AI thrives on context. In TIXAE AI, context comes from three primary sources: system prompt, user input, and the built-in knowledgebase.

Improved Accuracy

Context helps the AI understand the nuances of your query.

Relevance

With proper context, the AI tailors its answers to your specific situation.

Efficiency

Clear context and a robust knowledge base reduce the need for follow-up questions.

Personalization

The more context available, the more personalized the AI’s responses become.

Providing Effective Context

1

Be Specific

Clearly define the problem, audience, and desired outcome to keep responses relevant and contextually driven.

2

Leverage the Knowledge Base

TIXAE Agent’s knowledge base provides a layer of information on top of the model’s training data, ensuring consistent and accurate responses.

3

Set Boundaries

Inform the AI about any limitations or constraints. This ensures the model always keeps to its task and context.

4

Define Roles

Specify the role or persona the AI should adopt for more contextual interactions.

While more context is generally better, avoid unnecessary details. Focus on details that directly impact the model’s task.

Setting boundaries and restrictions

When deploying an AI agent for your clients, it’s essential to define clear restrictions and boundaries. This helps reduce hallucinations (like recommending the wrong product) and ensure safe, accurate, and appropriate interactions.

Together with prompting, Temperature sets the level of randomness in the AI’s responses. For more details on how to adjust temperature settings and its effects, read more here.

Guidelines for Setting Restrictions and Boundaries

Scope of Responses

Clearly specify topics the AI should address to prevent irrelevant information.

Information Sources

Restrict the AI to verified information from the knowledge base for consistency.

User Interactions

Define handleable queries and provide fallback responses for out-of-scope questions.

Functional Limitations

Outline actions the AI cannot perform to set clear expectations.

Actions

Specify how to use the UI Engine and Tools in the system prompt.

Defining clear restrictions is crucial for preventing the AI from engaging in potentially harmful or inappropriate behavior.

Example Boundary Settings

By setting clear boundaries and restrictions, you enhance the reliability of the AI agent, boost client satisfaction, and promote positive word of mouth for your agency. Remember to tailor these restrictions to the specific needs and context of each client’s use case.