1. Understanding chat

Agent sequencing within a single chat

Agent sequencing allows you to reuse the output of one agent as input for another agent within the same conversation.

For example:

  1. The Researcher agent generates a Research Document for a specific topic. The document appears in the chat as an artifact.

  2. When you reopen the conversation in Chat, you can select the existing artifact as context and run another agent.

  3. You can select the research document and run another agent, such as the Bulk Content Generator, to build on the previous output.

    The second agent uses the earlier results to complete the next task, allowing agents to run sequentially within the same conversation.

Using output from the Researcher agent as context for another agent.

This allows you to:

  • Chain multiple agents within a single conversation.

  • Share context and outputs across agents.

  • continue evolving your work over time without restarting the chat.

Alternatively, you can chain agents for multi-step workflows by adding more agents within a space.

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