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The AI Task node makes a call to a language model (LLM) to process information and return a structured result. Unlike the AI Agent node, which maintains a continuous conversation with the user, the AI Task executes a targeted task and returns its result without interacting directly with the user.

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When to use AI Task vs AI Agent

ScenarioRecommended node
Converse with the user autonomouslyAI Agent
Classify a message into categoriesAI Task
Extract data from text (name, date, amount)AI Task
Summarize information to make a decisionAI Task
Generate a response based on extensive contextAI Agent

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Configuration

AI Task uses the same configuration fields as the AI Agent:
  • Model: LLM to use
  • Instructions: Prompt that defines what task to execute
  • Temperature: Creativity control (0 = precise, 1 = creative)
  • Knowledge bases: Documents and datastores for context
  • MCPs and Tools: Available external tools
See model and instructions configuration details

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Key difference: structured response

The AI Task does not need the end_function function like the AI Agent. Instead, it directly returns a result in JSON format that you can save in memory to use in subsequent nodes (for example, in a Conditional node). Instructions: The result is saved in memory and you can use a Conditional node to direct the flow based on the detected category.