Duohao Wang

Agentic Commerce World reveals that process-level evidence is crucial for accurately evaluating AI agents in dynamic market environments, challenging traditional reliance on final outcomes alone.

LLM agents fabricate product attributes in over half of their listings, but a novel reputation-penalty mechanism can significantly curb this behavior without needing access to the truth.