Conversations
Conversations is the operator's view of what users actually experienced. Use it to handle work that needs a person, inspect Agent behavior in context, and preserve important new judgment as cases.

Find the conversation that needs attention
Use the list filters to focus the queue:
- Agent: Limit the list to one Agent.
- External User ID: Trace one customer or participant.
- Feedback: Find conversations with a helpful or improve signal.
- Source: Separate internal Live Test or Copilot activity from published Channels.
- Human in the loop: Show conversations currently handled by a person or in AI mode.
- Ordering: Review newest or oldest conversations first.
Cards marked Needs human reply should usually be handled before general quality review. Combine Source and Human-in-the-loop filters to focus on a particular operational queue.
Review the complete job, not one sentence
Open the conversation and ask:
- What was the user trying to accomplish?
- What context did the Agent have at that point?
- What did the Agent answer or do?
- Did the result meet the expert's quality and boundary decisions?
- Does someone need a reply now?
- Is this a one-off issue or a pattern worth preserving as a case?
Feedback on a specific message is useful evidence, but read the surrounding conversation before deciding what to change.
Decide the next action
| Situation | Next action |
|---|---|
| The user is waiting for a person | Send a reviewed human reply through the original Channel when available |
| The operator wants help drafting the reply | Generate an AI draft, review it, apply it to the composer, and edit before sending |
| The current Agent behavior is wrong | Use Add Case, define the expected behavior, and diagnose before changing the Agent |
| The request is outside the approved scope | Handle it with the current fallback and consider it for a later version |
| The conversation is acceptable and low risk | Leave it unchanged and continue reviewing the queue |
Save important judgment with Add Case
Use Add Case when you want the same situation to remain checkable after the Agent changes.
Before creating the case:
- Keep the conversation context required to understand the task.
- Make sure
Inputrepresents the behavior you want to rerun. - Write a
Standardthat states what must happen and what must not happen. - Mark the case as release-critical in your process when it must not regress.
After saving the case, make the smallest relevant change and run the affected cases before publishing a new version.
When end-user identity is masked
If the workspace has Mask end-user identity enabled, Conversations shows a stable pseudonym instead of the raw identity.
- Select the pseudonym from the external-user filter to review one user's conversations.
- Free-text searches for the raw external user ID do not match masked records.
- Conversation content remains available for review, while raw identity and profile fields stay hidden.
A practical operating rhythm
- Handle conversations waiting for a human reply.
- Review high-consequence or feedback-marked conversations.
- Save patterns that must be protected.
- Make focused changes.
- Verify the affected cases before publishing again.