Building AI workflows doesn’t have to be complicated. With ETLR, you can create powerful automation pipelines that integrate AI models, APIs, and data transformations—all using simple YAML configuration.

Why AI Workflows Matter

In today’s data-driven world, businesses need to process information quickly and intelligently. AI workflows enable you to:

  • Automate repetitive tasks with intelligent decision-making
  • Process data at scale without manual intervention
  • Integrate multiple services seamlessly
  • Reduce operational costs through automation

Your First ETLR Workflow

Let’s build a simple workflow that receives webhook data, processes it with AI, and sends a notification.

workflow:
  name: ai-content-processor
  description: "Process content with AI and send notifications"
  input:
    type: http_webhook
  steps:
    - type: openai_completion
      api_key: ${env:OPENAI_API_KEY}
      model: gpt-4
      prompt: "Summarise this content: ${input.text}"
      output_to: summary

    - type: slack_webhook
      webhook_url: ${env:SLACK_WEBHOOK}
      text_template: "New summary: ${summary.content}"

This workflow:

  1. Receives data via HTTP webhook
  2. Processes it with GPT-4 to create a summary
  3. Sends the result to Slack

Key Features of ETLR

Simple YAML Configuration

No need to write complex code. Define your workflows in YAML and deploy them instantly.

Built-in Connectors

ETLR provides 24+ pre-built connectors for:

  • AI models (OpenAI, Anthropic, Google Gemini)
  • Communication tools (Slack, Discord, Teams, Email)
  • CRMs (Salesforce, HubSpot)
  • Storage (S3, databases)

State Management

Data flows seamlessly between steps. Each step can access and modify the workflow state:

steps:
  - type: http_call
    url: https://api.example.com/users
    output_to: users

  - type: for_each
    input_from: users
    var: user
    steps:
      - type: openai_completion
        api_key: ${env:OPENAI_API_KEY}
        model: gpt-4
        prompt: "Generate a personalised message for ${user.name}"
        output_to: message
      
      - type: resend_email
        api_key: ${env:RESEND_API_KEY}
        from_email: [email protected]
        to: ${user.email}
        subject: "Welcome!"
        html: ${message.content}

Environment Variables

Securely manage API keys and configuration:

steps:
  - type: openai_completion
    api_key: ${env:OPENAI_API_KEY}  # Stored securely
    model: gpt-4

Real-World Use Cases

1. Content Moderation

Automatically review user-generated content using AI before publishing.

2. Customer Support Automation

Route support tickets to the right team and generate AI-powered responses.

3. Data Enrichment

Enhance your CRM data with AI-generated insights and external API data.

4. Sentiment Analysis Pipeline

Process customer feedback at scale and identify trends automatically.

Getting Started

  1. Sign up at app.etlr.io
  2. Create your first workflow using our template library
  3. Deploy instantly and start processing data

Ready to build intelligent automation? Get started with ETLR today and join hundreds of teams automating their workflows with AI.

Next Steps