Career Flow

CareerFlow Agent is a sophisticated job-seeking ecosystem that transforms the traditional “chat-with-a-bot” experience into a stateful, generative workspace. By leveraging MCP, the agent bridges the gap between local user data—like LinkedIn profiles and GitHub repositories—and live job market APIs. The core innovation lies in its use of A2UI and AG-UI to deliver a truly generative interface; the agent doesn’t just provide text, but dynamically renders interactive Kanban boards and split-screen “Resume Labs” that synchronize in real-time with the agent’s internal state. Integrated via CopilotKit, the assistant “watches” the user’s browser context to offer proactive, surgically precise resume edits and application tracking. This project meets hackathon requirements by demonstrating a mastery of agentic orchestration, moving beyond static LLM responses to a high-fidelity, bi-directional UI that serves as a functional operating system for a modern, data-driven career search.

I build this tool preciously: https://claude.ai/public/artifacts/a454d00d-a429-4c74-bad4-0de6c5a748f4