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AI Article Analysis and Blog Summary

AI Article Analysis and Blog Summary. Uses googleSheetsTrigger, agent, lmChatOpenAi, googleSheets. Event-driven trigger; 6 nodes.

Event trigger★★☆☆☆ complexityAI-powered6 nodesGoogle Sheets TriggerAgentOpenAI ChatGoogle Sheets
AI & RAG Trigger: Event Nodes: 6 Complexity: ★★☆☆☆ AI nodes: yes Added:

This workflow follows the Agent → Google Sheets recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "name": "AI Article Analysis and Blog Summary",
  "nodes": [
    {
      "parameters": {
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "documentId": {
          "__rl": true,
          "value": "REPLACE_WITH_SPREADSHEET_ID",
          "mode": "list",
          "cachedResultName": "Configure resource after import",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/REPLACE_WITH_SPREADSHEET_ID/edit?usp=drivesdk"
        },
        "sheetName": {
          "__rl": true,
          "value": "gid=0",
          "mode": "list",
          "cachedResultName": "Links",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/REPLACE_WITH_SPREADSHEET_ID/edit#gid=0"
        },
        "includeInOutput": "both",
        "options": {}
      },
      "type": "n8n-nodes-base.googleSheetsTrigger",
      "typeVersion": 1,
      "position": [
        0,
        0
      ],
      "id": "58150a2b-440c-47be-8507-d09c93a747bb",
      "name": "Google Sheets Trigger"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json.Link }}",
        "options": {
          "systemMessage": "=Your task is to read and analyze the content of any article provided through a link(recieved from previous node) and transform it into a meaningful, insightful, and engaging blog-style summary that can be understood by readers of all ages, backgrounds, industries, and education levels.Core Objectives Explain the article in simple, clear language.Extract the most important insights and implications.Provide balanced analysis rather than merely restating facts.Help readers understand why the news matters.Focus on long-term impact, not just immediate events.Avoid technical jargon whenever possible.Make the content useful for business professionals, students, entrepreneurs, technology enthusiasts, and general readers alike.\nRequired Output Structure1. Headline\nCreate a compelling blog-style headline that captures the essence of the article.2. Executive Summary\nProvide a concise overview of what happened.\nLength: 2\u20134 paragraphs.\nAnswer:\nWhat happened?\nWho is involved?\nWhy is it important?\n3. Key Takeaways\nList 3\u20137 bullet points summarizing the most important insights.\n4. Understanding the Technology (If Applicable)\nExplain the technology, concept, product, or innovation discussed in the article in simple terms.\nAssume the reader has no prior technical knowledge.\nUse:\nAnalogies\nReal-world examples\nPlain language\nAvoid:\nUnexplained acronyms\nComplex engineering terminology\nAcademic explanations\n5. Pros and Advantages\nAnalyze the positive aspects.\nExamples:\nEfficiency improvements\nCost savings\nUser benefits\nInnovation potential\nBusiness opportunities\nSocial impact\nExplain why these advantages matter.\n6. Risks, Cons, and Challenges\nProvide a balanced assessment.\nExamples:\nTechnical limitations\nRegulatory concerns\nPrivacy risks\nSecurity issues\nAdoption barriers\nMarket uncertainty\nEthical considerations\nFocus on realistic concerns rather than sensationalism.\n7. Market Dynamics and Industry Impact\nAnalyze how the development may affect:\nBusinesses\nCompetitors\nConsumers\nInvestors\nStartups\nExisting industries\nConsider:\nCompetitive advantages\nIndustry disruption\nPricing pressures\nSupply chain effects\nEmerging opportunities\nExplain who stands to benefit and who may face challenges.\n8. Long-Term Perspective\nMove beyond the news cycle.\nDiscuss:\nWhat this could mean in 3\u20135 years.\nPossible future scenarios.\nIndustry trends this may accelerate.\nWhether this is a temporary development or part of a larger shift.\nFocus on strategic implications rather than predictions.\n9. What We Should Learn From This\nProvide practical lessons readers can apply.\nPossible areas:\nBusiness strategy\nInnovation\nTechnology adoption\nLeadership\nCareer development\nConsumer behavior\nMarket awareness\nMake the lessons actionable and thoughtful.\n10. Final Thought\nEnd with a short, memorable conclusion that captures the broader significance of the story.\nThe goal is not merely to summarize the article but to help readers understand why it matters.\nWriting Style GuidelinesTone\nUse:\nProfessional\nInsightful\nBalanced\nEducational\nConversational\nAvoid:\nClickbait\nFearmongering\nExcessive hype\nPolitical bias\nEmotional manipulation\nAudience\nWrite for:\nStudents\nProfessionals\nEntrepreneurs\nExecutives\nParents\nRetirees\nNon-technical readers\nAssume no specialized background knowledge.\nQuality Standards\nAlways:\nDistinguish facts from analysis.\nStay grounded in the article content.\nProvide context when necessary.\nExplain implications clearly.\nFocus on understanding, not repetition.\nNever:\nInvent facts.\nSpeculate without clearly labeling it as analysis.\nCopy large portions of the source article.\nUse overly technical language.\nPromote a particular company, product, or ideology.\nSuccess Criteria\nA successful summary should make readers say:\n\"I understand what happened.\"\n\"I understand why it matters.\"\n\"I understand the opportunities and risks.\"\n\"I understand what this means for the future.\"\n\"I learned something useful from it.\" {{ $json.Link }}                             \nalso write small prompt to create image of the article"
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "position": [
        576,
        64
      ],
      "id": "b5247c7e-d60f-4db1-a35c-1c42671413eb",
      "name": "AI Agent"
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "value": "gpt-4o-mini",
          "mode": "list",
          "cachedResultName": "gpt-4o-mini"
        },
        "builtInTools": {},
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.3,
      "position": [
        384,
        336
      ],
      "id": "aef1b267-a6a8-4716-ab4a-9ada988d8c1b",
      "name": "OpenAI Chat Model",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "REPLACE_WITH_SPREADSHEET_ID",
          "mode": "list",
          "cachedResultName": "Configure resource after import",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/REPLACE_WITH_SPREADSHEET_ID/edit?usp=drivesdk"
        },
        "sheetName": {
          "__rl": true,
          "value": 1210522656,
          "mode": "list",
          "cachedResultName": "Blogs",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/REPLACE_WITH_SPREADSHEET_ID/edit#gid=1210522656"
        },
        "columns": {
          "mappingMode": "autoMapInputData",
          "value": {},
          "matchingColumns": [
            "Blogs"
          ],
          "schema": [
            {
              "id": "Blogs",
              "displayName": "Blogs",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true,
              "removed": false
            }
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {}
      },
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4.7,
      "position": [
        864,
        128
      ],
      "id": "e2ed121b-c6f0-448f-9033-40345e2bcf41",
      "name": "Append row in sheet"
    },
    {
      "parameters": {
        "rule": {
          "interval": [
            {}
          ]
        }
      },
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.3,
      "position": [
        -64,
        224
      ],
      "id": "d74d025c-5845-40e9-a541-745acfa733df",
      "name": "Schedule Trigger"
    },
    {
      "parameters": {
        "documentId": {
          "__rl": true,
          "value": "REPLACE_WITH_SPREADSHEET_ID",
          "mode": "list",
          "cachedResultName": "Configure resource after import",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/REPLACE_WITH_SPREADSHEET_ID/edit?usp=drivesdk"
        },
        "sheetName": {
          "__rl": true,
          "value": "gid=0",
          "mode": "list",
          "cachedResultName": "Links",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/REPLACE_WITH_SPREADSHEET_ID/edit#gid=0"
        },
        "options": {}
      },
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4.7,
      "position": [
        208,
        192
      ],
      "id": "2a4d436b-dd8f-42f8-a0d1-2551cf3a5f45",
      "name": "Get row(s) in sheet"
    }
  ],
  "connections": {
    "Google Sheets Trigger": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Append row in sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "Get row(s) in sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get row(s) in sheet": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1",
    "binaryMode": "separate",
    "availableInMCP": false
  },
  "nodeGroups": [],
  "tags": []
}

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About this workflow

AI Article Analysis and Blog Summary. Uses googleSheetsTrigger, agent, lmChatOpenAi, googleSheets. Event-driven trigger; 6 nodes.

Source: https://github.com/hamisarqum/automation-projects/blob/main/03-ai-blog-summary-n8n/workflow.json — original creator credit. Request a take-down →

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