Braintrust Launches Multi-Turn AI Conversation Evaluation Tools to Expose Hidden Chatbot Failures
Summary
Braintrust launches multi-turn AI conversation evaluation tools that expose hidden chatbot failures—like repeated questions and contradictions—by scoring both individual responses and full conversations at scale in production.
Key Points
- Evaluating multi-turn AI conversations requires both single-turn and full-conversation scoring, as individual response quality alone cannot reveal failures like unresolved issues, repeated questions, or contradictions across a chat session.
- Developers can log structured multi-turn conversations to Braintrust using just a few lines of code, grouping all turns under a single trace to enable conversation-level analysis alongside per-turn metrics powered by LLM-as-a-judge scorers.
- Braintrust's online scoring and Topics features automate evaluation at scale in production, allowing teams to continuously score live conversations and cluster them by theme to pinpoint where their AI chatbot is underperforming and needs improvement.