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Tutorial6 min readMarch 10, 2026

Building Automated Workflows with AI Pipelines

AI workflows combine multiple AI steps into automated pipelines that process data, generate content, and make decisions -- all without manual intervention. Here is how to build your first one.

What is an AI Workflow?

An AI workflow is a sequence of AI-powered steps that transform input data into useful output. For example: extract text from a document, summarize it, translate it into another language, and email the result to a stakeholder -- all triggered by a single API call or webhook.

Step 1: Define Your Pipeline

Start by mapping out the steps your workflow needs. Each step should have a clear input and output. Common step types include:

Step 2: Choose Your Models

Different steps may benefit from different AI models. Use GPT-4o for general generation, Claude for long-document analysis, and Gemini for multimodal inputs. WhiteLifeAI lets you specify the model per step or use automatic routing.

Step 3: Build with the API

Use the WhiteLifeAI Workflows API to define and execute your pipeline:

POST /v1/workflows
{
  "name": "document-processor",
  "steps": [
    { "action": "extract_text", "input": "{{url}}" },
    { "action": "summarize", "model": "claude" },
    { "action": "translate", "target": "ko" }
  ]
}

Step 4: Test and Deploy

Test your workflow with sample data in the Playground, then activate it for production use. Set up triggers (webhook, schedule, or manual) to run the workflow automatically.

Real-World Examples

Ready to build your first workflow? Start with WhiteLifeAI for free.