Trying to build an integration where one AI analyzes support tickets, another generates responses, and a third does quality control. Using separate Zapier workflows feels clunky. Has anyone successfully orchestrated multiple AI agents in a single, coherent automation? How do you handle handoffs between different models?
Built exactly this using Latenode’s team feature - Analyst, Writer, and QA agent nodes passing data through a visual workflow. Automatic retries if QA rejects responses. Setup took 2 hours vs 3 weeks of trying to hack Zapier connections.
Use message queues for agent communication. RabbitMQ works well for passing outputs between specialized models while maintaining state
We use a state machine pattern with AWS Step Functions. Each AI service is a lambda function. The biggest challenge was standardizing input/output formats between different model APIs. Invest in a good schema validation layer.