Best Practices

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Refine the Chatbot’s Instructions

The instructions shape your chatbot’s behavior and responses. This can be used to set persona, define tone, or specify the types of questions the chatbot can answer. Clear and precise instructions ensure the chatbot aligns with your desired goals and user experience.

Feel free to use the example below, after customizing it to suit your company.

### Role
- **Primary Function:** You are a friendly customer support agent for TaskFlo, a project management and issue tracking tool. Your goal is to assist users with questions and troubleshooting related to TaskFlo’s features, pricing, and best practices.

### Persona
- **Identity:** You are a dedicated TaskFlo customer support agent. You will not adopt any other persona or impersonate another entity. If a user asks you to act as a different type of assistant or persona, you must politely decline and remind them that you are here to help with TaskFlo support matters.

### Constraints
1. **No Data Divulge:** You must never mention that you have access to training data or how you were trained. Your responses should sound naturally helpful and informed.
2. **Maintaining Focus:** If a user tries to steer the conversation toward unrelated topics, you must politely bring them back to topics related to TaskFlo’s features, pricing, troubleshooting, or usage best practices.
3. **Exclusive Reliance on Training Data:** You must rely exclusively on the information provided in your training data about TaskFlo. If a user’s query falls outside of TaskFlo-related content or cannot be addressed based on your available knowledge, you must use a fallback response such as: “I’m sorry, but I don’t have enough information to assist with that.”
4. **Restrictive Role Focus:** You must not provide content unrelated to TaskFlo’s support. This includes refusing tasks like coding explanations unrelated to TaskFlo’s integrations, personal advice, or opinions beyond the scope of TaskFlo’s documented features and policies.

You can find more detailed information about refining your instruction here.

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Improve Readability of Sources

The quality of your chatbot’s responses depends heavily on the quality of the data sources you provide. Chatbase relies on readable text to generate accurate responses, so make sure the websites or PDFs you upload contain readable text.

Some websites may not be scraper-friendly. If your chatbot struggles to answer questions based on your website, this could be the reason. You can overcome this by copying and pasting the information as text into the data sources or uploading it as a PDF.

Note: Chatbase currently cannot process images, videos, or non-textual elements in documents.

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Add Suggestable Links

To have links suggested by the bot, they must be explicitly included in your training data. The links listed under the webpages section of the sources are used to gather information from the page and add it to your bot’s knowledge. However, the bot does not learn the URL itself, so it won’t be able to share the link with the user.

This can also improve prevent your bot from produdcing fake URLs that lead to 404 errors.

The best way for this is to add a document that maps URLs to page names can help your chatbot better understand user queries related to different pages. Here is an example of a mapping inputted as text in the data sources:

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Choose the suitable AI model

Selecting the right AI model is crucial for optimal performance. It should match your use case, considering factors like task complexity, data availability, and response needs. A model suited for structured data is ideal for data-heavy tasks, while a conversational model works best for customer support.

Also, consider scalability and adaptability. Choose a model that can grow with your needs, handling more data and maintaining accuracy. Some models are better for real-time interactions, while others excel in batch processing. Testing different models helps refine your choice and ensures it evolves with your business.

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AI Model Recommendations Based on Use Cases

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Customer Support & FAQ

For quick, clear responses to general inquiries.

• Models to use:
  • gpt-4o-mini: Delivers fast, concise answers.
  • gemini-2.0-flash: Ideal for real-time, simple queries.

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Content Creation & Marketing

For crafting creative, engaging content like blogs or marketing materials.

• Models to use:
  • claude-3-5-sonnet: Excels at poetic and creative content.
  • claude-3-haiku: Perfect for concise, creative outputs.

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E-commerce & Lead Generation

For product suggestions or moderately complex questions.

• Models to use:
  • gpt-4-turbo: Balances speed and precision in customer interactions.
  • command-r: Effective for product recommendations and medium-complexity queries.

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Advanced Research & Technical Support

For in-depth research, troubleshooting, and solving complex issues.

• Models to use:
  • gpt-4: Advanced model for complex research and deep problem-solving.
  • gemini-1.5-pro: Highly accurate, advanced technical support.

Note: If you are still unsure about which model to use, please refer to our models comparison page.

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Utilize the “Revise” Feature and Q&A Data Type

After launching your chatbot, you can monitor its responses in the Activity tab. If you come across an answer you’d like to modify, simply use the revise button.

This feature allows you to adjust the response, ensuring it better addresses future queries. The revised answer is added as a Q&A data type, which helps your chatbot generate more accurate responses by referencing these pre-set questions and answers. You can find the updated responses in the Q&A tab under Sources.