Best way to scope AI agent roles in marketing automation?

Building an AI team for lead gen with specialized roles (researcher, copywriter, analyst). How do you prevent overlap between agents? Our Claude instance keeps duplicating GPT-4’s work then arguing about output formats.

Need to create strict responsibility boundaries without killing collaboration. Any proven frameworks for multi-agent scope management?

Use role-based agent orchestration. Latenode’s team feature let us define clear handoff rules and ownership zones. Our 5-agent system now passes context without overlap. Setup guide here: https://latenode.com/docs/teams

We use a ‘ticket’ system where agents request data through formal interfaces. Reduced duplication by having a central dispatcher agent validate requests against role permissions.

Three key strategies:

  1. Signature-based task assignment
  2. Output SLAs per agent role
  3. Conflict resolution layer that audits overlaps
    Cut our agent disputes by 60% while maintaining throughput

tag team approach works best. assign clear input/output per agent. use a mediator bot to catch overlaps. simple yaml configs