Teammate Node

Configure the Teammate node to invoke AI teammates for data analysis and intelligent processing.

Overview

The Teammate node invokes an existing AI teammate to process data within your workflow. Teammates have access to tools, connectors, and specialized knowledge that make them powerful for analysis, troubleshooting, and decision support.

Teammate node configuration panel Teammate node configuration panel

Configuration

To add a Teammate node to your workflow:

  1. Click Add Node and select Teammate
  2. Configure the node options

Options

Teammate

Select an existing teammate from the dropdown. The teammate must be configured in your organization before it can be used in workflows.

Prompt

Provide instructions that describe what the teammate should do with the incoming data. Be specific about what analysis to perform and what information to extract.

Use Handlebars template syntax to pass data from upstream nodes into the prompt. For example, {{{ toJson data }}} injects the full trigger payload as JSON so the teammate can reference alert details, monitor metadata, and event fields directly.

Output format

Choose how the teammate should format its response:

FormatBest for
TextOutput that feeds into another AI node or human-readable content
JSONOutput that downstream nodes need to parse for conditional branching and deterministic actions

JSON output and schema

When you select JSON output, click Edit JSON Schema to define the exact fields the teammate must return. The schema uses standard JSON Schema format to specify field names, types, descriptions, and which fields are required.

For example, a schema for incident triage might define fields for severity, affected service, and a recommended action — each with a type and description that guides the teammate’s response.

The teammate’s structured response fields become available to downstream nodes. An If/Else node can evaluate these fields to branch the workflow deterministically — for example, routing critical-severity results to an escalation path and everything else to a backlog.

This pattern separates AI reasoning from operational decisions. The teammate investigates freely using its connected tools. The JSON Schema constrains the output format. The If/Else node applies team-defined thresholds to determine what happens next.

For complete examples of this pattern, see Workflow Patterns.

When to use Teammate vs Task nodes

Use Teammate whenUse Task when
You need access to tools and connectorsYou need simple prompt-response processing
The task requires specialized domain knowledgeThe task is straightforward (summarization, classification)
You want to leverage an existing teammate’s configurationYou want a lightweight, self-contained AI step

Example use cases

Common patterns for the Teammate node:

  • Alert triage: Have a teammate analyze alert data and assess severity
  • Root cause analysis: Invoke a teammate with access to logs and metrics to diagnose issues
  • Incident summarization: Generate human-readable summaries for status updates
  • Recommendation generation: Get AI-powered suggestions for remediation steps
  • Structured triage: Return JSON with severity, confidence, and affected service fields for deterministic downstream routing