This workflow follows the Agent → Google Gemini Chat 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 →
{
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "consultant",
"responseMode": "responseNode",
"options": {
"allowedOrigins": "*"
}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
-240,
-32
],
"id": "e3650676-f3b7-4057-8321-0102caf367c2",
"name": "Webhook Trigger"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"typeVersion": 1,
"position": [
-80,
176
],
"id": "a38d9fab-79a6-40d1-b48c-78cec429fd79",
"name": "Google Gemini Chat Model",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ $json.output }}",
"options": {
"responseHeaders": {
"entries": [
{
"name": "Access-Control-Allow-Origin",
"value": "*"
}
]
}
}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1,
"position": [
352,
-32
],
"id": "0a67b4ab-4b38-4255-8f11-1f146bddbad7",
"name": "Respond to Webhook"
},
{
"parameters": {
"promptType": "define",
"text": "={{\n'CLIENT INTAKE FORM DATA:\\n' +\n'------------------------\\n' +\n'Industry: ' + $json.body.industry + '\\n' +\n'User Role: ' + $json.body.role + '\\n' +\n'Manual Process (The Problem): ' + $json.body.manual_task + '\\n' +\n'Current Tech Stack: ' + $json.body.tools + '\\n' +\n'Trigger Event: ' + $json.body.trigger + '\\n' +\n'Desired Outcome: ' + $json.body.goal + '\\n' +\n'------------------------\\n\\n' +\n'Based on this intake, design a complete automation architecture.'\n}}",
"hasOutputParser": true,
"options": {
"systemMessage": "Role: Senior Automation Architect & n8n Solutions Expert.\n\n**Goal:**\nYou are a high-end consultant. A client has described a manual, painful business process. You must analyze their specific stack and architect a robust n8n workflow to solve it.\n\n**Consulting Rules:**\n1. **Analyze the Stack:** Look at the \"Current Tech Stack\". If they list generic names (e.g., \"Email\", \"Spreadsheet\"), you MUST pick the most standard specific tool (e.g., \"Gmail\", \"Google Sheets\") for the blueprint.\n2. **Fill the Gaps:** If they want to \"Send an SMS\" but didn't list an SMS tool, YOU must recommend one (e.g., \"Twilio\").\n3. **Be Technical:** The workflow steps must be logical. Start with the specific Trigger -> Process Data -> End with the Action.\n\n**Output Schema (Strict JSON):**\nYou must output ONLY JSON. Do not include markdown formatting. Use this exact structure:\n\n{{\n \"industry\": \"Client's Industry\",\n \"business_name\": \"A creative name for their business type\",\n \"pain_point\": \"A summary of the manual bottleneck\",\n \"solution_title\": \"Professional Name for the Automation\",\n \"solution_description\": \"2-3 sentences explaining the value.\",\n \"workflow_steps\": [\n {{ \"step\": 1, \"tool\": \"Exact Tool Name (e.g. Typeform)\", \"action\": \"Specific technical action (e.g. Trigger on new submission)\" }},\n {{ \"step\": 2, \"tool\": \"n8n\", \"action\": \"Format data structure\" }}\n ],\n \"saas_stack\": [\n {{ \"name\": \"Tool Name\", \"role\": \"What it does in this flow\", \"type\": \"Native\" or \"HTTP\" }}\n ]\n}}"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3,
"position": [
0,
-32
],
"id": "94cd129d-742b-4eea-b666-00aab19ff14d",
"name": "AI Agent"
}
],
"connections": {
"Webhook Trigger": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Respond to Webhook",
"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.
googlePalmApi
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About this workflow
Ai Automation Consultant. Uses lmChatGoogleGemini, agent. Webhook trigger; 4 nodes.
Source: https://github.com/Victor7092/ai-automation-consultant/blob/main/workflow.json — original creator credit. Request a take-down →
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