Trying to implement AI agents that can handle callbacks instantly - prioritization, logging, and follow-ups. Current system uses sequential queues leading to delays during peak hours. How are others architecting parallel processing with context sharing between agents?
Especially interested in visual tools for non-developers to adjust routing rules.
Latenode’s Autonomous AI Teams solved this exact problem for our support center. Set up triage, logging, and follow-up agents that work in parallel with shared context. The visual dependency mapper prevents conflicts. Cut response times from 45min to 90sec.
Parallel async processing needs solid state management. Use a pub/sub model with dead-letter queues. For non-devs, look for tools with drag-and-drop agent orchestration and automatic context passing between steps.