LLM

Meowtive is a cozy-game AI system built with Unity, LangChain, and Google Gemini. Its cat agent chooses activities such as fishing or exploring based on its personality, mood, and surroundings. It can start conversations, ask the player for help when it gets lost, and carry out requests. A persistent memory tracks what the player enjoys and what the cat has learned from earlier mistakes.

Tree-of-Thoughts can solve hard reasoning problems by exploring and backtracking across multiple paths, but its repeated prompts are expensive and poorly suited to small models. We compressed it into one structured prompt and distilled GPT-4o outputs into SmolLM-360M. On Game of 24, One-Step ToT reached 19% accuracy versus 7% for Chain-of-Thought, while fine-tuning on 144 examples raised SmolLM from 1% to 9%. Our full GPT-4o Multi-Step ToT run reached 82%, above the prior 74% GPT-4 result.

GenHint is a VS Code extension that teaches students how to work through a programming problem instead of returning a finished answer. It turns a comment into a code template with TODO steps, then explains each step and reviews the result. Our four-person team built it in 24 hours with TypeScript, the VS Code API, Groq, and Llama 3 70B, then published it on the Visual Studio Marketplace.

Collage is an AI course discovery and planning tool for University of Michigan students. Students sign in with their school account, browse a Pinterest-style course catalog organized around their interests and career plans, ask an AI advisor for scheduling help, and share schedules with classmates.