- Use plain text (no markdown)\n- Use line breaks for key points\n- Be concise and actionable\n\nQuestion to explain: {{ $json.query }}\n\nBe strategic, actionable, and focused on business outcomes."
        },
        "promptType": "define"
      },
      "executeOnce": false,
      "typeVersion": 1.7
    },
    {
      "id": "cb4d5199-4769-40fd-a7c7-55a39e7f8c4b",
      "name": "5-Year-Old",
      "type": "n8n-nodes-base.code",
      "position": [
        2048,
        336
      ],
      "parameters": {
        "jsCode": "// Error Handler - Simple Content Extraction\nconst responseItem = $input.first().json;\n\n// Get original data\nconst originalItem = $(\"Route to Appropriate Level\").all().find(item => \n  item.json.level === \"5-year-old\"\n);\n\nconst chatId = originalItem?.json.chatId || \"unknown\";\nconst query = originalItem?.json.query || \"unknown\";\nconst timestamp = originalItem?.json.timestamp || new Date().toISOString();\n\n// Extract content\nconst content = responseItem.output || \n                responseItem.text || \n                responseItem.message?.content || \n                \"No response generated\";\n\nconsole.log('5-year-old - Content extracted, length:', content.length);\n\nreturn [{\n  json: {\n    level: \"5-year-old\",\n    emoji: \"\ud83e\uddd2\",\n    title: \"For a 5 Year Old\",\n    content: content,\n    chatId: chatId,\n    query: query,\n    timestamp: timestamp\n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "e9684534-4078-4033-b7b6-1acd12a88b70",
      "name": "Teenager",
      "type": "n8n-nodes-base.code",
      "position": [
        2048,
        544
      ],
      "parameters": {
        "jsCode": "// Error Handler - Simple Content Extraction\nconst responseItem = $input.first().json;\n\n// Get original data\nconst originalItem = $(\"Route to Appropriate Level\").all().find(item => \n  item.json.level === \"teenager\"\n);\n\nconst chatId = originalItem?.json.chatId || \"unknown\";\nconst query = originalItem?.json.query || \"unknown\";\nconst timestamp = originalItem?.json.timestamp || new Date().toISOString();\n\n// Extract content\nconst content = responseItem.output || \n                responseItem.text || \n                responseItem.message?.content || \n                \"No response generated\";\n\nconsole.log('teenager - Content extracted, length:', content.length);\n\nreturn [{\n  json: {\n    level: \"teenager\",\n    emoji: \"\ud83c\udfae\",\n    title: \"For a Teenager\",\n    content: content,\n    chatId: chatId,\n    query: query,\n    timestamp: timestamp\n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "e2ba26a1-859e-4bbc-9dd6-40afa71b9d9b",
      "name": "Graduate",
      "type": "n8n-nodes-base.code",
      "position": [
        2048,
        752
      ],
      "parameters": {
        "jsCode": "// Error Handler - Simple Content Extraction\nconst responseItem = $input.first().json;\n\n// Get original data\nconst originalItem = $(\"Route to Appropriate Level\").all().find(item => \n  item.json.level === \"graduate\"\n);\n\nconst chatId = originalItem?.json.chatId || \"unknown\";\nconst query = originalItem?.json.query || \"unknown\";\nconst timestamp = originalItem?.json.timestamp || new Date().toISOString();\n\n// Extract content\nconst content = responseItem.output || \n                responseItem.text || \n                responseItem.message?.content || \n                \"No response generated\";\n\nconsole.log('graduate - Content extracted, length:', content.length);\n\nreturn [{\n  json: {\n    level: \"graduate\",\n    emoji: \"\ud83c\udf93\",\n    title: \"For a Graduate\",\n    content: content,\n    chatId: chatId,\n    query: query,\n    timestamp: timestamp\n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "a28b4b39-88fb-4b3b-8211-5dd9c8a8b9de",
      "name": "PhD",
      "type": "n8n-nodes-base.code",
      "position": [
        2048,
        960
      ],
      "parameters": {
        "jsCode": "// Error Handler - Simple Content Extraction\nconst responseItem = $input.first().json;\n\n// Get original data\nconst originalItem = $(\"Route to Appropriate Level\").all().find(item => \n  item.json.level === \"phd\"\n);\n\nconst chatId = originalItem?.json.chatId || \"unknown\";\nconst query = originalItem?.json.query || \"unknown\";\nconst timestamp = originalItem?.json.timestamp || new Date().toISOString();\n\n// Extract content\nconst content = responseItem.output || \n                responseItem.text || \n                responseItem.message?.content || \n                \"No response generated\";\n\nconsole.log('phd - Content extracted, length:', content.length);\n\nreturn [{\n  json: {\n    level: \"phd\",\n    emoji: \"\ud83d\udd2c\",\n    title: \"For a Ph.D Holder\",\n    content: content,\n    chatId: chatId,\n    query: query,\n    timestamp: timestamp\n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "ac1ec456-e305-4995-beb0-1ad49a82bd35",
      "name": "Business",
      "type": "n8n-nodes-base.code",
      "position": [
        2048,
        1168
      ],
      "parameters": {
        "jsCode": "// Error Handler - Simple Content Extraction\nconst responseItem = $input.first().json;\n\n// Get original data\nconst originalItem = $(\"Route to Appropriate Level\").all().find(item => \n  item.json.level === \"business\"\n);\n\nconst chatId = originalItem?.json.chatId || \"unknown\";\nconst query = originalItem?.json.query || \"unknown\";\nconst timestamp = originalItem?.json.timestamp || new Date().toISOString();\n\n// Extract content\nconst content = responseItem.output || \n                responseItem.text || \n                responseItem.message?.content || \n                \"No response generated\";\n\nconsole.log('business - Content extracted, length:', content.length);\n\nreturn [{\n  json: {\n    level: \"business\",\n    emoji: \"\ud83d\udcbc\",\n    title: \"Real-time Business Case\",\n    content: content,\n    chatId: chatId,\n    query: query,\n    timestamp: timestamp\n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "98fcd21e-8228-4719-9bbc-bc9738d5a74e",
      "name": "Child + Teen",
      "type": "n8n-nodes-base.merge",
      "position": [
        2368,
        528
      ],
      "parameters": {},
      "typeVersion": 2.1
    },
    {
      "id": "0a8663b5-2df4-49c8-baee-a43320389ccf",
      "name": "Grad + PhD",
      "type": "n8n-nodes-base.merge",
      "position": [
        2368,
        880
      ],
      "parameters": {},
      "typeVersion": 2.1
    },
    {
      "id": "eba46176-6eb4-4a75-9e59-30504e6bf636",
      "name": "First 4 Levels",
      "type": "n8n-nodes-base.merge",
      "position": [
        2624,
        704
      ],
      "parameters": {},
      "typeVersion": 2.1
    },
    {
      "id": "b0430533-079a-49f8-9fed-43c193cad0c4",
      "name": "All 5 Levels",
      "type": "n8n-nodes-base.merge",
      "position": [
        2784,
        896
      ],
      "parameters": {},
      "typeVersion": 2.1
    },
    {
      "id": "7e1d783b-27b3-4a5f-a62c-01f32f5bcdc0",
      "name": "Aggregate & Structure All Responses",
      "type": "n8n-nodes-base.code",
      "position": [
        3008,
        896
      ],
      "parameters": {
        "jsCode": "// Aggregate - Simple Version (No Token Tracking)\nconst items = $input.all();\n\nconsole.log('=== AGGREGATE ===');\nconsole.log('Total items received:', items.length);\n\nconst allItems = items.filter(item => item.json).map(item => item.json);\n\nif (allItems.length !== 5) {\n  throw new Error(`Expected 5 items, got ${allItems.length}`);\n}\n\n// Sort in correct order\nconst order = [\"5-year-old\", \"teenager\", \"graduate\", \"phd\", \"business\"];\nconst sortedItems = allItems.sort((a, b) => \n  order.indexOf(a.level) - order.indexOf(b.level)\n);\n\nconsole.log('Sorted items:', sortedItems.map(i => i.level));\n\nreturn [{\n  json: {\n    responses: sortedItems,\n    chatId: sortedItems[0].chatId,\n    query: sortedItems[0].query,\n    timestamp: sortedItems[0].timestamp\n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "37e5c3c8-442a-4e05-96f8-99c48f0b37e0",
      "name": "Format 6 Messages for Telegram",
      "type": "n8n-nodes-base.code",
      "position": [
        3248,
        656
      ],
      "parameters": {
        "jsCode": "// Format for Telegram - NO TRUNCATION (Let Telegram handle it)\nconst input = $input.first().json;\n\nconst responses = input.responses;\nconst query = input.query;\nconst chatId = input.chatId;\nconst timestamp = input.timestamp;\n\n// Telegram's ACTUAL limit is 4096, but we'll be safer\nconst MAX_MESSAGE_LENGTH = 4000;\n\n// Clean markdown for Telegram HTML\nfunction cleanMarkdown(text) {\n  if (!text) return '';\n  \n  // Remove markdown formatting that Telegram HTML doesn't support\n  text = text.replace(/\\*\\*\\*(.+?)\\*\\*\\*/g, '<b>$1</b>'); // ***bold italic*** \u2192 bold\n  text = text.replace(/\\*\\*(.+?)\\*\\*/g, '<b>$1</b>');     // **bold** \u2192 <b>bold</b>\n  text = text.replace(/\\*(.+?)\\*/g, '<i>$1</i>');         // *italic* \u2192 <i>italic</i>\n  text = text.replace(/###\\s+(.+?)$/gm, '<b>$1</b>');     // ### Header \u2192 <b>Header</b>\n  text = text.replace(/##\\s+(.+?)$/gm, '<b>$1</b>');      // ## Header \u2192 <b>Header</b>\n  text = text.replace(/#\\s+(.+?)$/gm, '<b>$1</b>');       // # Header \u2192 <b>Header</b>\n  text = text.replace(/\\n-\\s+/g, '\\n\u2022 ');                 // - item \u2192 \u2022 item\n  \n  return text;\n}\n\n// Escape HTML special characters\nfunction escapeHtml(text) {\n  if (!text) return '';\n  return text.toString()\n    .replace(/&/g, '&amp;')\n    .replace(/</g, '&lt;')\n    .replace(/>/g, '&gt;');\n}\n\n// Smart truncate - cut at last complete sentence\nfunction smartTruncate(text, maxLength) {\n  if (!text || text.length <= maxLength) return text;\n  \n  // Try to cut at last period before limit\n  const cutPoint = text.lastIndexOf('.', maxLength);\n  if (cutPoint > maxLength - 200) { // Only if reasonably close\n    return text.substring(0, cutPoint + 1) + '\\n\\n(Message truncated due to length)';\n  }\n  \n  // Otherwise cut at last space\n  const spacePoint = text.lastIndexOf(' ', maxLength);\n  return text.substring(0, spacePoint) + '...\\n\\n(Truncated)';\n}\n\nconst escapedQuery = escapeHtml(query);\n\n// Create header message\nconst headerText = `\ud83d\udcca <b>Knowledge Ladder Results</b>\\n\\n` +\n  `\u2753 <b>Question:</b> ${escapedQuery}\\n` +\n  `\ud83d\udcc5 <b>Date:</b> ${new Date(timestamp).toLocaleString()}\\n\\n` +\n  `\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\\n` +\n  `Sending 5 responses...`;\n\nconst outputs = [];\n\n// Header\noutputs.push({\n  json: {\n    chatId: chatId,\n    text: headerText,\n    messageNumber: 1\n  }\n});\n\n// 5 Responses with markdown cleaning\nresponses.forEach((r, index) => {\n  const title = r.title || 'Unknown';\n  const emoji = r.emoji || '\u2753';\n  let content = r.content || 'No content';\n  \n  // Clean markdown FIRST\n  content = cleanMarkdown(content);\n  \n  // Then smart truncate if needed\n  const availableLength = MAX_MESSAGE_LENGTH - (title.length + emoji.length + 20);\n  content = smartTruncate(content, availableLength);\n  \n  // Escape HTML (AFTER markdown cleaning)\n  const escapedContent = escapeHtml(content);\n  const escapedTitle = escapeHtml(title);\n  \n  const messageText = `${emoji} <b>${escapedTitle}</b>\\n\\n${escapedContent}`;\n  \n  console.log(`Message ${index + 2}: ${messageText.length} chars`);\n  \n  outputs.push({\n    json: {\n      chatId: chatId,\n      text: messageText,\n      messageNumber: index + 2\n    }\n  });\n});\n\nconsole.log(`\u2705 Created ${outputs.length} messages`);\n\nreturn outputs;"
      },
      "typeVersion": 2
    },
    {
      "id": "2350c71f-bebe-46fc-bd94-17273e8687d5",
      "name": "Send to User via Telegram",
      "type": "n8n-nodes-base.telegram",
      "position": [
        3472,
        656
      ],
      "parameters": {
        "text": "={{ $json.text }}",
        "chatId": "={{ $json.chatId }}",
        "additionalFields": {
          "parse_mode": "HTML",
          "appendAttribution": false
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "9dd4ca28-da2a-4949-a4bf-79a5cc64925d",
      "name": "Format Plain Text for Docs",
      "type": "n8n-nodes-base.code",
      "position": [
        3280,
        1088
      ],
      "parameters": {
        "jsCode": "// Format for Google Docs - Clean Text Format\nconst input = $input.first().json;\n\nconst responses = input.responses;\nconst query = input.query;\nconst timestamp = input.timestamp;\n\n// Create clean formatted text for Google Docs\nconst dateStr = new Date(timestamp).toLocaleString();\n\nlet docsContent = `\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\\n`;\ndocsContent += `\ud83d\udcca AI KNOWLEDGE LADDER RESULTS\\n`;\ndocsContent += `\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\\n\\n`;\ndocsContent += `\u2753 Question: ${query}\\n`;\ndocsContent += `\ud83d\udcc5 Date: ${dateStr}\\n\\n`;\ndocsContent += `\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\\n\\n`;\n\n// Add each response with clean formatting\nresponses.forEach((r, index) => {\n  const emoji = r.emoji || '\u2753';\n  const title = r.title || 'Unknown';\n  const content = r.content || 'No content';\n  \n  docsContent += `${emoji} ${title.toUpperCase()}\\n`;\n  docsContent += `${'\u2500'.repeat(50)}\\n\\n`;\n  docsContent += `${content}\\n\\n`;\n  \n  if (index < responses.length - 1) {\n    docsContent += `\\n`;\n  }\n});\n\ndocsContent += `\\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\\n`;\ndocsContent += `End of Response\\n`;\ndocsContent += `\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\\n\\n\\n`;\n\nreturn [{\n  json: {\n    docsContent: docsContent\n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "848cb28d-000a-4608-96b6-2e3bf759c542",
      "name": "Archive to Google Docs",
      "type": "n8n-nodes-base.googleDocs",
      "position": [
        3488,
        1088
      ],
      "parameters": {
        "actionsUi": {
          "actionFields": [
            {
              "text": "={{ $json.docsContent }}",
              "action": "insert"
            }
          ]
        },
        "operation": "update",
        "documentURL": "REPLACE_WITH_YOUR_GOOGLE_DOC_URL"
      },
      "typeVersion": 2
    },
    {
      "id": "9a7c6a52-c6d8-4b6f-a9d4-37cf6fc87fd6",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1376,
        544
      ],
      "parameters": {
        "color": 7,
        "width": 208,
        "height": 464,
        "content": "## Routing\n\n**Routes items to AI agents by understanding level.**\n\n\n\n\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "bfff2891-8123-44d8-8d02-6abf13aafc60",
      "name": "Sticky Note8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1616,
        496
      ],
      "parameters": {
        "color": 5,
        "width": 640,
        "height": 192,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "0c3d251b-6ce6-4ca1-971f-78f52c0da336",
      "name": "Sticky Note9",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1616,
        704
      ],
      "parameters": {
        "color": 5,
        "width": 640,
        "height": 192,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "669325bd-3ba2-4ee4-a705-c3e8606c03d5",
      "name": "Sticky Note10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1616,
        912
      ],
      "parameters": {
        "color": 5,
        "width": 640,
        "height": 176,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "63e13142-b299-40f4-a376-30caf8e87c1a",
      "name": "Sticky Note11",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1616,
        1120
      ],
      "parameters": {
        "color": 5,
        "width": 640,
        "height": 192,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "026ccc65-e7b0-4ade-9659-f03a2084ccd2",
      "name": "Sticky Note12",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2288,
        816
      ],
      "parameters": {
        "color": 7,
        "height": 256,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "74b4fc56-645b-4f84-b93b-91a23b7f48f7",
      "name": "Sticky Note13",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2560,
        640
      ],
      "parameters": {
        "color": 7,
        "width": 208,
        "height": 240,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "c9e44c4d-244a-4f98-9de9-8ce61eb5a7b7",
      "name": "Sticky Note14",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2768,
        864
      ],
      "parameters": {
        "color": 7,
        "width": 160,
        "height": 224,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "60da89e6-5be0-4ab5-8169-5512ba5e12c2",
      "name": "Sticky Note15",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2960,
        544
      ],
      "parameters": {
        "color": 5,
        "width": 224,
        "height": 560,
        "content": "## Collection of responses  & Formatting\n\n\n**Combines all five responses into a single result**\n\n**Organizes the data & formats it for final output**"
      },
      "typeVersion": 1
    },
    {
      "id": "e9e1eb15-6f76-4d6c-a958-84a4c4a04fff",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2272,
        272
      ],
      "parameters": {
        "color": 7,
        "width": 672,
        "height": 1040,
        "content": "\n## Merge Strategy\n\n**Combines responses 2 at a time:**\n**1+2 \u2192 3+4 \u2192 Combine \u2192 Add 5th**\n\n**Why not merge all 5 at once?**\n**More reliable. Never loses responses.**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "9c03b5a4-7abc-4fce-969b-2994fff4d1fd",
      "name": "Sticky Note16",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1728,
        176
      ],
      "parameters": {
        "color": 5,
        "width": 368,
        "height": 80,
        "content": "\n## AI Processing & Error Handling"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "settings": {
    "availableInMCP": false,
    "executionOrder": "v1"
  },
  "connections": {
    "PhD": {
      "main": [
        [
          {
            "node": "Grad + PhD",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "Switch": {
      "main": [
        [
          {
            "node": "5-Year-Old Story Mode",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Teenager Level",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Graduate Level",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "PhD Research Level",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Business Executive Level",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Business": {
      "main": [
        [
          {
            "node": "All 5 Levels",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "Graduate": {
      "main": [
        [
          {
            "node": "Grad + PhD",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Teenager": {
      "main": [
        [
          {
            "node": "Child + Teen",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "5-Year-Old": {
      "main": [
        [
          {
            "node": "Child + Teen",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Grad + PhD": {
      "main": [
        [
          {
            "node": "First 4 Levels",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "All 5 Levels": {
      "main": [
        [
          {
            "node": "Aggregate & Structure All Responses",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Child + Teen": {
      "main": [
        [
          {
            "node": "First 4 Levels",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "First 4 Levels": {
      "main": [
        [
          {
            "node": "All 5 Levels",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Graduate Level": {
      "main": [
        [
          {
            "node": "Graduate",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Teenager Level": {
      "main": [
        [
          {
            "node": "Teenager",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "5-Year-Old Story Mode",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "Teenager Level",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "Graduate Level",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "PhD Research Level",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "Business Executive Level",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Extract Query Data": {
      "main": [
        [
          {
            "node": "Route to Appropriate Level",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "PhD Research Level": {
      "main": [
        [
          {
            "node": "PhD",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "5-Year-Old Story Mode": {
      "main": [
        [
          {
            "node": "5-Year-Old",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Receive User Question": {
      "main": [
        [
          {
            "node": "Extract Query Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Business Executive Level": {
      "main": [
        [
          {
            "node": "Business",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Format Plain Text for Docs": {
      "main": [
        [
          {
            "node": "Archive to Google Docs",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Route to Appropriate Level": {
      "main": [
        [
          {
            "node": "Switch",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Format 6 Messages for Telegram": {
      "main": [
        [
          {
            "node": "Send to User via Telegram",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Aggregate & Structure All Responses": {
      "main": [
        [
          {
            "node": "Format 6 Messages for Telegram",
            "type": "main",
            "index": 0
          },
          {
            "node": "Format Plain Text for Docs",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

About this workflow

Ask any question and get five different answers instantly. Each answer is written for a different audience—from kids to business executives. Your Telegram bot delivers all five explanations in under 10 seconds and saves them to Google Docs automatically. Perfect for teachers,…

Source: https://n8n.io/workflows/12299/ — original creator credit. Request a take-down →

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