Research

A reasoned view of the agent economy: what is changing, where agent-mediated software is headed, and what product teams should build for next.

Authors: Terry Chen, Kaiwen Che, Matthew Song Abstract Despite advances in large language model (LLM) capability, their fundamental limitation of not being able to store context over long-lived interactions persists. In this paper, a novel human-inspired three-tiered memory architecture is presented that addresses these limitations through biomimetic design principles rooted in cognitive science. Our approach aligns the human working memory with the LLM context window, episodic memory with vector stores of experience-based knowledge, and semantic memory with structured knowledge triplets. ...

AI-powered study group assistant that analyzes real-time conversations, detects misconceptions, and facilitates deeper learning through Socratic questioning and contextual knowledge retrieval.

How we built an LLM system that identifies student learning gaps and connects them with peers who've solved similar problems—scaling personalized mentorship through AI that understands the nuances of how people actually learn.