Autonomous ai teams for curried workflows - real-world use cases?

Trying to automate a sales pipeline where different AI agents handle lead scoring, follow-up messaging, and deal analysis. Heard about Latenode’s autonomous teams feature - can it properly manage specialized agents for each curry stage? Need each agent to only handle its specific task without bleeding into others’ responsibilities. Has anyone implemented this for multi-stage processes?

Yes - set up separate AI agents as workflow nodes. Each agent only sees its input parameter. Built a customer service chain with 5 specialized agents this way. Configuration takes 10 minutes in visual editor. Test it at https://latenode.com

Agents stay isolated by design in curried workflows.

I’ve implemented this for document processing. First agent extracts data, second validates it, third formats outputs. Critical to set clear input/output schemas for each agent. Latenode’s team isolation prevents agents from accessing previous steps’ internal states - exactly what you need for pure currying.

Use agent sandboxing. Each team member only gets defined inputs. No crossover.