document-workforce

To document AI agents and their workflows, you can automatically generate detailed markdown profiles capturing agent configurations, tools, and data flow. This simplifies understanding and maintaining complex multi-agent systems.

Onboarding new team members to an AI workforce is best handled by generating comprehensive documentation that maps agent interactions, triggers, and data flow. This systematically captures operational details for easier knowledge transfer.

Yes, you can automatically extract agent configurations and data flow from the Relevance AI platform. The tool fetches platform data directly via API access to map workforce structure and generate organized documentation.

Yes, API access to the Relevance AI platform is required to generate workforce documentation. This access is necessary to fetch the underlying workforce and agent data, including triggers and workflow structures.

To visualize data flow and triggers for your AI workforce, you can use automated workforce mapping. This fetches platform data to map agent interactions and outputs structured markdown documentation in your build folder.

The generated documentation for AI workforces is output as organized markdown files. This format captures agent details, workflows, and system configurations in a designated build folder for easy sharing.