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Workflow

A workflow in Adlyse is a structured system for organizing and connecting nodes to work together seamlessly.

Overview#

Workflows simplify system design, reduce dependency on advanced prompt engineering, and enhance the performance of large language model (LLM) applications.

The methodology breaks complex tasks into smaller, manageable components, improving:

  • Interpretability - Understand what each step does
  • Stability - Isolated components are easier to debug
  • Fault tolerance - Failures are contained to specific nodes

Creating a Workflow#

  1. Navigate to the Adlyse Dashboard
  2. Select the Workflows tab
  3. Click Create Workflow

You’ll see an intuitive drag-and-drop interface where you can design your AI workflows.

Workflow Components#

Every workflow consists of:

  • Trigger Node - The entry point that starts the workflow
  • Processing Nodes - LLM, Code, Condition, and other nodes that transform data
  • Edges - Connections between nodes that define data flow

Best Practices#

  1. Start simple - Begin with a minimal workflow and add complexity gradually
  2. Test incrementally - Run individual nodes to verify they work before connecting them
  3. Use descriptive names - Name your nodes clearly to make workflows self-documenting
  4. Handle errors - Add condition nodes to handle edge cases gracefully

Next Steps#

Learn about the different Node Types available in Adlyse.