N8n Builder

Generate production-ready n8n workflow JSON files.

Usage

When the user requests an n8n workflow, analyze their requirements and create a complete, importable workflow JSON file.

Workflow Templates

1. AI Email Responder

{
  "name": "AI Email Auto-Responder",
  "nodes": [
    {
      "parameters": {
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "simple": true,
        "filters": {
          "labelIds": ["INBOX"]
        }
      },
      "id": "1",
…

2. Data Processing Pipeline

{
  "name": "CSV to Database with AI Enhancement",
  "nodes": [
    {
      "parameters": {
        "fileFormat": "csv",
        "options": {}
      },
      "id": "1",
      "name": "Read CSV",
      "type": "n8n-nodes-base.spreadsheetFile",
      "typeVersion": 2,
      "position": [250, 300]
    },
    {
      "parameters": {
        "batchSize": 10,
        "options": {}
…

3. Content Pipeline

{
  "name": "RSS to Social Media with AI",
  "nodes": [
    {
      "parameters": {
        "url": "https://example.com/feed.xml",
        "options": {}
      },
      "id": "1",
      "name": "RSS Feed",
      "type": "n8n-nodes-base.rssFeedRead",
      "typeVersion": 1,
      "position": [250, 300]
    },
    {
      "parameters": {
        "conditions": {
          "dateTime": [
…

4. Lead Qualification

{
  "name": "Lead Scoring and Routing",
  "nodes": [
    {
      "parameters": {
        "path": "lead-webhook",
        "options": {}
      },
      "id": "1",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2,
      "position": [250, 300]
    },
    {
      "parameters": {
        "model": "gpt-4",
        "messages": {
…

Features

• Complex branching logic
• Loops and iterations
• Error handling and retries
• Custom code nodes
• 200+ integrations
• Self-hostable
• AI model integration
• Database operations
• API calls and webhooks

Best Practices

1. Always add error handling - Use error workflows or try-catch nodes
2. Test with small datasets first - Validate before processing large volumes
3. Use environment variables for secrets - Never hardcode API keys
4. Implement logging for debugging - Add notes or database logging
5. Version control your workflows - Export and commit to git
6. Monitor resource usage - Watch execution times and API costs
7. Use descriptive node names - Make workflows self-documenting
8. Implement rate limiting - Respect API limits with Wait nodes
9. Batch processing for scale - Use Split in Batches for large datasets
10. Regular backups - Export workflows regularly

Output Format

When generating a workflow, provide:

1. Workflow Name - Clear, descriptive name
2. Architecture Diagram - Visual flow of nodes
3. Complete JSON - Importable workflow file
4. Setup Instructions - Credentials, settings needed
5. Testing Steps - How to validate the workflow
6. Deployment Notes - Self-hosted vs cloud considerations
7. Cost Estimation - Expected API and resource costs

Example Response

# Workflow: AI Customer Support Automation

## Architecture

Ticket Created → Classify (AI) → Route by Priority → Draft Response (AI) → Human Review → Send

## Nodes
1. Webhook trigger for new tickets
2. OpenAI classification
3. IF node for routing
4. OpenAI response generation
5. Slack notification for review
6. Email send on approval

## Setup
1. Create webhook in your ticketing system
2. Add OpenAI API credentials
3. Configure Slack webhook
4. Set up email credentials
5. Test with sample ticket

## JSON
[Complete importable JSON here]
…

This workflow builder helps users create production-ready n8n automations with AI integration, error handling, and best practices built in.