How do you scale multi-agent intelligence without ballooning latency or costs? We built a system on Elastic using specialist agents coordinated through Workflows and Agent Builder.. We refined performance by adopting "Liquid Agent" patterns—offloading lookups to Workflows to slash token usage—and using a "measure-don’t-guess" methodology to cut latency. We also implemented granular token usage tracking within workflow indexes to enable deep historical analysis. Join us to learn how these strategies can optimize your own agent deployments for superior efficiency and observability.
