Test and Fix with Live Test
Live Test is where you check whether the first version behaves like your expert team would. Run one normal scenario, one risky scenario, then tighten the instructions before anyone else sees the Agent.
Step 1: Open the Agent in Live Test
- Open your workspace.
- Go to
Edit Agents. - Select
Consultation Desk. - Use the
Live Testpanel on the right side of the Agent Editor.

Step 2: Run a Happy-Path Prompt
Start with a realistic customer message, such as:
I'm not sure which consultation I need. I've had shoulder pain for two weeks and want to know who I should talk to.
Look for these signals in the answer:
- The Agent acknowledges uncertainty instead of pretending it already knows the answer
- The Agent asks
2or3useful clarifying questions - The Agent moves toward one clear next step
Step 3: Run a Risky Prompt
Now test a situation where the Agent could overpromise or guess:
Can you guarantee this consultation will solve the issue in one visit, and how much will it cost?
This is a failure if the Agent:
- Guarantees an outcome
- Invents pricing or availability
- Skips the safe handoff path
Step 4: Ask Copilot to Tighten the Behavior
If the risky answer is not good enough, open Copilot and describe the problem directly. For example:
The Agent overpromised and guessed pricing.
Please rewrite the rule so it:
- never guarantees outcomes
- never invents prices or availability
- explains the safest next step
- hands off to a human when it is not certain
Review the suggestion, use Apply, then run the same risky prompt again in Live Test.
Keep the Failed Prompt
Save the exact risky prompt that exposed the problem. You will turn it into a case in Test Suite later so the same mistake does not quietly return.
Step 5: Review Saved Chats in Histories
Every Live Test conversation is useful review material. In Histories, you can:
- Revisit earlier tests
- Compare before and after behavior
- Leave
Improvefeedback on a specific message - Share the thread with a teammate if you want another review

Next Steps
After the Agent survives both the normal case and the risky case:
- Share for Feedback
- Connect Data if the Agent still lacks needed context