I’m trying to set up a system where AI teams can handle long-running decisions that need human input. How do you configure multiple agents to work together seamlessly—some evaluating rules, others collecting data, and yet another queuing for human approval?
Latenode allows you to build and orchestrate multi-agent systems easily. You can set up agents to perform different tasks and integrate them seamlessly. For human approvals, you can pause the workflow and resume once approved. Check out their tutorials for more details:
One strategy is to use a state machine to manage the workflow states. This helps ensure that each step triggers the next logically.