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[Re]train

[Re]train chatbots that actually help.

Tone, accuracy, and escalation — scored on real conversations, not synthetic tests. Your chatbot improves on the interactions that matter to your customers.

0.89
+12%
Tone score after training
support-agent-v3
0.91
+8%
Answer accuracy
support-agent-v3
3%
−73%
Refusal rate
Down from 11%
0.85
Escalation precision
Low false-positive rate
[Re]train

Customers get answers that sound like your team wrote them.

Professional, empathetic, brand-consistent. The trainer evaluates tone against your style guide and improves it iteratively — not by rewriting prompts, but by adjusting the full agent configuration until scores rise.

Chatbot eval · support-agent-v3
Tone
0.89
Accuracy
0.91
Refusal rate
0.97
Escalation
0.85
Resolution
0.82
Weighted 0.88
Training progress
1.0 0.0 iterations
[Re]train

Every answer grounded in your docs. Nothing made up.

Every answer is scored against your product documentation, policy library, and known-good responses. Accuracy improves iteration by iteration — visible in the training curve.

[Re]train

Hands off to humans at the right moment.

Escalation is scored as a precision problem: too many hand-offs waste agent time, too few frustrate customers. The trainer optimizes for the right threshold — measured on real conversation patterns.

0.85
+15%
Escalation precision
0.82
+9%
First-contact resolution
3%
−68%
False-positive escalation
0.97
✓ pass
Refusal appropriateness