{
  "meta": {
    "templateId": "4966"
  },
  "nodes": [
    {
      "id": "02f761e2-83c4-488b-91f4-f4ae11b15c00",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "maxTries": 5,
      "position": [
        1420,
        680
      ],
      "parameters": {
        "text": "={{ $json.finalPrompt }}\n\n\n",
        "options": {
          "systemMessage": "You are [Company]\u2019s support assistant for Black Ball Sporting Club.\n\u2022 Do NOT include any preamble such as \u201cBased on the document you provided\u201d or \u201cOkay, [Name].\u201d Just jump straight to the answer.\n* don't ever start your response with\"based on the document you provided\" , or \"According to the document\", don't mention any documents at all , also don't mention today's date unless you asked\n"
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "retryOnFail": false,
      "typeVersion": 1.7,
      "alwaysOutputData": true,
      "waitBetweenTries": null
    },
    {
      "id": "57ecb397-5772-4db3-8a5a-ce28a4e01e63",
      "name": "cleanAnswer",
      "type": "n8n-nodes-base.code",
      "position": [
        2680,
        580
      ],
      "parameters": {
        "jsCode": "// cleanAnswer \u2013 run once per item\nlet txt = $('AI Agent').first().json.output || '';\n\n// 1. Remove bold / italic / strike markers\ntxt = txt.replace(/[*_~]+/g, '');\n\n// 2. Convert [Texto](https://url) \u2192 Texto https://url\ntxt = txt.replace(/\\[([^\\]]+)\\]\\((https?:\\/\\/[^\\s)]+)\\)/g, '$1 $2');\n\n// 3. Collapse 3+ blank lines\ntxt = txt.replace(/\\n{3,}/g, '\\n\\n').trim();\n\n// 4. Remove the unwanted source-reference preamble\ntxt = txt.replace(/^.*?based on the document you provided[,:]?\\s*/i, '');\n\nreturn [{ json: { answer: txt } }];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "d70cf8b1-8c24-44f2-9b37-5205b130cff2",
      "name": "24-hour window check",
      "type": "n8n-nodes-base.code",
      "position": [
        2240,
        680
      ],
      "parameters": {
        "jsCode": "// within24h?  \u2013 run once per item\n// Meta (WhatsApp) timestamp arrives as seconds since epoch\nconst lastTs = Number($('when message received').first().json.messages[0].timestamp) * 1000;   // \u2192 ms\nconst withinWindow = Date.now() - lastTs < 24 * 60 * 60 * 1000;\n\nreturn [{ json: { withinWindow, answer: $json.answer, userId: $json.userId } }];"
      },
      "typeVersion": 2
    },
    {
      "id": "66c83de5-413a-440f-804e-15b137beb873",
      "name": "If",
      "type": "n8n-nodes-base.if",
      "position": [
        2460,
        680
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "d33e218e-a49a-49ed-9c6b-55b9ea0b0dbb",
              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              },
              "leftValue": "={{ $json.withinWindow }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "c9d931c3-d88c-4d15-b8fe-787327c0200a",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1380,
        900
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.5-flash-preview-04-17-thinking"
      },
      "typeVersion": 1
    },
    {
      "id": "df46b528-cbbd-49c2-9b83-4402ef0c8ac7",
      "name": "Prepare Prompt",
      "type": "n8n-nodes-base.aiTransform",
      "position": [
        1200,
        680
      ],
      "parameters": {
        "jsCode": "const googleDocs = $input.all().map((item) => item.json);\nconst whatsappMessages = $(\"when message received\")\n  .all()\n  .map((item) => item.json);\n\nconst date = new Date();\nconst formattedDate = `${date.getMonth() + 1} ${date.getDate()}, ${date.getFullYear()}`;\n\nconst docText = googleDocs[0].content.split(\"\\n\").join(\" \");\n\nconst body = whatsappMessages[0].messages[0].text.body;\n\nconst finalPrompt = `Today's date is: ${formattedDate}\\n\\n${docText}\\n\\nUser's question:\\n${body}`;\n\nreturn { finalPrompt };\n",
        "instructions": "Write code to:\n\u2022 Get today\u2019s date formatted \u201cMonth Day, Year\u201d\n\u2022 Extract the Google Doc\u2019s plain text by joining its body.content textRuns\n\u2022 Extract the WhatsApp message from messages[0].text.body\n\u2022 Build a field finalPrompt exactly as:\n\nvbnet\nCopy\nEdit\nToday's date is: [date]\n\n[doc text]\n\nUser's question:\n[body]\n\u2022 Return finalPrompt only.",
        "codeGeneratedForPrompt": "Write code to:\n\u2022 Get today\u2019s date formatted \u201cMonth Day, Year\u201d\n\u2022 Extract the Google Doc\u2019s plain text by joining its body.content textRuns\n\u2022 Extract the WhatsApp message from messages[0].text.body\n\u2022 Build a field finalPrompt exactly as:\n\nvbnet\nCopy\nEdit\nToday's date is: [date]\n\n[doc text]\n\nUser's question:\n[body]\n\u2022 Return finalPrompt only."
      },
      "typeVersion": 1
    },
    {
      "id": "19de46dc-add8-4cad-81a9-6e5b341f1f33",
      "name": "Google Sheets",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        2020,
        680
      ],
      "parameters": {},
      "credentials": {},
      "typeVersion": 4.6
    },
    {
      "id": "b622392e-65dc-4d27-a5f9-d27ea57aae61",
      "name": "Date & Time",
      "type": "n8n-nodes-base.dateTime",
      "position": [
        1800,
        680
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 2
    },
    {
      "id": "a6ae2118-9d68-4fb0-b975-b9c6d4170e00",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        380,
        240
      ],
      "parameters": {
        "height": 1520,
        "content": "# WhatsApp AI Assistant \n\n**No Business Verification Required\nInstant activation with full WhatsApp Group support.**\n\n**Instantly answer WhatsApp questions using your internal documents. No AI training required.**\n\n*Skip the complex WhatsApp Business Cloud API setup - WhapAround solve that problem for you.*\n\n## How It Works\nYour assistant reads a live Google Doc, processes incoming WhatsApp messages, generates AI responses using OpenAI/Gemini, and sends replies automatically.\n\n## Requirements\n- **WhapAround Account**: https://whaparound.pro/ (eliminates need for WhatsApp Business Cloud API configuration)\n- **Google Doc** with your business content\n- **API Key**: OpenAI or Gemini\n- **Database** (optional): PostgreSQL memory setup - https://www.youtube.com/watch?v=JjBofKJnYIU\n\n## Quick Setup\n1. Add your Google Doc ID to the Docs node\n2. Connect WhatsApp webhook (follow provided guidance)\n3. Map the message field\n4. Connect your AI provider (OpenAI/Gemini)\n5. Test with a live message\n\n## Professional Setup Services\nNeed help with implementation? We provide:\n- **Easy WhatsApp connection** (bypass WhatsApp Business Cloud API complexity entirely)\n- Google OAuth & document structure\n- AI model configuration\n- Custom branding & tone\n- Logging & escalation systems\n\n**Contact**: andrea@jamot.pro | WhatsApp: +16508665016"
      },
      "typeVersion": 1
    },
    {
      "id": "8f4a786b-fc6d-4e2f-b8df-c605475afc81",
      "name": "company's knowledge",
      "type": "n8n-nodes-base.googleDocs",
      "position": [
        980,
        680
      ],
      "parameters": {
        "operation": "get",
        "documentURL": "=1Uv1WYCcXNlp-jaeJ7-3MNxWYfPj-wcYnJv4_colXSvk"
      },
      "typeVersion": 2
    },
    {
      "id": "a6de89dd-ada0-432c-9f8e-ece38264ad81",
      "name": "Simple Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        1500,
        900
      ],
      "parameters": {
        "sessionKey": "={{ $('when message received').item.json.contacts[0].wa_id }}",
        "sessionIdType": "customKey"
      },
      "typeVersion": 1.3
    },
    {
      "id": "bc950073-fd3c-45e6-bb14-d2d361418725",
      "name": "WhapAround - Listeing",
      "type": "n8n-nodes-base.webhook",
      "position": [
        720,
        680
      ],
      "parameters": {
        "path": "30720c7c-18f4-4815-be3b-03343d53ee45",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "ce59dedc-9e76-4d68-a3d7-721a58593c92",
      "name": "WhapAround - Respond Message ",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        2920,
        580
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "b88bce3f-8aa1-4cc1-9d0f-31f229cc19de",
      "name": "WhapAround - Respond Template ",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        2700,
        800
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.2
    }
  ],
  "connections": {
    "If": {
      "main": [
        [
          {
            "node": "cleanAnswer",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "WhapAround - Respond Template ",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Date & Time",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Date & Time": {
      "main": [
        [
          {
            "node": "Google Sheets",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "cleanAnswer": {
      "main": [
        [
          {
            "node": "WhapAround - Respond Message ",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Sheets": {
      "main": [
        [
          {
            "node": "24-hour window check",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Simple Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Prepare Prompt": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "company's knowledge": {
      "main": [
        [
          {
            "node": "Prepare Prompt",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "24-hour window check": {
      "main": [
        [
          {
            "node": "If",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "WhapAround - Listeing": {
      "main": [
        [
          {
            "node": "company's knowledge",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    }
  }
}