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Author: penguine-ip

docs/content/docs/introduction.mdx

@@ -23,7 +23,7 @@ import {
 - Unit test LLM outputs with Pytest-style assertions.
 - Use 50+ ready-to-use metrics, including LLM-as-a-judge, agent, tool-use,
   conversational, safety, RAG, and multimodal metrics.
-- Evaluate AI agents, MCP systems, chatbots, LLM arenas, RAG pipelines, and
+- Evaluate AI agents, conversational agents (chatbots), RAG pipelines, MCP systems, and
   other custom workflows.
 - Run both end-to-end evals and component-level evals with tracing.
 - Generate synthetic datasets for edge cases that are hard to collect manually.