Grade-1
Math

Controlled AI flow in a chat interface.

This is a demonstration of a controlled AI Assistant. While presented as a chat interface, the underlying architecture can support various decision-making or evaluation workflows in the backend.

This approach is highly adaptable across different domains, including education, marketing, e-commerce, customer support, and internal employee assistance.

The AI Assistant operates within a framework of predefined rules and specialized tools. These backend rules govern its behavior, while the tools facilitate interaction with the user.

For instance, the Math Tutor invokes a background AI Agent after each prompt to perform sentiment analysis.
This process provides continuous feedback to the Math Tutor, allowing it to dynamically adjust its responses based on the user's current sentiment. This architecture can be extended to more complex workflows, enabling the AI Assistant to orchestrate multiple agents or tools to gather information and execute actions based on user input.