Skip to content

Agent Teams

Why inspection needs an Agent Team—not one all-powerful chat box

Good collaboration is not more Agents speaking at once. It is clear inputs, outputs and stopping rules for each role.

About 1 min read

Back to the journal

Detection, standards, conflict review and learning governance solve different problems. Specialization improves traceability but also creates coordination cost.

Organize collaboration by responsibility

Inspection is already a team activity: operators capture, inspectors define defects, owners resolve anomalies and quality leaders study trends. One model can blur grounding, rules and decisions. Agent Teams split the work into explicit roles such as evidence detection, standards checking, conflict review and coordination.

Turn research into bounded workflows

AutoGen studies tool-using multi-agent conversations, while AutoIAD applies manager-driven agent collaboration to the industrial anomaly-detection development pipeline. These papers are architectural inspiration, not evidence that more Agents are automatically better. Unclear roles duplicate interpretation and amplify communication overhead.

Require evidence, permissions and human exits

EPOVIS therefore emphasizes constraints: each Agent reads only what its role needs, every conclusion carries evidence and rules, and conflicts or high-risk uncertainty stop automation for human review. The user should receive a clear inspection item and next action, not a transcript of model debate.

Academic sources

  1. AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent ConversationarXiv

    A general framework for multi-agent conversation, tools and workflow orchestration.

  2. AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly DetectionarXiv

    Manager-driven multi-agent collaboration for industrial anomaly-detection development.