Passing Data

In puq.ai, data is created and propagated automatically throughout the lifecycle of a workflow.

How Data Is Created

Data can originate from multiple sources within a workflow:

• A Trigger (for example, a webhook, schedule, or event)
• A Node output (such as an API response, database query, or file read)
• A manipulated value created through parameter mapping or transformations

As soon as data is created, it becomes part of the workflow execution context.

Workflow Lifecycle and Data Flow

Once data exists:

• It remains alive for the entire execution lifecycle
• It is not destroyed or reset between steps
• It is automatically passed from the originating node to all subsequent nodes

You do not need to manually forward data between steps — puq.ai handles this implicitly.

Using Data in Other Nodes

Any node that runs after the data is created can access it:

• You can reference data in input fields using the data selector
• You can transform or reshape data using parameter mapping
• You can reuse the same data in multiple nodes without duplication

This makes it easy to build complex workflows where information flows naturally from triggers to actions, logic, and outputs.

Key Takeaway

Data in puq.ai behaves like a shared execution context:

• Created once
• Available everywhere downstream
• Automatically managed

This design keeps workflows clean, predictable, and easy to maintain.