Google Cloud Rapid Agent Hackathon · 2026
Grad Paddy
An AI agent that helps prospective grad students discover programs and navigate applications, built as a session-aware multi-agent system with human-in-the-loop checkpoints.
Currently being productionized for consumer usage at gradpaddy.com.
What was hard
Graduate-school guidance has to keep a student's context intact while making program recommendations they can inspect and act on.
What I built
A session-aware multi-agent system with a PersistentChatAgent wrapper, human-in-the-loop checkpoints, Elastic MCP program search, and a FastAPI and Next.js application stack.
What I learned
Durable sessions and explicit checkpoints make an agent easier to trust when the decision has real consequences for the person using it.