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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AI Agent Graph Engineering
Graph Engineering for AI Agents
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Distributed Consensus Orders Shared Decisions
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
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
In this situation—testing a handbook assistant with known relevant and restricted sections—which choice best applies “Retrieval Evaluation Separates Recall From Answer Quality”?
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Related
Distributed Consensus Orders Shared Decisions
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
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
In this situation—testing a handbook assistant with known relevant and restricted sections—which choice best applies “Retrieval Evaluation Separates Recall From Answer Quality”?