私の冷蔵郵送メールジェネレーター

• •Googleアカウント + Gmail API認証情報
• •ターゲットAPIの認証情報が必要な場合あり
• •Google Sheets API認証情報
• •OpenAI API Key

{
  "id": "ISQl1ZnXPDDlWSuN",
  "meta": {
    "instanceId": "766c8c237f056d009bb1bd53e73633458b146427b1ae9c6ec10561694aa89152",
    "templateCredsSetupCompleted": true
  },
  "name": "My Cold Email Generator",
  "tags": [],
  "nodes": [
    {
      "id": "0eac1a6b-0b4d-47d8-a80a-e9943dd8b1a1",
      "name": "下書きを作成",
      "type": "n8n-nodes-base.gmail",
      "position": [
        5456,
        -288
      ],
      "webhookId": "69af6c5c-f647-4c70-a6a1-cefa3fdc4066",
      "parameters": {
        "message": "=Hello {{ $json.first_name }},\n{{ $json.Icebreaker_body }}\n\nRegards,\nBhuvanesh",
        "options": {
          "sendTo": "={{ $json.email }}"
        },
        "subject": "={{ $json.Icebreaker_subject }}",
        "resource": "draft"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "PJrUDp0UTEVBDOMT",
          "name": "Gmail account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "e9e12661-7809-4b13-ac5a-cfa01e1fef87",
      "name": "条件分岐",
      "type": "n8n-nodes-base.if",
      "position": [
        3440,
        -304
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "c8e42edd-c653-406b-a817-12e19234ebb1",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.status }}",
              "rightValue": "Success"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "fdb78e15-cb51-486e-a113-01b6b6abd09f",
      "name": "手動トリガー",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        2352,
        -1456
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "882fb7a2-7ba4-48f9-8b4c-499814a56dd3",
      "name": "全てのリードを取得",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        2576,
        -1456
      ],
      "parameters": {
        "options": {},
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1rUf_ReJMP1sQGUVj7Zfj4SYnmmM06_ZIOP1quabD6hI/edit#gid=0",
          "cachedResultName": "Leads"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1rUf_ReJMP1sQGUVj7Zfj4SYnmmM06_ZIOP1quabD6hI",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1rUf_ReJMP1sQGUVj7Zfj4SYnmmM06_ZIOP1quabD6hI/edit?usp=drivesdk",
          "cachedResultName": "Cold Email Icebreaker"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "jBABhxE6xPp1vBwL",
          "name": "Google Sheets account"
        }
      },
      "typeVersion": 4.7
    },
    {
      "id": "dac7abb5-e34c-4cd9-b794-22d1130dc136",
      "name": "フィルター（適格リード）",
      "type": "n8n-nodes-base.filter",
      "position": [
        2800,
        -1456
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "10b40a26-d529-4aeb-9b5a-4007d9b516dc",
              "operator": {
                "type": "string",
                "operation": "empty",
                "singleValue": true
              },
              "leftValue": "={{ $json.icebreaker_subject }}",
              "rightValue": ""
            },
            {
              "id": "f4b49606-ad14-418b-9983-3f5e7a4a0e31",
              "operator": {
                "type": "string",
                "operation": "empty",
                "singleValue": true
              },
              "leftValue": "={{ $json.icebreaker_body }}",
              "rightValue": ""
            },
            {
              "id": "884bfab2-74ff-4888-bbc3-bd745be7e5a9",
              "operator": {
                "type": "string",
                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json.email }}",
              "rightValue": ""
            },
            {
              "id": "8a333ae0-717a-4aad-ab07-9bb3b6fc985a",
              "operator": {
                "type": "string",
                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json.website_url }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "5bc390bb-567c-44ad-a2e3-ed0cb585ef9d",
      "name": "リードをループ処理",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        1872,
        -1104
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "9982c117-d123-4568-952a-4d35cc3de958",
      "name": "テキストとリンクを抽出",
      "type": "n8n-nodes-base.html",
      "position": [
        2720,
        -544
      ],
      "parameters": {
        "options": {
          "trimValues": true,
          "cleanUpText": true
        },
        "operation": "extractHtmlContent",
        "sourceData": "binary",
        "dataPropertyName": "binary",
        "extractionValues": {
          "values": [
            {
              "key": "links",
              "attribute": "href",
              "cssSelector": "a",
              "returnArray": true,
              "returnValue": "attribute"
            },
            {
              "key": "website_text",
              "cssSelector": "body",
              "returnArray": true
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "5e749a6e-921b-426f-8991-d1b4d3f5c00c",
      "name": "サイトをスクレイピング",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2496,
        -544
      ],
      "parameters": {
        "url": "={{ $json.website_url }}",
        "options": {
          "response": {
            "response": {
              "responseFormat": "file",
              "outputPropertyName": "binary"
            }
          }
        },
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "User-Agent",
              "value": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.127 Safari/537.36"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "34a3caf7-d823-46c7-8588-87d5a83e78ff",
      "name": "リードデータを取得",
      "type": "n8n-nodes-base.set",
      "position": [
        2272,
        -544
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "da0dcf67-9cc1-482c-b66d-170258c2ea4d",
              "name": "row_number",
              "type": "number",
              "value": "={{ $json.row_number }}"
            },
            {
              "id": "42352b60-fecb-4ced-a603-376596409526",
              "name": "id",
              "type": "number",
              "value": "={{ $json.id }}"
            },
            {
              "id": "9a37c363-fbe2-40f7-93b3-d3a9e0aed3ff",
              "name": "first_name",
              "type": "string",
              "value": "={{ $json.first_name }}"
            },
            {
              "id": "e5650386-c9b6-4e9c-8991-10f880deab96",
              "name": "last_name",
              "type": "string",
              "value": "={{ $json.last_name }}"
            },
            {
              "id": "697008fe-4d34-416a-94c6-6497392a8255",
              "name": "email",
              "type": "string",
              "value": "={{ $json.email }}"
            },
            {
              "id": "27261a84-4425-42a0-9967-2136828bccd3",
              "name": "website_url",
              "type": "string",
              "value": "={{ $json.website_url }}"
            },
            {
              "id": "167a3409-718f-454d-97bf-76361b08b75a",
              "name": "title",
              "type": "string",
              "value": "={{ $json.title }}"
            },
            {
              "id": "0f4d452e-448d-441c-b6df-1dd15bb7fec7",
              "name": "company",
              "type": "string",
              "value": "={{ $json.company }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "974fcfea-1921-45a4-99d4-761b2d43e608",
      "name": "ソーシャルとステータスでフィルター",
      "type": "n8n-nodes-base.code",
      "position": [
        2944,
        -544
      ],
      "parameters": {
        "jsCode": "const items = $input.all();\nconst outputItems = [];\n\nconst socialPatterns = ['linkedin.com', 'twitter.com', 'instagram.com'];\n\nfor (const item of items) {\n    const websiteText = item.json.website_text?.[0] || '';\n    const allExternalLinks = item.json.links || [];\n    \n    const socialLinks = allExternalLinks.filter(link => {\n        if (!link) return false; \n        return socialPatterns.some(pattern => link.toLowerCase().includes(pattern));\n    });\n\n    const socialLinksString = socialLinks.join('\\n');\n\n   \n    const originalLeadData = {\n        first_name: $('Capture Lead Data').first().json.first_name,\n        last_name: $('Loop Over Leads').first().json.last_name,\n        email: $('Loop Over Leads').first().json.email,\n        website_url: $('Loop Over Leads').first().json.website_url,\n        title: $('Loop Over Leads').first().json.title,\n        company: $('Loop Over Leads').first().json.company,\n        row_number: $('Loop Over Leads').first().json.row_number\n    };\n    \n    const processingStatus = (websiteText && websiteText.length > 50) ? 'Success' : 'Scrape Fail';\n\n    const newItem = {\n        website_text: websiteText, \n        social_links_string: socialLinksString,\n        all_lead_data: originalLeadData, \n        status: processingStatus\n    };\n\n    outputItems.push({ json: newItem });\n}\n\nreturn outputItems;"
      },
      "typeVersion": 2
    },
    {
      "id": "97a1c64c-e02e-42c7-82c4-50ba4d6df06f",
      "name": "Webサイトを要約",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        3920,
        -544
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "chatgpt-4o-latest",
          "cachedResultName": "CHATGPT-4O-LATEST"
        },
        "options": {
          "temperature": 0.1
        },
        "messages": {
          "values": [
            {
              "role": "system",
              "content": "You are a rigorous, specialized business analyst focused on finding bottlenecks in customer operations. Your task is to provide a concise two-paragraph abstract of the company's profile.\n\nParagraph 1: Core Value Proposition. Summarize the company's main offering and target audience. Utilize [website_text].\n\nParagraph 2: Unique Hook & Operational Insight. Identify one single, non-obvious, specific detail that implies high operational overhead related to customer interaction (e.g., mention of manual booking/scheduling, high customer support call volume, specific lead intake forms, or customer service staffing/hiring challenges). Critically, the insight must relate to the administrative tasks that an AI Receptionist could automate: scheduling, qualification, or call handling. Utilize [website_text] and [social_links]."
            },
            {
              "content": "={{ $json.all_lead_data.company }}'s company data:\n1) [website_text]: {{ $json.website_text }}\n2) [social_links]: {{ $json.social_links_string }}"
            }
          ]
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "HlWDdupQ9GCmRi7F",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.8
    },
    {
      "id": "bf426de8-d6e3-4474-8f5e-0541277f1f56",
      "name": "要約を統合",
      "type": "n8n-nodes-base.set",
      "position": [
        4272,
        -544
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "5c1d4e92-e6a8-465e-aa12-752a8e582f2a",
              "name": "website_summary",
              "type": "string",
              "value": "={{ $json.message.content }}"
            },
            {
              "id": "225c3c64-5c62-44ee-922a-0a912825e5c6",
              "name": "all_lead_data",
              "type": "object",
              "value": "={{ $('Filter Social & Status').item.json.all_lead_data }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "ac63c0ff-87a5-41f1-82e3-b22498bfecf8",
      "name": "件名と本文を生成",
      "type": "@n8n/n8n-nodes-langchain.anthropic",
      "position": [
        4496,
        -544
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "claude-haiku-4-5-20251001",
          "cachedResultName": "claude-haiku-4-5-20251001"
        },
        "options": {
          "system": "Persona:\nYou are a single, highly effective, spartan cold email copywriter. \n\nGoal:\nTo generate both a cohesive subject line and the multi-line body icebreaker copy in a single output. \n\nRules: \n1. Tone: Spartan, casual, and direct (like a bar conversation). \n2. Insight-Driven: Both subject and body must use the Company Summary's unique hook. \n3. Body: Must be 3-4 concise sentences long. Do not include a greeting (e.g., \"Hey [Name]\"). \n4. Output Format: You MUST output the JSON in the exact nested format provided below.",
          "maxTokens": 350,
          "temperature": 0
        },
        "messages": {
          "values": [
            {
              "content": "=Product Context: \nWe sell AI Voice Agents (AI Receptionists) that book, reschedule appointments, and handle lead qualification 24/7.\n\nIrresistible Sales Offer (Integrate This): \nWe run a Free 48-Hour Pilot where we deploy a human-like AI Receptionist to answer all your missed calls. The agent handles FAQs and books new appointments directly into your calendar, 24/7. In the end, you get a report showing exactly how many patient bookings the AI secured while your office was closed. No cost, zero risk. Would you be interested?\n\n\nThis is the company we are trying to sell our service to: {{ $json.all_lead_data.company }}\nThis the company's summary (Unique Hook Context (The Personalization Insight)): {{ $json.website_summary }}\nThe name of the person from the company we are going to email (Recipient): {{ $json.all_lead_data.first_name }}\n\n\nJSON Format ONLY:\n{\n\"message\": {\n\"subject\": \"[Short, Curious Subject based on unique hook]\",\n\"body\": \"[Body that uses the unique hook to transition immediately to the Free 48-Hour Pilot sales offer, ending with the specific CTA and guarantee. Use actual newline characters (\\n) for formatting.]\"\n}\n}"
            }
          ]
        }
      },
      "credentials": {
        "anthropicApi": {
          "id": "CFRCoeDLcmUNPQT7",
          "name": "Anthropic account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "444404fd-8635-4485-943a-f78df5b66e07",
      "name": "AI出力を解析",
      "type": "n8n-nodes-base.code",
      "position": [
        4848,
        -544
      ],
      "parameters": {
        "jsCode": "const items = $input.all();\nconst outputItems = [];\n\nfor (const item of items) {\n    const rawText = item.json.content[0].text;\n    \n    const cleanText = rawText.replace(/```json|```/g, '').trim();\n\n    let subject = 'AI_ERROR';\n    let body = 'Parsing Failed - Check Anthropic Output.';\n\n    try {\n      const parsed = JSON.parse(cleanText);\n\n      subject = parsed?.message?.subject || subject;\n      body = parsed?.message?.body || body;\n    } catch (error) {\n      console.error(\"JSON parse error:\", error);\n    }\n\n    outputItems.push({\n      json: {\n        subject: subject,\n        body: body,\n        all_lead_data: $('Merge Summary').first().json.all_lead_data, \n        website_summary: $('Merge Summary').first().json.website_summary\n      }\n    });\n}\n\nreturn outputItems;"
      },
      "typeVersion": 2
    },
    {
      "id": "23fbfc16-e835-437c-8cb0-a3ad0ee2e758",
      "name": "最終結果を記録",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        5232,
        -288
      ],
      "parameters": {
        "columns": {
          "value": {
            "id": "={{ $('Capture Lead Data').item.json.id }}",
            "email": "={{ $('Capture Lead Data').item.json.email }}",
            "status": "={{ $('Filter Social & Status').item.json.status }}",
            "last_name": "={{ $('Capture Lead Data').item.json.last_name }}",
            "first_name": "={{ $('Merge Summary').item.json.all_lead_data.first_name }}",
            "row_number": 0,
            "icebreaker_body": "={{ $json.body }}",
            "Icebreaker_subject": "={{ $json.subject }}"
          },
          "schema": [
            {
              "id": "id",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "id",
              "defaultMatch": true,
              "canBeUsedToMatch": true
            },
            {
              "id": "first_name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "first_name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "last_name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "last_name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "email",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "email",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "website_url",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "website_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "title",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "title",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "company",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "company",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "status",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Icebreaker_subject",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Icebreaker_subject",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "icebreaker_body",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "icebreaker_body",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "row_number",
              "type": "number",
              "display": true,
              "removed": false,
              "readOnly": true,
              "required": false,
              "displayName": "row_number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "id"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "update",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1rUf_ReJMP1sQGUVj7Zfj4SYnmmM06_ZIOP1quabD6hI/edit#gid=0",
          "cachedResultName": "Leads"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1rUf_ReJMP1sQGUVj7Zfj4SYnmmM06_ZIOP1quabD6hI",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1rUf_ReJMP1sQGUVj7Zfj4SYnmmM06_ZIOP1quabD6hI/edit?usp=drivesdk",
          "cachedResultName": "Cold Email Icebreaker"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "jBABhxE6xPp1vBwL",
          "name": "Google Sheets account"
        }
      },
      "typeVersion": 4.7
    },
    {
      "id": "ab1d0b36-d848-461a-9252-2628590feccc",
      "name": "チーム完了通知を送信",
      "type": "n8n-nodes-base.gmail",
      "position": [
        5344,
        -1120
      ],
      "webhookId": "f3ed8103-1679-41ed-aacc-ff2a14afce2b",
      "parameters": {
        "sendTo": "bhuvaneshx13@gmail.com",
        "message": "Dear team,\n\nYou can find the personalized cold email in the draft section!\n\n\n\nRegards,\nBhuvanesh\n",
        "options": {
          "appendAttribution": false
        },
        "subject": "re: Cold Emails are ready to be sent!",
        "emailType": "text"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "PJrUDp0UTEVBDOMT",
          "name": "Gmail account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "a4d963e7-ebea-4a65-bca2-c7ce38c16161",
      "name": "付箋1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3888,
        -944
      ],
      "parameters": {
        "color": 2,
        "width": 1088,
        "height": 592,
        "content": "## **4. AI Personalization Engine**\n\n### 1.  **OpenAI (Summarize Website Hook):** \nUses **GPT-4** (or gpt-4o) with a low **Temperature (0.1)** to analytically extract the **Unique Operational Insight** (e.g., _manual scheduling dependency_ or _high inbound call volume_) and the core Value Prop.\n    \n### 2.  **Set (Merge Summary):** \nPackages the summary (website\\_summary) and the guaranteed all\\_lead\\_data for the final Anthropic prompt.\n    \n### 3.  **Anthropic (Generate Subject & Body):** \n**The Coherence Engine.** Uses **Claude Sonnet** with a strict prompt and **JSON Object** response to generate a **cohesive subject line and body**, ensuring the body incorporates the **Free 48-Hour Pilot** offer and uses the Unique Hook.\n    \n### 4.  **Code (Parse AI Output):** \n**Final Parser.** This node strips markdown wrappers (\\`\\`\\`json), handles character escaping, and reliably pulls the clean **subject** and **body** strings from the nested Anthropic output"
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    {
      "id": "3ca20d99-a682-41bb-be20-d0256b665f69",
      "name": "付箋3",
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        "content": "## **3. IF (Filtering)** \n\n**Goal:** Control execution flow and maximize **LLM token cost efficiency** by diverting bad leads.\n\nThis node is a critical architectural decision point that acts as a **Quality Gate** before the most expensive steps of the workflow.\n\n\n*   ✅ **TRUE Branch (Status = 'Success'):** The lead has a good website, and the scrape was successful. It proceeds to **OpenAI (Node 9)**, where we budget for token usage.\n    \n*   ❌ **FALSE Branch (Status = 'Scrape Fail'):** The website failed to load or returned minimal text (less than 50 characters). It **bypasses all AI nodes** (OpenAI, Anthropic, Parsing) and jumps directly to **Google Sheets (Log Final Result)**.\n    \n\n**Cost Benefit:** By filtering here, the workflow **saves 100% of the token cost** and execution time for every prospect with a poor website, ensuring you only pay for high-quality, actionable personalization."
      },
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    {
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        "content": "## **1. Data Ingestion & Filtering**\n\n### 1.  **Get All Leads:** \nReplace the placeholder **Spreadsheet ID** and **Sheet Name** with your master lead sheet details.\n    \n### 2.  **Filter:** \nThis node uses a powerful set of conditions (AND combinator) to ensure prospects proceed _only if_ they have a valid **email**, a **website\\_url**, and the Icebreaker field is currently **empty**."
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    {
      "id": "2d3bdc9c-d0be-486c-980e-1095de1d2952",
      "name": "付箋4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        "content": "## **2. Scraping & Data Shaping**\n\n### 1.  **HTTP Request (Scrape Site):** \nEnsure the URL uses the stable expression ={{ $json.website\\_url }}. **Response Format** is set to **File** to correctly deliver binary data to the next node.\n    \n### 2.  **HTML (Extract Text & Links):** \nThis node performs **simultaneous extraction**: it pulls the full website\\_text and an array of all links (including external social links).\n    \n### 3.  **Code (Filter Social & Status):**    \n*   **Filters** the links to isolate high-value platforms (LinkedIn, YouTube, etc.) into social\\_links\\_string.\n*   **Status Check:** Assigns the status property ('Success' or 'Scrape Fail') based on the presence and length of the scraped website text."
      },
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    {
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        "content": "## **5. Logging, Draft and Alert**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### 1.  **Google Sheets (Log Final Result):** \nThis node uses the id for matching and writes the final data. It handles both **Success Path** (writing AI-generated subject/body and status: 'Success') and **Scrape Fail Path** (writing the 'Scrape Fail' status).\n    \n### 2.  **Gmail (Create a Draft):** \n**Quality Control.** Sends the fully assembled email draft to the workflow creator for a manual sanity check. This is your final defense against any AI \"hallucinations\" or formatting errors.\n    \n### 3.  **Loop Over Leads (Loop-Back):** \nThe output from **Gmail (Create a Draft)** loops back to the start of the **Loop Over Leads** node to process the next prospect.\n    \n### 4.  **Gmail (Send Team Completion Alert):** \nThis node is connected to the **After Last Batch** output of the main loop and runs only once the _entire batch_ is finished, notifying the sales team that a new list of highly personalized leads is ready."
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      "position": [
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      "parameters": {
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        "content": "# Hello there!\n\n\n\n# Need support or have a workflow question?  \n\n## 🔗 [Connect on LinkedIn](https://www.linkedin.com/in/bhuvaneshhhh/)"
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      "type": "n8n-nodes-base.stickyNote",
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        "content": "# Personalized Cold Email Generator\n\n\n### Stage 1: Data Acquisition and Resilience\n\nThe process begins by reading qualified leads from **Google Sheets** and initiating a **Loop Over Leads** to process one prospect at a time. This loop is essential for **error isolation**. Inside the loop, the **HTTP Request** node scrapes the target website, and the **HTML** node performs **simultaneous extraction** of both the **website text** (core business info) and **external social links** (current culture/activity).\n\nThe **Code node (Filter Social & Status)** then acts as a **Quality Gate**: it filters non-relevant links, assigns a status (Success or Scrape Fail), and the subsequent **IF node** diverts bad leads directly to the final sheet update. This **saves 100% of AI token costs** on unusable prospects.\n\n### Stage 2: Dual-AI Synthesis and Coherence\n\nOnly successful leads proceed to the AI core:\n\n1.  **GPT-4 (Summarize Website Hook):** This node uses **GPT-4** with a low temperature to analytically synthesize the website text and social links, extracting the **Unique Operational Insight** (e.g., manual scheduling dependency).\n    \n2.  **Anthropic (Generate Subject & Body):** The most critical step. This single **Claude Sonnet** node uses the unique insight, your Irresistible Sales Offer (Free 48-Hour Pilot), and a strict prompt to generate a **coherent subject line and multi-line body** in a specific JSON format.\n    \n3.  **Code (Parse AI Output):** This final **Code node** reliably strips formatting quirks from the LLM output and extracts the clean subject and body strings.\n    \n\n### Stage 3: Logging and Draft\n\nThe final output is passed to **Google Sheets** for logging and status updates, and then to **Gmail (Create a draft)**, which sends the fully assembled, personalized email to the user's drafts folder for final **Quality Assurance** before sending."
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