How do students build a cricket intelligence AI agent?

The final agent is designed as a system, not merely a chatbot. Students define the user questions the agent should handle, create or connect analytical APIs, describe each tool clearly and build a routing layer that selects the appropriate function. When a user asks a cricket question, the agent identifies the required data, calls the relevant endpoint, receives a structured result and converts that evidence into a useful response. Memory or match context can be added where required. Students also handle cases where information is missing, multiple tools are needed or a tool returns an error. The finished agent should make its answer traceable to analytical outputs rather than inventing statistics.