expert-usage-guide

Routing creative tasks requires a clear task description to match input requirements against available expert capabilities. The system evaluates your objective and selects the most suitable expert for the job.

Expert chaining is the process of outlining how multiple experts collaborate sequentially to achieve complex creative objectives. It connects separate tasks like image segmentation, search, and prompt extraction into a unified workflow.

To structure invoke_agent calls, you use defined parameter contracts to build structured JSON payloads. This ensures the correct data format is passed to the selected expert during task execution.

Yes, expert routing directly supports image and video grounding tasks. The strategy applies to image, video, search, segmentation, and knowledge tasks by selecting the appropriate expert for each operation.

Yes, a defined parameter contract is required for expert chaining to prepare the correct invoke_agent payload. It ensures structured JSON data passes correctly between collaborating experts in the workflow.

The best way to plan a multi-expert campaign is to define expert directions and use routing to decide the optimal execution sequence. This approach identifies the correct experts and structures their collaboration to meet complex objectives.