Our summary
The author shows how to check if an AI assistant wrote a good customer support message. Instead of writing a new answer, an AI tool called Jev chooses from a list of options. This helps businesses catch unsafe or incomplete drafts before they reach a real person.
You give the software the customer request, the true facts, and the draft reply. The tool picks the best category, like whether the reply is ready to send or needs work. The system saves this choice along with a score showing how certain the software was.
This setup is useful for teams managing automated messages, but the certainty score does not guarantee the choice is correct. You must test the tool with your own examples to find a good cutoff point for asking a human to check the work.
Key takeaways
- Group the customer request, the true facts, and the draft reply together for the software to review.
- Create clear categories for unsafe claims, incomplete answers, and messages that are ready to send.
- Save the software certainty scores to help you decide which messages need a human to check them.