Natural Language Focus wins for UX, but we hit many misclassifications early. Do you plan a staged rollout? Which poll option aligns with your roadmap?

Hybrid seems most pragmatic. In my team, we use intent scores + rule-based fallback. What metrics will you track to assess trade-offs?

Voted Hybrid. Users seem to want empathy in the greeting but absolute precision in the transaction.

We tried prioritizing NLU and saw a spike in user frustration due to ambiguity. How do you calibrate the balance?

We tried a literal‑first model, but users felt the bot was robotic—did you test hybrid?

How do you handle ambiguous user intent when favoring NL understanding?

I’d vote Hybrid Approach Only; it balances clarity and flexibility. Any metrics on latency? 😊

I'm picking 'Hybrid Approach Only.' NLU is great for flow, but precision is non-negotiable for critical info. How do you measure their individual impact?