This workflow follows the Agent → Airtabletool 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 →
{
"name": "Dynamic Models",
"nodes": [
{
"parameters": {
"model": "google/gemini-2.0-flash-001",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
460,
240
],
"id": "66cc5e3b-84e5-44dc-b91a-41720d865629",
"name": "Gemini 2.0 Flash",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json.blocks[0].elements[0].elements[1].text }}",
"options": {
"systemMessage": "=# Overview\nYou are an AI agent responsible for selecting the most suitable large language model to handle a given user request. Choose only one model from the list below based strictly on each model\u2019s strengths. \n\n## Instructions\nAnalyze the user\u2019s request and return the exact model name that best fits the task. Your response must contain only the model name. No explanations, no formatting, no extra text.\n\n## Available Models and Strengths\n- `google/gemini-2.0-flash-001`: best for fast, lightweight, conversational tasks or simple general-purpose queries \n- `openai/gpt-4.1-mini`: best for tool calling creating calendar events or getting contact information\n- `anthropic/claude-3.7-sonnet`: best for writing high-quality content, research summaries, or tasks requiring clear, professional language \n- `openai/o1`: best for deep logical reasoning and coding in a conversational way \n\n### Output Format:\nReturn only one of the following strings:\n- google/gemini-2.0-flash-001 \n- openai/gpt-4.1-mini \n- anthropic/claude-3.7-sonnet \n- openai/o1\n"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.9,
"position": [
220,
0
],
"id": "2ee6dda2-8617-4213-8d85-3acfb26bdf1f",
"name": "Model Selector"
},
{
"parameters": {
"model": "={{ $('Model Selector').item.json.output.trimEnd() }}",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
680,
240
],
"id": "f53f1675-e5f2-4e04-a9f5-f52877df6160",
"name": "Dynamic Brain",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"sendTo": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('To', ``, 'string') }}",
"subject": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}",
"message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}",
"options": {
"appendAttribution": false
}
},
"type": "n8n-nodes-base.gmailTool",
"typeVersion": 2.1,
"position": [
1020,
240
],
"id": "c97b6c52-a345-4bcc-9bed-a23e5d500c6f",
"name": "Create Draft",
"credentials": {
"gmailOAuth2": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "search",
"base": {
"__rl": true,
"value": "appK0rbtvf9e7vt6w",
"mode": "list",
"cachedResultName": "Contacts",
"cachedResultUrl": "https://airtable.com/appK0rbtvf9e7vt6w"
},
"table": {
"__rl": true,
"value": "tbl08JGCfUK1RhXsG",
"mode": "list",
"cachedResultName": "Contacts",
"cachedResultUrl": "https://airtable.com/appK0rbtvf9e7vt6w/tbl08JGCfUK1RhXsG"
},
"options": {}
},
"type": "n8n-nodes-base.airtableTool",
"typeVersion": 2.1,
"position": [
1140,
240
],
"id": "57437130-9dda-4122-94e6-3ebb85bbd09e",
"name": "Contacts",
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"calendar": {
"__rl": true,
"value": "nateherk88@gmail.com",
"mode": "list",
"cachedResultName": "nateherk88@gmail.com"
},
"start": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start', ``, 'string') }}",
"end": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('End', ``, 'string') }}",
"additionalFields": {
"summary": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}"
}
},
"type": "n8n-nodes-base.googleCalendarTool",
"typeVersion": 1.3,
"position": [
900,
240
],
"id": "ce730bc9-90f3-4dba-9cf0-0197409ce84a",
"name": "Create Event",
"credentials": {
"googleCalendarOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"toolDescription": "Use this tool to search the web. ",
"method": "POST",
"url": "https://api.tavily.com/search",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "{\n \"query\": \"{searchTerm}\",\n \"topic\": \"general\",\n \"search_depth\": \"advanced\",\n \"chunks_per_source\": 3,\n \"max_results\": 1,\n \"time_range\": null,\n \"days\": 7,\n \"include_answer\": true,\n \"include_raw_content\": false,\n \"include_images\": false,\n \"include_image_descriptions\": false,\n \"include_domains\": [],\n \"exclude_domains\": []\n}",
"placeholderDefinitions": {
"values": [
{
"name": "searchTerm",
"description": "What the user is searching for. "
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
"typeVersion": 1.1,
"position": [
1260,
240
],
"id": "d2e78b56-63db-4046-bd40-43c187e1f4d0",
"name": "Tavily",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"value": "1b6Xi7EqH0TZfIvTxC0_KYcJPg_zsqdylaWowHvfWnYY",
"mode": "list",
"cachedResultName": "Dynamic Model Log",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1b6Xi7EqH0TZfIvTxC0_KYcJPg_zsqdylaWowHvfWnYY/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "Sheet1",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1b6Xi7EqH0TZfIvTxC0_KYcJPg_zsqdylaWowHvfWnYY/edit#gid=0"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Timestamp": "={{ $now.format('yyyy-MM-dd hh:mm a') }}",
"Input": "={{ $('Slack Trigger').item.json.blocks[0].elements[0].elements[1].text }}",
"Output": "={{ $json.output.trimEnd() }}",
"Model": "={{ $('Model Selector').item.json.output.trimEnd() }}"
},
"matchingColumns": [],
"schema": [
{
"id": "Timestamp",
"displayName": "Timestamp",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Input",
"displayName": "Input",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Output",
"displayName": "Output",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Model",
"displayName": "Model",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
980,
0
],
"id": "32885341-09dd-4689-996d-89cb22d48a7e",
"name": "Log Output",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"trigger": [
"app_mention"
],
"channelId": {
"__rl": true,
"value": "C08L6NPLT98",
"mode": "list",
"cachedResultName": "youtube"
},
"options": {}
},
"type": "n8n-nodes-base.slackTrigger",
"typeVersion": 1,
"position": [
-20,
0
],
"id": "7daf1922-d61b-4244-9055-c7a0e18acdbb",
"name": "Slack Trigger",
"credentials": {
"slackApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"select": "channel",
"channelId": {
"__rl": true,
"value": "C08L6NPLT98",
"mode": "list",
"cachedResultName": "youtube"
},
"text": "={{ $('Smarty Pants').item.json.output.trimEnd() }}",
"otherOptions": {
"includeLinkToWorkflow": false
}
},
"type": "n8n-nodes-base.slack",
"typeVersion": 2.3,
"position": [
1220,
0
],
"id": "5391b3ed-a333-4e17-8c6f-918b3ebda2ec",
"name": "Slack",
"credentials": {
"slackApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "## Slack Trigger\n",
"height": 240,
"width": 220
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-80,
-80
],
"id": "953e2dad-0ed1-41b0-b8e1-b9bcb2f2e71b",
"name": "Sticky Note"
},
{
"parameters": {
"content": "## Model Selector Agent\n\n",
"height": 240,
"width": 360,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
160,
-80
],
"id": "b3f2404f-8791-4c34-9009-6894fb66b5b8",
"name": "Sticky Note1"
},
{
"parameters": {
"content": "## Smart Tools Agent\n\n",
"height": 240,
"width": 360,
"color": 5
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
540,
-80
],
"id": "c98d4a33-f336-4c99-95fa-a2af1b98482a",
"name": "Sticky Note2"
},
{
"parameters": {
"content": "## Slack Response\n",
"height": 240,
"width": 220
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1160,
-80
],
"id": "99df6b16-7748-4fcf-9485-74ef1c88020c",
"name": "Sticky Note3"
},
{
"parameters": {
"content": "## Log Run\n",
"height": 240,
"width": 220,
"color": 2
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
920,
-80
],
"id": "95ba9629-9e88-40af-b42d-997111e7908d",
"name": "Sticky Note4"
},
{
"parameters": {
"content": "## Dynamic Brain",
"height": 200,
"width": 200,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
620,
180
],
"id": "d28254fa-f3ad-4a3c-be9f-9137f5c6bcf1",
"name": "Sticky Note5"
},
{
"parameters": {
"content": "## Tools",
"height": 200,
"width": 540,
"color": 7
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
840,
180
],
"id": "06e2f548-623c-4027-8659-83d527e9a81e",
"name": "Sticky Note6"
},
{
"parameters": {
"content": "## Flash 2.0",
"height": 200,
"width": 200,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
400,
180
],
"id": "34572f53-061e-465b-a659-01deddc71560",
"name": "Sticky Note7"
},
{
"parameters": {
"promptType": "define",
"text": "={{ $('Slack Trigger').item.json.blocks[0].elements[0].elements[1].text }}",
"options": {
"systemMessage": "=Here is the current date/time: {{ $now }}"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.9,
"position": [
600,
0
],
"id": "16c3b994-9dee-4226-82a0-060108cf73a7",
"name": "Smarty Pants"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
580,
1060
],
"id": "dfe023d8-5e75-43ed-b151-7704caf54413",
"name": "When clicking \u2018Test workflow\u2019"
},
{
"parameters": {
"operation": "download",
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
840,
1060
],
"id": "a80dd514-cca1-403d-8616-e1cf1a001449",
"name": "Download File",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "insert",
"tableName": {
"__rl": true,
"value": "documents",
"mode": "list",
"cachedResultName": "documents"
},
"options": {
"queryName": "match_documents"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1.1,
"position": [
1080,
1060
],
"id": "4c000f46-6ed7-4e10-be95-48d18365e711",
"name": "Supabase Vector Store",
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"dataType": "binary",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1,
"position": [
900,
1320
],
"id": "40b73ffa-0220-46c0-a856-b03fab9d9c6d",
"name": "Default Data Loader"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"typeVersion": 1,
"position": [
1220,
1320
],
"id": "87d64e81-08b9-4709-af04-57bf143d1b15",
"name": "Recursive Character Text Splitter"
},
{
"parameters": {
"content": "## Manual Trigger\n",
"height": 240
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
520,
980
],
"id": "de0fdb6e-1b2c-43c5-95f4-ddb1d82053fa",
"name": "Sticky Note13"
},
{
"parameters": {
"content": "## Download File\n\n",
"height": 240,
"width": 220,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
780,
980
],
"id": "5cea124e-3381-4056-8ec9-968bbf1539ec",
"name": "Sticky Note14"
},
{
"parameters": {
"content": "## Insert to Supabase\n\n",
"height": 240,
"width": 360,
"color": 5
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1020,
980
],
"id": "329769ae-eea1-41c7-a95f-e318025d7e07",
"name": "Sticky Note15"
},
{
"parameters": {
"content": "## Vectorizing",
"height": 240,
"width": 700,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
680,
1240
],
"id": "21475ad2-55b7-44d6-8917-c7dfc21fa8b0",
"name": "Sticky Note16"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
760,
1320
],
"id": "44db65bf-02ad-44a7-b3a0-53ca8cbfc2b0",
"name": "Embeddings_OpenAI",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.1,
"position": [
440,
540
],
"id": "6b4b897a-16f5-4f8a-91b9-862f053cca29",
"name": "When chat message received"
},
{
"parameters": {
"content": "## Model Selector Agent\n\n",
"height": 240,
"width": 360,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
640,
460
],
"id": "3bd2a375-e7b7-4761-8a32-80b80d5b2855",
"name": "Sticky Note8"
},
{
"parameters": {
"content": "## Dynamic Brain",
"height": 200,
"width": 200,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
640,
720
],
"id": "9414852c-4f45-4520-b9dc-6ba4836cf1e7",
"name": "Sticky Note9"
},
{
"parameters": {
"content": "## Flash 2.0",
"height": 200,
"width": 200,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
420,
720
],
"id": "32beb50c-430d-4cb0-bce6-88973a7ea6db",
"name": "Sticky Note10"
},
{
"parameters": {
"content": "## Smart RAG Agent\n\n",
"height": 240,
"width": 360,
"color": 5
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1020,
460
],
"id": "63f9071f-802f-46b4-86e1-dbf6acc8eb38",
"name": "Sticky Note11"
},
{
"parameters": {
"promptType": "define",
"text": "={{ $('When chat message received').item.json.chatInput }}",
"options": {
"systemMessage": "=# Overview\nYou are an AI agent that works at a company called Tech Haven, and you have access to a knowledge base that has policy and FAQ information. Your job is to respond to the user's query by using your \"knowledgeBase\" tool and answering their question. "
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.9,
"position": [
1080,
540
],
"id": "bd05cb93-f1b6-42c6-99c1-ecb0a4d7073b",
"name": "RAG Agent"
},
{
"parameters": {
"model": "google/gemini-2.0-flash-001",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
480,
780
],
"id": "2393084b-f37f-4d0d-af80-459ea4a8fe32",
"name": "Gemini 2.0-Flash",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": "={{ $json.output.trimEnd() }}",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
700,
780
],
"id": "f4128f3a-85bf-43d7-a8fc-bb0417c1fa79",
"name": "Dynamic-Brain",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "## Slack Trigger\n",
"height": 240
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
380,
460
],
"id": "7124e026-f327-4248-b0c7-c5806b2f8ab3",
"name": "Sticky Note12"
},
{
"parameters": {
"options": {
"systemMessage": "=# Overview \nYou are an AI agent responsible for selecting the most suitable large language model to handle a given user request. Choose only one model from the list below based strictly on each model\u2019s strengths. \n\n## Instructions \nAnalyze the user\u2019s request and return the exact model name that best fits the task. Your response must contain only the model name. No explanations, no formatting, no extra text. \n\n## Available Models and Strengths \n- `openai/gpt-4.1-mini`: best for simple, factual, or lightweight queries that require minimal reasoning \n- `anthropic/claude-3.5-sonnet`: best for standard or moderately complex tasks, including multi-step reasoning or basic problem solving \n\n### Output Format: \nReturn only one of the following strings: \n- openai/gpt-4.1-mini \n- anthropic/claude-3.5-sonnet \n"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.9,
"position": [
700,
540
],
"id": "f8decd2d-db97-40ef-b626-4892cc49dd94",
"name": "Model-Selector"
},
{
"parameters": {
"mode": "retrieve-as-tool",
"toolName": "knowledgeBase",
"toolDescription": "Call this tool to retrieve policy and FAQ information",
"tableName": {
"__rl": true,
"value": "documents",
"mode": "list",
"cachedResultName": "documents"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1.1,
"position": [
900,
780
],
"id": "a8c78dae-af5e-4014-bc6d-9ffdf92b0347",
"name": "knowledgeBase",
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
1220,
780
],
"id": "e386f1c8-9ab2-47b0-b73d-39b56bc4366b",
"name": "Embeddings OpenAI",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "## Knowledge Base",
"height": 200,
"width": 520,
"color": 7
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
860,
720
],
"id": "7ccc6f53-7dde-45f7-b131-93c2d178ea78",
"name": "Sticky Note17"
},
{
"parameters": {
"content": "# \ud83d\ude80 Setup Guide \n**\ud83d\udc64 Author:** [Nate Herk](https://www.youtube.com/@nateherk)\n\n---\n\n### \u2705 Follow these steps to connect your tools:\n\n1. **\ud83d\udd14 Connect Slack Trigger and Response** \n - Watch the [Slack credential tutorial](https://youtu.be/qk5JH6ImK0I?si=HTL7KXwokWnFJsCW)\n\n2. **\ud83d\udd11 Connect your [OpenRouter API Key](https://openrouter.ai/)**\n\n3. **\ud83d\udcca Connect the [Google Sheets Template](https://docs.google.com/spreadsheets/d/1sQFDsuHBFGEZdTAoRi2-P_LUgPWfkDA-1iELI5RY6vA/edit?usp=sharing)**\n\n4. **\ud83e\uddec Connect your [Supabase Credentials](https://supabase.com/)** \n - Follow the [Supabase Setup Guide](https://youtu.be/JjBofKJnYIU?si=oUpYp_Shc-MJbqYn)\n\n---\n\n\ud83d\udca1 *Once all integrations are connected, you're ready to build powerful automations!*\n",
"height": 440,
"width": 500
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-600,
-80
],
"id": "804a538a-4c9e-41b9-bf14-a200dec29f43",
"name": "Sticky Note18"
}
],
"connections": {
"Gemini 2.0 Flash": {
"ai_languageModel": [
[
{
"node": "Model Selector",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Model Selector": {
"main": [
[
{
"node": "Smarty Pants",
"type": "main",
"index": 0
}
]
]
},
"Dynamic Brain": {
"ai_languageModel": [
[
{
"node": "Smarty Pants",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Create Draft": {
"ai_tool": [
[
{
"node": "Smarty Pants",
"type": "ai_tool",
"index": 0
}
]
]
},
"Contacts": {
"ai_tool": [
[
{
"node": "Smarty Pants",
"type": "ai_tool",
"index": 0
}
]
]
},
"Create Event": {
"ai_tool": [
[
{
"node": "Smarty Pants",
"type": "ai_tool",
"index": 0
}
]
]
},
"Tavily": {
"ai_tool": [
[
{
"node": "Smarty Pants",
"type": "ai_tool",
"index": 0
}
]
]
},
"Log Output": {
"main": [
[
{
"node": "Slack",
"type": "main",
"index": 0
}
]
]
},
"Slack Trigger": {
"main": [
[
{
"node": "Model Selector",
"type": "main",
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}
]
]
},
"Smarty Pants": {
"main": [
[
{
"node": "Log Output",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Download File",
"type": "main",
"index": 0
}
]
]
},
"Download File": {
"main": [
[
{
"node": "Supabase Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Supabase Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Embeddings_OpenAI": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "Model-Selector",
"type": "main",
"index": 0
}
]
]
},
"Gemini 2.0-Flash": {
"ai_languageModel": [
[
{
"node": "Model-Selector",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Dynamic-Brain": {
"ai_languageModel": [
[
{
"node": "RAG Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Model-Selector": {
"main": [
[
{
"node": "RAG Agent",
"type": "main",
"index": 0
}
]
]
},
"knowledgeBase": {
"ai_tool": [
[
{
"node": "RAG Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "knowledgeBase",
"type": "ai_embedding",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "e4e6d72e-d29f-4a3f-ad19-e952dcfb13eb",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "1tqWwsJff6sspQmc",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
airtableTokenApigmailOAuth2googleCalendarOAuth2ApigoogleDriveOAuth2ApigoogleSheetsOAuth2ApihttpHeaderAuthopenAiApiopenRouterApislackApisupabaseApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
How this works
This workflow empowers sales teams and customer support specialists to automate personalised outreach by dynamically generating email drafts and calendar events based on real-time data analysis. It leverages AI to select and apply the most suitable language model for crafting context-aware messages, pulling contact details from Airtable and scheduling follow-ups via Google Calendar. The key step involves the AI agent intelligently routing tasks to tools like Gmail and Tavily for search-enhanced content, ensuring responses feel tailored and timely without manual intervention.
Use this workflow when handling high-volume, variable customer interactions that require adaptive AI responses, such as lead nurturing or support ticketing, especially if you already integrate Airtable for data management. Avoid it for simple, static automations where basic if-then rules suffice, or in low-data environments lacking robust contact databases. Common variations include swapping Tavily for internal search tools or adding Slack notifications for team alerts on event creations.
About this workflow
Dynamic Models. Uses lmChatOpenRouter, agent, gmailTool, airtableTool. Event-driven trigger; 43 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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