Let's build a shopping assistant JeolAI

In this hands-on workshop, you'll build "JeolAI", a production-inspired AI shopping agent using "Vertex AI", "FastAPI", "React", and "Gemini models".

Together we'll build an agent that can:

• Route requests to different models based on budget policies
• Call multiple backend tools for search, inventory, promotions, cart management, and checkout
• Track tokens, latency, tool calls, and estimated cost for every request
• Visualize agent execution in real time
• Apply budget guardrails that automatically change model behavior as spending increases
• Enforce domain guardrails to reject out-of-scope requests
• Require human approval before completing high-cost operations
• Generate a complete session summary with execution metrics and conversation history

By the end of the workshop, you'll have a complete end-to-end AI agent running locally, understand how modern agent architectures work, and leave with a project you can continue extending after the session.

Prerequisites

• Basic Python knowledge
• Familiarity with REST APIs is helpful
• Please create a FREE Gmail account (gives $300 credits)
• VS Code installed
• A laptop capable of running Python 3.11+