Benchmark conversational agents across stylistic expressiveness, goal completion, and alignment to identify the right fit for complex deployments.
1. **Match agent profiles to use cases:** A high-empathy agent may be ideal for customer care, while a highly deterministic planner fits operations control rooms.
2. **Blend strengths:** Some teams run a stylistically strong agent for user-facing messaging and a goal-focused agent for internal orchestration; design handoffs carefully.
3. **Tune prompts and policies:** If an agent over-indexes on positivity, adjust system instructions to incorporate nuance and caution where appropriate.
4. **Plan retraining cycles:** Prioritize data collection on failure modes uncovered in the benchmark (e.g., languages with lower sentiment alignment).