Contributed to the AI Maths Tutor project by refining the core system prompt to improve the tutor's pedagogical effectiveness — introducing structured guidance for handling student errors, adapting to different skill levels, and delivering empathetic responses to frustration. Beyond prompt engineering, I refactored key areas of the codebase to improve maintainability and performance, and played a central role in orchestrating the interaction between the AI agents, ensuring seamless communication between the tutor and visualisation components to deliver a coherent, responsive learning experience.
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