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  • Consensus Is Not Correctness

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  • Handoffs Preserve Context and Ownership

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  • Retrieval Evaluation Separates Recall From Answer Quality

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Concept

Evaluate the Team and Its Interfaces

A multi-agent evaluation measures task outcome, handoff loss, coordination overhead, correlated errors, unauthorized actions, and graceful degradation. Strong individual scores do not guarantee a strong team.

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Updated 2026-08-13

Contributors are:

IY
Iman YeckehZaare
🏆 1

References


  • Artificial Intelligence Risk Management Framework (AI RMF 1.0) — Graph Engineering Course Source

  • AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation — Graph Engineering Course Source

Tags

AI Agent Graph Engineering

Graph Engineering for AI Agents

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  • Distributed Consensus Orders Shared Decisions

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  • Evaluate the Team and Its Interfaces

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  • In this situation—five model agents agreeing on an invented citation—which choice best applies “Consensus Is Not Correctness”?

  • Escalation Routes Uncertainty to the Right Human

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  • Evaluate the Team and Its Interfaces

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  • In this situation—moving a technical support case to a human specialist—which choice best applies “Handoffs Preserve Context and Ownership”?

  • Timeouts and Cancellation Bound Wasted Work

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  • Evaluate the Team and Its Interfaces

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  • In this situation—testing a handbook assistant with known relevant and restricted sections—which choice best applies “Retrieval Evaluation Separates Recall From Answer Quality”?

Learn After
  • Emergent Agent Communication Requires Interpretability Tests

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  • Evaluation Corpora Must Represent Real Routes

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  • In this situation—comparing a research team with a single-agent baseline—which choice best applies “Evaluate the Team and Its Interfaces”?

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