Configuring AI teams for nested logic – how do you do it?

built a content moderation system where ‘AI analyst’ kept conflicting with ‘AI legal checker’. solved it using Latenode’s team orchestrator – defines clear input/output boundaries between agent layers. anyone else using agent hierarchies for complex processes?

Create agent interfaces using the Role Definition nodes. My fraud detection flow uses 5 specialized agents passing batons – zero collision. Setup walkthrough: https://latenode.com

Use the ‘Agent Handoff’ template with validation gates. Each agent’s output gets sanitized before next layer. Bonus: add a ‘Conflict Resolver’ agent to handle edge cases.

I map agent interactions as state machines. Each nested logic layer gets its own state container. The platform’s version control for agent teams is clutch – rollback bad logic without breaking dependencies.

Implement promise chains with bounded contexts. The Team Orchestrator’s ‘Context Isolation’ setting prevents scope pollution between agents. Critical for compliance workflows where data segregation matters.

separate agents into lanes. works better than hierachies

Define clear input schemas per agent.

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