---
url: >-
  https://docs.corbitaltech.dev/products/ai-assistant-for-whatsmarks-saas/best-practises.md
description: >-
  Best practices for implementing and optimizing your AI Assistant & Knowledge
  Bot Addon for WhatsMark SaaS.
---

# Best Practices

## Knowledge Base Preparation

* **Structure Your Documents**: Use clear headings, bullet points, and logical organization in your knowledge base files for better AI understanding and more accurate responses.

* **Keep Content Current**: Regularly update your knowledge base documents to ensure the AI Assistant provides accurate, up-to-date information to users.

* **Use Simple Language**: Avoid technical jargon and complex terminology when possible. Write in clear, conversational language that your target audience can easily understand.

* **Include Specific Examples**: Add real-world scenarios, examples, and use cases in your documents to help the AI provide more contextual and helpful responses.

## System Instructions Optimization

* **Define Clear Personality**: Establish a consistent tone and personality for your AI Assistant that aligns with your brand voice and customer service standards.

* **Set Boundaries**: Clearly define what topics the assistant should and shouldn't handle, and provide appropriate fallback responses for out-of-scope queries.

* **Include Escalation Paths**: Train your assistant to recognize when to transfer conversations to human agents and provide clear instructions for the handoff process.

## Cost Management

* **Choose Appropriate Models**: Select GPT-4o Mini for basic queries and quick responses, GPT-4o mini for general use, and GPT-4 only for complex reasoning tasks.

* **Optimize Token Usage**: Set reasonable response length limits (150-300 tokens) to control costs while maintaining response quality.

* **Monitor Usage Regularly**: Check your OpenAI Dashboard weekly to track API usage, costs, and identify optimization opportunities.

* **Set Spending Limits**: Configure monthly spending limits and usage alerts in your OpenAI account to prevent unexpected charges.

## Integration Strategy

* **Strategic Bot Placement**: Integrate the AI Assistant in high-impact conversation flows where automated responses can provide the most value to users.

* **Trigger Optimization**: Use specific, relevant keywords as triggers rather than generic terms to ensure the AI Assistant activates at appropriate moments.

* **Test Thoroughly**: Regularly test your AI Assistant with various query types to ensure it's providing accurate, helpful responses across different scenarios.

## Performance Monitoring

* **Track Key Metrics**: Monitor response accuracy, user satisfaction, completion rates, and escalation rates to identify areas for improvement.

* **Review Chat Logs**: Weekly review of conversation logs helps identify common questions, response quality issues, and opportunities for knowledge base expansion.

* **Continuous Improvement**: Use performance data and user feedback to regularly refine system instructions, update knowledge base content, and optimize integration points.

## Security & Privacy

* **Sanitize Documents**: Remove sensitive information, personal data, and confidential content from knowledge base documents before uploading.

* **API Key Security**: Store your OpenAI API key securely, never share it publicly, and rotate it regularly for enhanced security.

* **Monitor Access**: Regularly review who has access to AI Assistant configuration and management to maintain security standards.