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": {
"mode": "raw",
"jsonOutput": "{\n\"categoriesArray\": \n [\n {\n \"id\": \"SALES_INQUIRY\",\n \"name\": \"Sales Inquiry\",\n \"description\": \"The user is asking about pricing, features, demos, or how to buy the product/service.\"\n },\n {\n \"id\": \"SUPPORT_REQUEST\",\n \"name\": \"Support Request\",\n \"description\": \"The user is an existing customer having a problem, reporting a bug, or asking how to use a feature. This includes questions related to DigitalOcean products.\"\n },\n {\n \"id\": \"GENERAL_QUESTION\",\n \"name\": \"General Question\",\n \"description\": \"The user is asking a general question that does not fit into the other categories.\"\n }\n ]\n}",
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
416,
0
],
"id": "d8851a0f-94d9-4014-9722-49ab6381152b",
"name": "Define inquiry categories"
},
{
"parameters": {
"jsCode": "// Get the incoming item which contains our data\nconst item = $input.first().json;\n\n// Get the array from the 'categoriesJson' field\nconst categories = item.categoriesArray;\n\n// Format the array into a clean text block for the LLM prompt\nconst promptCategories = categories.map(cat => {\n return `- ${cat.id}: ${cat.description}`;\n}).join('\\n');\n\n// Add the new prompt string as a field to the item\nitem.promptCategories = promptCategories;\n\n// Return the modified item\nreturn item;"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
624,
0
],
"id": "63328fd3-f6e6-424c-ad09-b8db85630f03",
"name": "Add inquiry categories string"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "3af75694-de95-489f-ac87-d9ba1f28971b",
"name": "category",
"value": "={{ $('Extract and format LLM response (Inquiry type)').item.json.category }}",
"type": "string"
},
{
"id": "c51d48e8-54c3-4fd3-9003-c5c348917067",
"name": "inquirySummary",
"value": "={{ $('Extract and format LLM response (Inquiry type)').item.json.summary }}",
"type": "string"
},
{
"id": "e38b8259-18ac-41f1-a6dc-7a51d60f44bc",
"name": "inquiry",
"value": "={{ $('On form submission').item.json['What can we help you with? The more details you provide, the better we can help!'] }}",
"type": "string"
},
{
"id": "4ca5a1b6-1bbc-4352-838e-47300641e7c6",
"name": "inquirerName",
"value": "={{ $('On form submission').item.json.Name }}",
"type": "string"
},
{
"id": "14a78489-d35c-4e24-aeca-b56b4dc08e2d",
"name": "inquirerCompany",
"value": "={{ $('On form submission').item.json.Company }}",
"type": "string"
},
{
"id": "ca0ac42e-7964-4ee4-a322-840c9c159912",
"name": "inquirerContactEmail",
"value": "={{ $('On form submission').item.json['Where can we reach you?'] }}",
"type": "string"
},
{
"id": "1e581d3a-e3d1-4a20-b5f6-9a839e4c0733",
"name": "inquirySubmissionTime",
"value": "={{ $('On form submission').item.json.submittedAt }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1232,
0
],
"id": "3f97b7be-9631-4f36-a7d0-f7d3ddc51946",
"name": "Rename fields for interface adherence"
},
{
"parameters": {
"jsCode": "let contentString = $input.first().json.choices[0].message.content;\n\ncontentString = contentString.replace(/```(?:json)?\\n?/, \"\").replace(/```$/, \"\").trim();\n\nconst parsedJson = JSON.parse(contentString);\n\n// Returning the parsed object so it becomes the new output\nreturn parsedJson;"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1024,
0
],
"id": "e8acdfcd-a05d-4ed2-beac-ba868108bdb9",
"name": "Extract and format LLM response (Inquiry type)"
},
{
"parameters": {
"model": "anthropic-claude-opus-4",
"prompt": "=You are an expert administrative assistant responsible for analyzing and routing inbound inquiries. Your task is to analyze the following message from a contact form.\n\nBased on the message content, you must perform two tasks:\n1. **Categorize the Inquiry:** Classify the message into ONE of the following categories:\n--- CATEGORIES ---\n{{ $json.promptCategories }}\n--- END CATEGORIES ---\n\n2. **Summarize the Inquiry:** Provide a concise, one-sentence summary of the user's core request.\n\nReturn your complete analysis as a single, clean JSON object with the keys \"category\" and \"summary\". Include only this JSON object in your response, and no other text or preamble. Here is an example of an output string\n--- OUTPUT EXAMPLE ---\n{\\n \"category\": \"SALES_INQUIRY\",\\n \"summary\": \"The user is seeking guidance on migrating their application's backend infrastructure to DigitalOcean, specifically regarding Managed Databases and App Platform offerings, to achieve a more streamlined and cost-predictable solution.\"\\n}\n--- END OUTPUT EXAMPLE ---\n\nHere is the inbound message:\n--- INBOUND MESSAGE ---\nNAME: {{ $('On form submission').item.json.Name }}\nCOMPANY: {{ $('On form submission').item.json.Company }}\nINQUIRY: {{ $('On form submission').item.json['What can we help you with? The more details you provide, the better we can help!'] }}\n--- END INBOUND MESSAGE ---",
"options": {
"maxTokens": 2048,
"temperature": 0.7
},
"requestOptions": {}
},
"type": "@digitalocean/n8n-nodes-digitalocean-gradient-serverless-inference.digitalOceanGradientServerlessInference",
"typeVersion": 1,
"position": [
816,
0
],
"id": "291a7418-31bf-4431-8a56-9d5662a15540",
"name": "Determine inquiry type",
"credentials": {}
},
{
"parameters": {
"errorMessage": "Form submission not categorized as valid inquiry type"
},
"type": "n8n-nodes-base.stopAndError",
"typeVersion": 1,
"position": [
1392,
320
],
"id": "735da263-1e4b-45af-a5e6-a71564193827",
"name": "Inquiry categorization error"
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"leftValue": "={{ $json.category }}",
"rightValue": "={{ $('Define inquiry categories').item.json.categoriesArray[0].id }}",
"operator": {
"type": "string",
"operation": "equals"
},
"id": "b75101b0-807d-4944-8a74-fe7ae33aefd2"
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "Sales inquiry"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "ecb30a1e-013e-4409-93f6-179cb60ed3d6",
"leftValue": "={{ $json.category }}",
"rightValue": "SUPPORT_REQUEST",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "Support inquiry"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "132a032a-5bcc-4a10-ab52-da69e4d40f45",
"leftValue": "={{ $json.category }}",
"rightValue": "GENERAL_QUESTION",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "General inquiry"
}
]
},
"options": {
"fallbackOutput": "extra"
}
},
"type": "n8n-nodes-base.switch",
"typeVersion": 3.2,
"position": [
1424,
-32
],
"id": "0215699d-b346-4552-9d1a-3dfc4f986220",
"name": "Switch for sub-workflow routing by category"
},
{
"parameters": {
"formTitle": "Contact us",
"formDescription": "Let us know how we can help!\n\nLeave your information and our team will get back to you",
"formFields": {
"values": [
{
"fieldLabel": "Name",
"placeholder": "John Smith",
"requiredField": true
},
{
"fieldLabel": "Company",
"placeholder": "DigitalOcean"
},
{
"fieldLabel": "What can we help you with? The more details you provide, the better we can help!",
"fieldType": "textarea",
"placeholder": "I'm looking for information about ...",
"requiredField": true
},
{
"fieldLabel": "Where can we reach you?",
"fieldType": "email",
"placeholder": "johnsmith@digitalocean.com",
"requiredField": true
}
]
},
"options": {
"appendAttribution": false
}
},
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.3,
"position": [
208,
0
],
"id": "43972e60-0781-48b9-848e-fb0154da2e38",
"name": "On form submission"
}
],
"connections": {
"Define inquiry categories": {
"main": [
[
{
"node": "Add inquiry categories string",
"type": "main",
"index": 0
}
]
]
},
"Add inquiry categories string": {
"main": [
[
{
"node": "Determine inquiry type",
"type": "main",
"index": 0
}
]
]
},
"Rename fields for interface adherence": {
"main": [
[
{
"node": "Switch for sub-workflow routing by category",
"type": "main",
"index": 0
}
]
]
},
"Extract and format LLM response (Inquiry type)": {
"main": [
[
{
"node": "Rename fields for interface adherence",
"type": "main",
"index": 0
}
]
]
},
"Determine inquiry type": {
"main": [
[
{
"node": "Extract and format LLM response (Inquiry type)",
"type": "main",
"index": 0
}
]
]
},
"Switch for sub-workflow routing by category": {
"main": [
[],
[],
[],
[
{
"node": "Inquiry categorization error",
"type": "main",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[]
]
}
},
"meta": {
"templateCredsSetupCompleted": true
}
}
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Inquiry-Agent. Uses @digitalocean/n8n-nodes-digitalocean-gradient-serverless-inference, stopAndError, formTrigger. Event-driven trigger; 8 nodes.
Source: https://github.com/do-community/n8n-crash-course/blob/main/lessons/lesson_3/inquiry-agent.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Inquiry-Agent. Uses @digitalocean/n8n-nodes-digitalocean-gradient-serverless-inference, stopAndError, googleDocs, gmail. Event-driven trigger; 59 nodes.
@Digitalocean/N8N Nodes Digitalocean Gradient Serverless Inference, Stop And Error, Google Docs +4
Inquiry-Agent. Uses @digitalocean/n8n-nodes-digitalocean-gradient-serverless-inference, stopAndError, googleDocs, gmail. Event-driven trigger; 40 nodes.
@Digitalocean/N8N Nodes Digitalocean Gradient Serverless Inference, Stop And Error, Google Docs +3
This workflow collects your product and ICP details via an n8n form, starts an Agent Jesse research job to find matching companies or people, polls until results are ready, and outputs a scored lead l
Form Trigger, HTTP Request, Stop And Error
ComfyUI: wan 2.2 14b - image 2 video. Uses formTrigger, httpRequest, stopAndError. Event-driven trigger; 14 nodes.
Form Trigger, HTTP Request, Stop And Error
ComfyUI: wan 2.2 5b - image 2 video. Uses formTrigger, httpRequest, stopAndError. Event-driven trigger; 14 nodes.
Form Trigger, HTTP Request, Stop And Error