This workflow follows the Gmail → Googlegemini 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": "Smart Morning Guard: Weather & Train AI Alert",
"nodes": [
{
"parameters": {
"content": "## \ud83c\udf05 Smart Morning Guard\n\nWake up prepared. This workflow runs every morning (e.g., 5:00 AM), fetches local **Weather** and **Train Delays** (RSS), and uses **Gemini** to decide if you need to wake up early or take an umbrella.\n\n## How it works\n1. **Trigger:** Schedule (Daily) or Manual Test.\n - *Includes a **Test Mode** to simulate \"Heavy Storm & Train Suspension\" events.*\n2. **Fetch:** Gets real-time weather (OpenWeather) and delay news (Google News RSS).\n3. **Analyze:** Gemini evaluates the severity. (e.g., \"Rain\" is normal, \"Typhoon\" is emergency).\n4. **Action:**\n - **Emergency:** Sends immediate alert & triggers SwitchBot (optional).\n - **Normal:** Sends a routine briefing later.\n\n## Setup steps\n1. **Connect:** OpenWeatherMap, Gemini, Gmail.\n2. **Config:** Open **\"Config\"** to set Location, Train Line, and Email.\n3. **Test:** Set `TEST_MODE` to `true` to verify the emergency logic.",
"height": 380,
"width": 500,
"color": 3
},
"id": "sticky-main",
"name": "Sticky Note - Main",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-380,
240
]
},
{
"parameters": {
"content": "## \u2699\ufe0f Configuration\nSet Location & APIs.",
"height": 140,
"width": 240,
"color": 6
},
"id": "sticky-config",
"name": "Sticky Note - Config",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-380,
660
]
},
{
"parameters": {
"content": "## \ud83d\udce1 Data Collection\nReal API vs Mock Data.",
"height": 340,
"width": 760,
"color": 6
},
"id": "sticky-data",
"name": "Sticky Note - Data",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
180,
240
]
},
{
"parameters": {
"content": "## \ud83e\udde0 AI Judgment\nDecides Urgency.",
"height": 140,
"width": 440,
"color": 6
},
"id": "sticky-ai",
"name": "Sticky Note - AI",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1000,
240
]
},
{
"parameters": {
"content": "## \ud83d\udea8 Routing & Alert\nEmergency vs Normal.",
"height": 320,
"width": 600,
"color": 6
},
"id": "sticky-route",
"name": "Sticky Note - Route",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1480,
240
]
},
{
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 5
}
]
}
},
"id": "schedule-trigger",
"name": "Wake Up Check (5:00 AM)",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
-600,
500
]
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "id-1",
"name": "LOCATION",
"value": "Tokyo,JP",
"type": "string"
},
{
"id": "id-2",
"name": "TRAIN_LINE",
"value": "Yamanote Line",
"type": "string"
},
{
"id": "id-3",
"name": "USER_EMAIL",
"value": "me@example.com",
"type": "string"
},
{
"id": "id-4",
"name": "OPENWEATHER_API_KEY",
"value": "",
"type": "string"
},
{
"id": "id-5",
"name": "TEST_MODE",
"value": "true",
"type": "string"
}
]
},
"includeOtherFields": true,
"options": {}
},
"id": "config-node",
"name": "Config",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-360,
720
]
},
{
"parameters": {
"options": {}
},
"id": "manual-trigger",
"name": "Manual Trigger",
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-600,
700
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "is_test",
"leftValue": "={{ $('Config').first().json.TEST_MODE }}",
"rightValue": "true",
"operator": {
"type": "string",
"operation": "equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "check-mode",
"name": "Test Mode?",
"type": "n8n-nodes-base.switch",
"typeVersion": 3.2,
"position": [
220,
300
]
},
{
"parameters": {
"jsCode": "// Generate Mock Emergency Data\nreturn [{\n json: {\n weather_desc: \"Heavy Thunderstorm\",\n temp: 18,\n news_titles: \"Major delay on Yamanote Line due to power outage, Suspension of service expected all morning\"\n }\n}];"
},
"id": "mock-data",
"name": "Mock Data",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
460,
200
]
},
{
"parameters": {
"url": "https://api.openweathermap.org/data/2.5/weather",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "q",
"value": "={{ $('Config').first().json.LOCATION }}"
},
{
"name": "appid",
"value": "={{ $('Config').first().json.OPENWEATHER_API_KEY }}"
},
{
"name": "units",
"value": "metric"
},
{
"name": "lang",
"value": "en"
}
]
},
"options": {}
},
"id": "get-weather",
"name": "Get Weather",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.3,
"position": [
460,
400
]
},
{
"parameters": {
"url": "={{ 'https://news.google.com/rss/search?q=' + encodeURIComponent($('Config').first().json.TRAIN_LINE + ' delay suspended') + '&hl=en-US&gl=US&ceid=US:en' }}",
"options": {}
},
"id": "get-news",
"name": "Get Train News",
"type": "n8n-nodes-base.rssFeedRead",
"typeVersion": 1.2,
"position": [
620,
400
]
},
{
"parameters": {
"jsCode": "// Prepare context for AI\n// Merges data from either Mock path or Real API path\n\nconst mode = $('Config').first().json.TEST_MODE;\n\nif (mode === 'true') {\n return $('Mock Data').all();\n}\n\n// Process Real Data\nconst weather = $('Get Weather').first().json;\nconst newsItems = $('Get Train News').all();\nconst newsTitles = newsItems.map(i => i.json.title).join(', ');\n\nreturn [{\n json: {\n weather_desc: weather.weather[0].description,\n temp: weather.main.temp,\n news_titles: newsTitles || \"No recent delay news.\"\n }\n}];"
},
"id": "prepare-data",
"name": "Prepare Context",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
820,
300
]
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "models/gemini-1.5-flash",
"mode": "list",
"cachedResultName": "models/gemini-1.5-flash"
},
"messages": {
"values": [
{
"content": "=You are a smart morning assistant.\nAnalyze the data to determine if the user needs to wake up early.\n\nCondition for EMERGENCY:\n- Weather: Heavy rain, snow, storm.\n- Train: Delays, suspension, accident.\n\n[Data]\nWeather: {{ $json.weather_desc }}, Temp: {{ $json.temp }}C\nNews: {{ $json.news_titles }}\n\n[Output Format]\nOutput ONLY JSON.\n{\n \"status\": \"EMERGENCY\" or \"NORMAL\",\n \"reason\": \"Short reason\",\n \"email_subject\": \"Subject\",\n \"email_body\": \"HTML body\"\n}"
}
]
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
1040,
300
],
"id": "gemini-judge",
"name": "Gemini: Judge",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "// Parse Gemini Output\nconst text = $input.first().json.content.parts[0].text;\nlet result = {};\ntry {\n const cleanText = text.replace(/```json/g, '').replace(/```/g, '').trim();\n result = JSON.parse(cleanText);\n} catch (e) {\n result = { status: \"NORMAL\", reason: \"Parse Error\", email_subject: \"Morning Update\", email_body: \"Error parsing AI response.\" };\n}\nreturn { json: result };"
},
"id": "parse-response",
"name": "Parse Response",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1260,
300
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "is_emergency",
"leftValue": "={{ $json.status }}",
"rightValue": "EMERGENCY",
"operator": {
"type": "string",
"operation": "equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "is-emergency",
"name": "Is Emergency?",
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
1520,
300
]
},
{
"parameters": {
"sendTo": "={{ $('Config').first().json.USER_EMAIL }}",
"subject": "={{ $json.email_subject }}",
"emailType": "text",
"message": "={{ $json.email_body }}",
"options": {}
},
"id": "send-email-urgent",
"name": "Send Email (Urgent)",
"type": "n8n-nodes-base.gmail",
"typeVersion": 2.1,
"position": [
1800,
200
],
"credentials": {
"gmailOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"amount": 90,
"unit": "minutes"
},
"id": "wait-node",
"name": "Wait 90 mins",
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
1740,
420
]
},
{
"parameters": {
"sendTo": "={{ $('Config').first().json.USER_EMAIL }}",
"subject": "={{ $json.email_subject }}",
"emailType": "text",
"message": "={{ $json.email_body }}",
"options": {}
},
"id": "send-email-normal",
"name": "Send Email (Normal)",
"type": "n8n-nodes-base.gmail",
"typeVersion": 2.1,
"position": [
1960,
420
],
"credentials": {
"gmailOAuth2Api": {
"name": "<your credential>"
}
}
}
],
"connections": {
"Config": {
"main": [
[
{
"node": "Test Mode?",
"type": "main",
"index": 0
}
]
]
},
"Wake Up Check (5:00 AM)": {
"main": [
[
{
"node": "Config",
"type": "main",
"index": 0
}
]
]
},
"Manual Trigger": {
"main": [
[
{
"node": "Config",
"type": "main",
"index": 0
}
]
]
},
"Test Mode?": {
"main": [
[
{
"node": "Mock Data",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Weather",
"type": "main",
"index": 0
}
]
]
},
"Mock Data": {
"main": [
[
{
"node": "Prepare Context",
"type": "main",
"index": 0
}
]
]
},
"Get Weather": {
"main": [
[
{
"node": "Get Train News",
"type": "main",
"index": 0
}
]
]
},
"Get Train News": {
"main": [
[
{
"node": "Prepare Context",
"type": "main",
"index": 0
}
]
]
},
"Prepare Context": {
"main": [
[
{
"node": "Gemini: Judge",
"type": "main",
"index": 0
}
]
]
},
"Gemini: Judge": {
"main": [
[
{
"node": "Parse Response",
"type": "main",
"index": 0
}
]
]
},
"Parse Response": {
"main": [
[
{
"node": "Is Emergency?",
"type": "main",
"index": 0
}
]
]
},
"Is Emergency?": {
"main": [
[
{
"node": "Send Email (Urgent)",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait 90 mins",
"type": "main",
"index": 0
}
]
]
},
"Wait 90 mins": {
"main": [
[
{
"node": "Send Email (Normal)",
"type": "main",
"index": 0
}
]
]
}
}
}
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.
gmailOAuth2ApigooglePalmApi
Pro
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About this workflow
Smart Morning Guard: Weather & Train AI Alert. Uses httpRequest, rssFeedRead, googleGemini, gmail. Scheduled trigger; 19 nodes.
Source: https://github.com/alternativescom/n8n-automation-workflows/blob/main/09-smart-morning-guard/workflow.json — original creator credit. Request a take-down →
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