{
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    "createdAt": "2025-08-10T21:30:15.418Z",
    "description": "This n8n training workflow demonstrates how to connect a **sub-workflow** as a **tool** to an AI Agent.  \nIn this example, the main workflow is a **Website Chatbot** that engages visitors, collects contact information, and sends that data to a CRM process.  \nThe CRM process itself is a separate sub-workflow, connected to the agent as a tool via the **Tool Workflow** node.\n\n---\n\n## Step-by-Step Setup Instructions\n\n### 1. Create the Sub-Workflow (CRM Tool)\nThis sub-workflow will be triggered by the AI agent to process collected information.  \nIt will:\n1. Receive inputs (email, description) from the main chatbot workflow.\n2. Format the data into a structured JSON format.\n3. Append the data to a Google Sheet (acting as the CRM database).\n4. Send a confirmation message back to the main workflow.\n\n**Steps inside the sub-workflow:**\n- **When Executed by Another Workflow** – Triggered by the main workflow’s tool node.\n- **Convert Conversation (Agent)** – Uses OpenAI to extract and format the input into a JSON structure:\n  ```json\n  {\n    \"email\": \"jane.doe@example.com\",\n    \"description\": \"Wants help automating lead intake and sending Slack notifications.\"\n  }\n\n**Structured Output Parser** – Ensures the extracted data matches the expected JSON schema.\n\n**Append row in sheet (Google Sheets)** – Adds the new lead data to your CRM sheet.\n\n**Code Node** – Returns a simple text confirmation like `\"Thanks for the info, we will be in touch soon\"`.\n\n### Required setup for Google Sheets:\n- Enable the Google Sheets API and connect your Google account in n8n.\n- Create a sheet with at least the columns `email` and `description`.\n- Use the sheet's Document ID and tab name in the Google Sheets node.\n\n---\n\n## 2. Create the Main Workflow (Website Chatbot)\nThis workflow acts as the main AI Agent handling incoming chat messages.\n\n### Steps in the main workflow:\n1. **When chat message received** – Starts the workflow whenever a visitor sends a message via your chatbot integration.\n2. **Website Chatbot (Agent Node)** – Configured with a **System Message** that:\n   - Briefly explains your services.\n   - Asks the visitor what processes they want to automate.\n   - Requests their name and email.\n   - Sends collected data to the CRM tool once email and description are available.\n3. **OpenAI Chat Model** – Connects to the AI agent as its language model.\n4. **Simple Memory** – Stores short-term context for the ongoing chat.\n5. **CRM Tool (Tool Workflow Node)** – Points to the sub-workflow created in Step 1, allowing the chatbot to trigger it directly.\n\n---\n\n## 3. Connecting the Sub-Workflow to the AI Agent\n1. Add a **Tool Workflow** node to the main workflow.\n2. Select `\"Parameter\"` as the source.\n3. Paste in your sub-workflow JSON or select it from your n8n workflows.\n4. Connect the **Tool Workflow** node to your AI Agent using the `ai_tool` connection.\n5. Give the tool a clear description (e.g., `crm tool to store lead information`) so the agent knows when to use it.\n\n---\n\n## 4. How It Works in Action\n1. A visitor sends a message through the chatbot.\n2. The AI Agent engages, asks questions, and collects their name, email, and request.\n3. Once collected, the agent triggers the **CRM Tool**.\n4. The sub-workflow formats the data, stores it in Google Sheets, and sends a confirmation.\n5. The chatbot confirms with the visitor that their request was received.\n\n---\n\n## 5. Customization Ideas\n- Replace Google Sheets with your actual CRM API.\n- Add validation to ensure the email format is correct before saving.\n- Expand the CRM tool to send a Slack or email notification after storing the lead.\n\n---\n\n**Created by Robert A. – Ynteractive**  \nWebsite: https://ynteractive.com  \nEmail: robert@ynteractive.com\n",
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   }\n  },\n  \"pinData\": {\n    \"When Executed by Another Workflow\": [\n      {\n        \"query\": \"New inquiry for n8n training from user@example.com\"\n      }\n    ]\n  },\n  \"meta\": {\n    \"templateCredsSetupCompleted\": true,\n    \"instanceId\": \"ad0113c344ee237399e44e9f11798b05baeb83a6196d514a9ae9d2ad71c3b5c9\"\n  }\n}"
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            "content": "## 2. Create the Main Workflow (Website Chatbot)\nThis workflow acts as the main AI Agent handling incoming chat messages.\n\n### Steps in the main workflow:\n1. **When chat message received** – Starts the workflow whenever a visitor sends a message via your chatbot integration.\n2. **Website Chatbot (Agent Node)** – Configured with a **System Message** that:\n   - Briefly explains your services.\n   - Asks the visitor what processes they want to automate.\n   - Requests their name and email.\n   - Sends collected data to the CRM tool once email and description are available.\n3. **OpenAI Chat Model** – Connects to the AI agent as its language model.\n4. **Simple Memory** – Stores short-term context for the ongoing chat.\n5. **CRM Tool (Tool Workflow Node)** – Points to the sub-workflow created in Step 1, allowing the chatbot to trigger it directly.\n\n---\n\n## 3. Connecting the Sub-Workflow to the AI Agent\n1. Add a **Tool Workflow** node to the main workflow.\n2. Select `\"Parameter\"` as the source.\n3. Paste in your sub-workflow JSON or select it from your n8n workflows.\n4. Connect the **Tool Workflow** node to your AI Agent using the `ai_tool` connection.\n5. Give the tool a clear description (e.g., `crm tool to store lead information`) so the agent knows when to use it.\n\n---\n"
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            "content": "## Step-by-Step Setup Instructions\n\n### 1. Create the Sub-Workflow (CRM Tool)\nThis sub-workflow will be triggered by the AI agent to process collected information.  \nIt will:\n1. Receive inputs (email, description) from the main chatbot workflow.\n2. Format the data into a structured JSON format.\n3. Append the data to a Google Sheet (acting as the CRM database).\n4. Send a confirmation message back to the main workflow.\n\n**Steps inside the sub-workflow:**\n- **When Executed by Another Workflow** – Triggered by the main workflow’s tool node.\n- **Convert Conversation (Agent)** – Uses OpenAI to extract and format the input into a JSON structure\n\n**Append row in sheet (Google Sheets)** – Adds the new lead data to your CRM sheet.\n\n**Code Node** – Returns a simple text confirmation like `\"Thanks for the info, we will be in touch soon\"`.\n\n### Required setup for Google Sheets:\n- Copy this goole sheet. https://docs.google.com/spreadsheets/d/1Lr54_U6khrE8jjU-rocf0N1Phe7ZIovLppTjBzIraZk/edit?usp=drivesdk\n- Enable the Google Sheets API and connect your Google account in n8n.\n- Create a sheet with at least the columns `email` and `description`.\n- Use the sheet's Document ID and tab name in the Google Sheets node.\n\n---\n"
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            "content": "## 📬 Need Help or Want to Customize This?\n📧 [robert@ynteractive.com](mailto:robert@ynteractive.com)  \n🔗 [LinkedIn](https://www.linkedin.com/in/robert-breen-29429625/)"
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            },
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              "Productivity"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
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        },
        "group": "[\"input\",\"output\"]",
        "defaults": {
          "name": "Google Sheets"
        },
        "iconData": {
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            "name": "Data & Storage"
          },
          {
            "id": 4,
            "name": "Productivity"
          }
        ]
      },
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        "id": 565,
        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
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            "alias": [
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              "Notes",
              "Sticky"
            ],
            "categories": [
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            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
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            "name": "Core Nodes"
          }
        ]
      },
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        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
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              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
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            "subcategories": {
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                "Data Transformation"
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            }
          }
        },
        "group": "[\"transform\"]",
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          "name": "Code"
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        "iconData": {
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          "fileBuffer": "data:image/svg+xml;base64,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"
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            "name": "Development"
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            "name": "Core Nodes"
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        "icon": "fa:sign-out-alt",
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            "subcategories": {
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          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "When Executed by Another Workflow",
          "color": "#ff6d5a"
        },
        "iconData": {
          "icon": "sign-out-alt",
          "type": "icon"
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        "displayName": "Execute Workflow Trigger",
        "typeVersion": 1,
        "nodeCategories": [
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            "name": "Core Nodes"
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            "subcategories": {
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            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "AI Agent",
          "color": "#404040"
        },
        "iconData": {
          "icon": "robot",
          "type": "icon"
        },
        "displayName": "AI Agent",
        "typeVersion": 3,
        "nodeCategories": [
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            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
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        "id": 1153,
        "icon": "file:openAiLight.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
        "codex": {
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                }
              ]
            },
            "categories": [
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              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "OpenAI Chat Model"
        },
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