{
  "meta": {
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:48.030463",
    "updatedAt": "2025-09-29T07:07:48.030497",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "nodes": [
    {
      "id": "02628817-d072-4caa-b935-945d09f57a85",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        0,
        0
      ],
      "parameters": {},
      "typeVersion": 1,
      "notes": "This manualTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "7361f9a8-d834-49d3-b0c1-bb4510f654cc",
      "name": "Gmail",
      "type": "n8n-nodes-base.gmail",
      "position": [
        220,
        0
      ],
      "webhookId": "326419f6-008b-4814-b55d-efaae118eab7",
      "parameters": {
        "limit": 1,
        "simple": false,
        "filters": {
          "sender": "decodeai@ghost.io"
        },
        "options": {},
        "operation": "getAll"
      },
      "typeVersion": 2.1,
      "notes": "This gmail node performs automated tasks as part of the workflow."
    },
    {
      "id": "39e63d5f-db0d-4fc6-a5e8-a9ac3c2a703c",
      "name": "Split Out",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        816,
        0
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "message.content.news_items"
      },
      "typeVersion": 1,
      "notes": "This splitOut node performs automated tasks as part of the workflow."
    },
    {
      "id": "70e64a00-8dc0-4ef4-a4fd-3ac2e50c8fb3",
      "name": "Extract News Items",
      "type": "n8n-nodes-base.noOp",
      "position": [
        440,
        0
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "o3-mini-2025-01-31",
          "cachedResultName": "O3-MINI-2025-01-31"
        },
        "options": {},
        "messages": {
          "values": [
            {
              "content": "=Given the following newsletter content, identify and summarize the 5 main news items. Focus on factual updates like new AI tools, product launches, or strategic investments. For each item, extract a headline and provide a concise summary. Please ignore purely promotional sections (e.g., calls to book demos or product advertisements).\n\n<text>\n{{ $json.text }}\n</text>"
            }
          ]
        },
        "jsonOutput": true
      },
      "typeVersion": 1.8,
      "notes": "This openAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "cecf013b-bcf2-49a3-acc2-b81e355446b6",
      "name": "Create LinkedIn Posts",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1040,
        0
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "o3-mini-2025-01-31",
          "cachedResultName": "O3-MINI-2025-01-31"
        },
        "options": {},
        "messages": {
          "values": [
            {
              "content": "=Using the news item details below:\n\nHeadline: {{ $json.headline }}\nSummary: {{ $json.summary }}\n\nCraft a concise, non-promotional LinkedIn post in a smart, deadpan style with subtle humor. Focus on clearly conveying the main points and insights so readers gain practical value. \n- Break up the text into short paragraphs or bullet points for clarity.\n- Use line breaks where helpful.\n- End with an observation or question that encourages reflection—without being overly salesy or flashy.\n- Keep it under 80 words total.\n\n"
            }
          ]
        }
      },
      "typeVersion": 1.8,
      "notes": "This openAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "31412fb3-ef9a-4c98-840b-a97fd7075181",
      "name": "LinkedIn",
      "type": "n8n-nodes-base.linkedIn",
      "position": [
        1420,
        0
      ],
      "parameters": {
        "text": "={{ $json.message.content }}",
        "person": "EI5XKdiMv1",
        "additionalFields": {}
      },
      "typeVersion": 1,
      "notes": "This linkedIn node performs automated tasks as part of the workflow."
    },
    {
      "id": "a80f43a1-35c8-4f41-8d96-6e64e4ae0cf7",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -20,
        -620
      ],
      "parameters": {
        "width": 900,
        "height": 520,
        "content": "# Workflow Overview\n\n**Name:** Transform Gmail Newsletters into Insightful LinkedIn Posts Using OpenAI\n\n**Purpose:**  \n- **Filter Newsletters:** Use the Gmail node to process emails from a specific sender (e.g., `newsletter@example.com`).  \n- **Extract Key Items:** Leverage an OpenAI node to identify and summarize the top news items from each newsletter.  \n- **Generate Posts:** Automatically create concise, informative, and subtly humorous LinkedIn posts for each news item.  \n- **Publish:** Post the refined content to your LinkedIn account with the LinkedIn node.\n\n**Setup Steps:**  \n1. **Gmail Node:** Configure and rename to \"Filter Gmail Newsletter\" with the appropriate sender filter.  \n2. **OpenAI Nodes:** Ensure API credentials are set; customize prompt texts if desired.  \n3. **LinkedIn Node:** Rename to \"Post to LinkedIn\" and verify correct OAuth2 credentials.\n\n**Customization Tips:**  \n- Modify the OpenAI prompts to fine-tune the tone and structure of the LinkedIn posts.  \n- Add additional formatting (e.g., Function nodes) for post readability if needed.\n\n*This workflow turns your regular newsletters into engaging, ready-to-share LinkedIn insights in just a few simple steps!*\n"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "error-b00b2f76",
      "name": "Error Handler",
      "type": "n8n-nodes-base.stopAndError",
      "typeVersion": 1,
      "position": [
        1000,
        400
      ],
      "parameters": {
        "message": "Workflow execution error",
        "options": {}
      }
    }
  ],
  "pinData": {},
  "connections": {
    "70e64a00-8dc0-4ef4-a4fd-3ac2e50c8fb3": {
      "main": [
        [
          {
            "node": "error-handler-70e64a00-8dc0-4ef4-a4fd-3ac2e50c8fb3-bf0b95f4",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "cecf013b-bcf2-49a3-acc2-b81e355446b6": {
      "main": [
        [
          {
            "node": "error-handler-cecf013b-bcf2-49a3-acc2-b81e355446b6-369d993c",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "name": "Manualtrigger Workflow",
  "settings": {
    "executionOrder": "v1",
    "saveManualExecutions": true,
    "callerPolicy": "workflowsFromSameOwner",
    "errorWorkflow": null,
    "timezone": "UTC",
    "executionTimeout": 3600,
    "maxExecutions": 1000,
    "retryOnFail": true,
    "retryCount": 3,
    "retryDelay": 1000
  },
  "description": "Automated workflow: Manualtrigger Workflow. This workflow integrates 7 different services: stickyNote, splitOut, stopAndError, manualTrigger, gmail. It contains 9 nodes and follows best practices for error handling and security.",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
    "optimized"
  ],
  "notes": "Excellent quality workflow: Manualtrigger Workflow. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}