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Introduction to Multi-Agent Systems

Discover how multiple AI agents collaborate, coordinate, and solve complex problems together

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Multi-Agent Systems In The Wild

Multi-agent systems aren't just theoretical—they're solving real problems today. From customer service to supply chains, specialized agent teams are delivering measurable value across industries.

Interactive: Application Explorer

Explore how different industries use multi-agent systems:

👥

Customer Service

Multiple specialized agents handle different aspects of customer support

Agent Team:

🎯
Triage Agent
Categorizes incoming requests
❓
FAQ Agent
Handles common questions
🔧
Technical Agent
Solves complex issues
📞
Escalation Agent
Routes to humans when needed

Workflow:

1
Customer request arrives
2
Triage categorizes issue
3
Appropriate agent handles
4
Escalate if necessary

✓ Benefits:

  • •24/7 availability
  • •Faster response times
  • •Consistent service quality
  • •Cost reduction

⚠️ Challenges:

  • •Handling edge cases
  • •Maintaining context
  • •Seamless handoffs

📊 Metrics:

response Time:< 30 seconds
resolution:85%
satisfaction:4.2/5

🎯 Implementation Tips

  • •Start with clear roles: Define each agent's specific responsibilities
  • •Build communication protocols: Establish how agents share information
  • •Monitor performance: Track metrics for each agent and the system as a whole
  • •Plan for failures: What happens when an agent is unavailable?
  • •Iterate based on data: Use real-world feedback to improve coordination
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