Agent Roles & Specialization
Master specialized agent roles and build effective multi-agent teams
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0 / 5 completedKey Takeaways & Summary
You've explored how specialized agent roles form the foundation of effective multi-agent systems. Here are the essential concepts to remember as you design your own agent teams.
Specialization Beats Generalization
Agents with focused roles outperform generalist agents through deeper expertise, optimized prompts, and targeted tool access.
The Core Four Framework (RPEC)
Researcher, Planner, Executor, and Critic form the foundation of most multi-agent systems, covering the complete problem-solving workflow.
Task-Driven Role Allocation
Different tasks require different role emphasis. Research-heavy tasks need more Researcher effort; implementation tasks need strong Executor presence.
Role Evolution with Complexity
Roles grow more sophisticated as tasks become complex—from basic execution to multi-step workflows with fallback strategies.
Synergy Over Quantity
Team effectiveness comes from complementary roles working together, not from adding more agents. Quality connections matter more than team size.
Complete Workflow Coverage
Effective teams ensure all phases are covered: information gathering → strategy design → implementation → quality review.
Avoid Redundancy
Multiple agents with identical roles create coordination overhead without improving outcomes. Specialize or scale intentionally.
Balance vs. Specialization Trade-off
Some tasks need balanced role distribution (25% each); others benefit from heavy specialization (50%+ in one role).
🎯 Practical Action Steps
Map your task requirements: Identify which phases (research, planning, execution, review) are most critical
Start with the core four: Build Researcher, Planner, Executor, and Critic as your foundation
Allocate effort strategically: Assign more resources to critical phases based on task complexity
Test role synergy: Verify that your team composition creates complementary strengths, not redundancy
Iterate and refine: Monitor team performance and adjust role allocation based on results
The Complete RPEC Workflow
🚀 What's Next?
Now that you understand agent roles and specialization, the next step is learning how multi-agent teams reach consensus when agents disagree. Explore decision-making strategies, voting mechanisms, and conflict resolution in the next module.