UniVerse

A university AI campus assistant initially failed using large context windows ('Goldfish Method') because student data became noisy and preferences were lost between sessions. The team pivoted to a memory-driven architecture using Hindsight, shifting from stateful prompts to event-driven learning where the agent retains specific experiences and recalls them based on semantic context. This approach enables personalized responses by logging student interactions and preferences rather than relying on static prompt injection.