AI Agent Bake-Off Episode 2: FinTech AI Agent

Building a personal finance AI agent with income/expense tracking, net worth visualization, spending graphs, insights, and stock queries.

This episode explores sequential and parallel agent patterns while integrating Google search capabilities for real-time financial data. The agent helps users understand their financial health through natural language conversations and automated insights.

Watch the Full Episode

Key Features

• Income/Expense Tracking - Conversational interface for logging financial transactions
• Net Worth Visualization - Real-time charts and graphs of financial health
• Spending Analysis - Automated insights into spending patterns
• Stock Queries - Integration with Google search for market data
• Multi-Agent Orchestration - Sequential and parallel agent patterns for complex workflows

Architecture Highlights

The FinTech AI Agent demonstrates advanced ADK patterns including:

• Sequential agents for multi-step financial analysis
• Parallel agents for concurrent data processing
• Google search integration for external data sources
• Shared session state for maintaining conversation context

For more details on building multi-agent systems, see the ADK documentation.