Instant Retrain and Feedback allow you to improve your AI agent using real conversations.
Instead of waiting for manual retraining cycles, Exei lets you correct responses instantly and capture user feedback directly from conversations. These features help your AI learn faster, reduce errors, and improve accuracy over time.
What Feedback Does
Feedback allows users and internal teams to indicate whether an AI response was helpful.
Feedback is collected in the form of:
Likes
Dislikes
Feedback helps identify:
Incorrect or incomplete responses
Poorly worded answers
Areas where training needs improvement
Where Feedback Comes From
Feedback can be given:
During live conversations
During Playground testing
All feedback is tied to the exact conversation and response where it was provided.
Where to View Feedback
Feedback is visible in:
Individual conversation views
Insights (on supported plans)
This allows teams to review feedback in context and take corrective action.
Instant Retrain allows admins to immediately correct an AI response and teach the agent how it should respond in the future.
Instead of editing training data separately, you can fix issues directly from real conversations.
Where Instant Retrain Is Available
Instant Retrain can be used from:
The Playground
The Conversations module
It is available when reviewing both live and past conversations.
How Instant Retrain Works
When you use Instant Retrain:
You select the AI response that needs correction
You provide the correct or improved response
The correction is saved as Text training
The AI learns instantly and updates its behavior
Future conversations benefit from this correction immediately.
When to Use Instant Retrain
Use Instant Retrain when:
The AI gives an incorrect answer
The response is missing important details
The tone or wording needs improvement
A fallback response occurs due to missing information
Instant Retrain is the fastest way to fix real-world issues.
Instant Retrain and Fallbacks
Fallbacks are strong signals for retraining.
When a fallback occurs:
Review the conversation
Identify missing knowledge or rules
Use Instant Retrain to add the correct response
Over time, this significantly reduces fallback frequency.
Relationship Between Feedback and Retrain
Feedback helps you identify problems.
Instant Retrain helps you fix them.
A common workflow:
User or admin dislikes a response
Admin reviews the conversation
Instant Retrain is used to correct the response
AI improves for future conversations
Together, they create a continuous improvement loop.
Visibility Across Channels
Feedback and retraining apply across all channels:
Website chat
Website voice
Shopify storefront
VoIP (toll-free inbound calls)
Playground testing
A retrained response improves behavior everywhere.
Best Practices for Instant Retrain & Feedback
Review disliked responses regularly
Retrain using clear, accurate answers
Avoid overly long or complex retrain responses
Use real user language where possible
Track improvements using Insights (if available on your plan)
Consistent retraining leads to better AI performance.
Common Mistakes to Avoid
Ignoring negative feedback
Retraining without understanding the context
Adding contradictory retrain responses
Overusing retrain instead of improving core training sources
Retraining should complement structured training, not replace it entirely.
How to Test Improvements
After retraining:
Open Test AI Agent
Ask similar questions again
Confirm the AI responds correctly
Monitor future conversations for consistency
Testing ensures the retrain worked as expected.
What’s Next?
Once you actively use feedback and retraining, the next step is optimization.
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