conversation_id or session_id.
Agnost AI groups those events into one timeline so you can review the user’s goal,
the agent’s responses, tool activity, and outcome together.
Open a conversation
- Open User Stories in the Agnost AI sidebar.
- Apply the workspace, time-range, and metadata filters you need.
- Select a row to inspect its messages, spans, errors, and available audio.
The dashboard currently labels this surface User Stories. In these docs,
“conversation” is the canonical data term; a user story is the dashboard’s
narrative view of that conversation.
Conversation identity
Reuse one stable conversation identifier across every turn that belongs together. The integration path determines the field name:
Starting a new identifier on every turn fragments the timeline. Reusing one
identifier across unrelated users combines data that should remain separate.
What to inspect
- Whether the user’s goal was resolved.
- Repeated questions, corrections, and abandoned flows.
- Failed or unexpectedly slow tool calls.
- The intent and violation evidence attached to the conversation.
- Agent-version, plan, surface, or cohort metadata that explains the outcome.
Next steps
- Events: inspect the records behind a conversation.
- Intents: group conversations by what users wanted.
- Violations: find where expected behavior was not followed.