This week, I continued working on the LLM agent orchestration pipeline, focusing on structuring how game state, candidate moves, and contextual information are passed into the system for explanation generation. I explored approaches for maintaining consistent agent state and improving how retrieved context is incorporated into the reasoning process, with the goal of reducing hallucinations and ensuring alignment with the engine’s validated outputs.
I was not able to conduct user testing for the UI this week as originally planned. As a result, I am slightly behind on the evaluation of the interface and interaction design. Next week, I plan to prioritize user testing to gather feedback on usability and make necessary adjustments, while continuing to refine the agent orchestration pipeline.