3Chat.AI Sandbox Testing Feature Introduction

3Chat.AI Sandbox Testing Feature Introduction

3Chat.AI is an Active AI Customer Service Agent designed specifically for Chinese sellers.
It breaks through the passive response logic of traditional customer service:

  • Pre-sales stage: Executes intelligent marketing SOPs, combined with industry-specific sales script libraries and multi-round conversational pacing, proactively guiding customers to leave information and convert.
  • After-sales stage: Acts as a business expert, executing operations based on business goals to help improve customer retention and repurchase rates.

Before going live, sellers often need to verify whether the agent’s responses are accurate and stable. For this purpose, 3Chat.AI provides the Sandbox Testing Feature, which helps you test and debug the agent’s dialogue flow in an isolated and secure environment.


1. Feature Overview

The sandbox testing feature provides you with a dedicated isolated environment to:

  • Simulate customer interaction scenarios
  • Verify the relevance and accuracy of the agent’s responses
  • Detect and fix potential issues
  • Optimize the knowledge base and conversation flow

This way, you can ensure correct configuration of the agent before moving into production, thereby improving customer experience and dialogue stability.

Notes

:white_check_mark: In the sandbox environment, only knowledge base comprehension can be tested
:cross_mark: AI tasks and escalations to human agents will not take effect, and no new contacts will be created
:cross_mark: IM reply style and continuous input handling configurations will not take effect in the sandbox
:warning: If you want to validate Flow processes in a production-like environment, please go to the Flow Space for testing


2. Quick Operation Guide

2.1 Enter the Feature Page

  1. Log in to the 3Chat Agent Management Console
  2. In the left navigation bar, click in sequence:
    3Chat Agent → Testing → Agent Testing
    to enter the testing page


2.2 Test Scenario Coverage

On the testing page, you can simulate customer input scenarios to check whether the agent’s responses meet expectations.

Example:

  • Input: How can I check my order information?
  • Goal: Verify if the agent can respond correctly and provide guidance on checking order information.

2.3 Debugging and Optimization

  1. If the test response is unsatisfactory, go to Knowledge Base or Fixed Phrases to adjust the content
  2. After adjustment, return to the testing page, click Reset Test, and input the question again for verification
  3. Through multiple rounds of debugging, ensure that responses are gradually optimized and stabilized


3. Frequently Asked Questions

Q1: What if the response is incorrect during testing?
A: Please modify, update, or add relevant Knowledge Base / Fixed Phrases, save, and test again.

Q2: Can sandbox test inputs be customized?
A: Yes, you can enter any question to simulate different customer inquiry scenarios.

Q3: Will sandbox testing affect the production environment?
A: No. Sandbox testing is fully isolated from production and will not change any real data or task configurations.


4. Conclusion

The 3Chat.AI Sandbox Testing feature provides you with a safe and flexible validation environment.
Before going live, you can perform multiple rounds of testing and optimization to ensure the agent responds to customer queries in a stable and accurate manner.
This not only reduces go-live risks but also further improves the quality and efficiency of customer service.