Comment by saschabuehrle

For open-ended tasks we use embedding similarity + confidence scoring, not just format matching. If the draft response is semantically thin, it escalates. The system also learns from your actual traffic patterns, after a few hundert queries, it knows which query shapes work on which models for your specific use case.