Advanced• 45 minutes

AI-Powered Content Generation

Use AI models to automatically generate and process content with AEAO automations.

What You'll Build

In this tutorial, you'll learn how to:

Create automations that use AI models for content generation
Configure AI model parameters and prompts
Process and store AI-generated content
Batch generate content for multiple items
Integrate AI content generation into your workflows

Prerequisites

Before You Start

✅ A Sematryx account with AI features enabled
✅ Understanding of AI model concepts
✅ Familiarity with prompt engineering

Step 1: Create AI Content Generation Automation

Create an automation that uses AI models to generate content:

Create AI content generation automation

curl -X POST https://api.sematryx.com/v1/automations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "ai-content-generator",
    "trigger": {
      "type": "webhook"
    },
    "actions": [
      {
        "type": "ai_generate",
        "config": {
          "model": "claude-3-sonnet",
          "prompt": "Generate a product description for: {{trigger.body.product_name}}",
          "max_tokens": 500,
          "temperature": 0.7
        }
      },
      {
        "type": "store",
        "config": {
          "destination": "database",
          "table": "product_descriptions"
        }
      }
    ]
  }'

AI Configuration Options

model: AI model to use (claude-3-sonnet, gpt-4, etc.)
prompt: The prompt template for content generation
max_tokens: Maximum length of generated content
temperature: Creativity level (0.0-1.0)

Step 2: Using the Python SDK

Create AI automations programmatically:

Create AI automation with Python

from sematryx import SematryxClient

client = SematryxClient(api_key='your-api-key')

# Create AI content generation automation
automation = client.automations.create(
    name='ai-content-generator',
    trigger={'type': 'webhook'},
    actions=[
        {
            'type': 'ai_generate',
            'config': {
                'model': 'claude-3-sonnet',
                'prompt': 'Generate a product description',
                'max_tokens': 500
            }
        }
    ]
)

Step 3: Batch Content Generation

Generate content for multiple items efficiently:

Batch content generation

# Generate content for multiple products
products = ['Product A', 'Product B', 'Product C']

for product in products:
    result = client.automations.trigger(
        automation_id='auto_1234567890',
        input_data={'product_name': product}
    )
    print(f'Generated content for {product}')

Use Cases

Product Descriptions

Automatically generate SEO-optimized product descriptions for e-commerce catalogs.

Content Summarization

Summarize long-form content into concise summaries for newsletters or reports.

Email Personalization

Generate personalized email content based on user data and preferences.

Social Media Posts

Create engaging social media content tailored to different platforms and audiences.

🎉 Next Steps

You've learned how to use AI for content generation! Explore more:

→ Learn enterprise workflow patterns → Explore the full API documentation