Skip to main content
This node is in beta. Its behavior may change in future releases.
The Prompt action node runs a free-form AI instruction over your pipeline data and returns structured, typed JSON that matches a schema you define. Use it when you need the model to reason, summarize, classify, or synthesize a value that a fixed extraction schema cannot express on its own.

​
When to use Prompt

  • You want to derive a new value from already-extracted data: a risk score, a one-line summary, a normalized category, a computed recommendation.
  • You need AI judgment over the document or upstream output, not a literal field pulled from the page. Use Extract when the value is present on the document; use Prompt when it must be inferred.
  • You want the result as typed JSON you can reference downstream, not free text. The output schema guarantees the shape.

​
Configuration

The instruction and output schema are both required at run time. A Prompt node with either one blank fails validation and cannot be activated.

​
Output

The result is typed JSON that matches your Output Schema, available to downstream nodes under the node’s payload. Reference a field as {{promptNodeName.payload.<field>}}, where promptNodeName is the node’s name in your pipeline. For example, with an output schema defining riskLevel (string) and reasons (array of strings), a downstream node can read {{prompt.payload.riskLevel}} and {{prompt.payload.reasons}}.

​
Inputs and outputs

Allowed inputs: action nodes only, including Extract, Parse, Classify, Route, Merge, Transform, Review, HTTP, Loop, Variable, Store, Reconcile, and another Prompt node. Connect a Prompt node after the step that produces the data you want the model to reason over. Output: a payload object shaped by your output schema.

​
Credits

Prompt nodes bill by Precision, a flat cost each time the node runs (not per page):
  • Small: 1 credit
  • Medium: 2 credits
  • High: 6 credits
See credits for the full per-node pricing breakdown.

Extract action

Pull structured data that is present on the document

Transform action

Reshape or script-process data without AI

Schema design

Design the output schema that shapes the result

Expressions and filters

Template syntax for the instruction field