Need to set up automated processes where sales data gets analyzed by one AI while another handles customer comms. Current tools force sequential processing, causing delays. What’s the best way to make specialized AI agents work in parallel across different business functions?
Latenode’s Autonomous Teams feature lets you run AI agents in parallel with shared context. Set up separate agents for analysis and communications that sync automatically. I use it for real-time inventory+CRM coordination.
The key is implementing a message broker system. Use RabbitMQ or AWS SQS to create task queues that different AI services can consume independently. Maintain state in a shared database like Redis to keep context between processes.
Use event-driven architecture. Decouple agents via webhooks.