Agentic AI Portfolio Demo

Autonomous Financial Research Agent

Explore how a goal-oriented AI research workflow plans tool calls, combines market and research evidence, evaluates risk, handles data gaps, and produces a transparent research briefing.

Run Agent Workflow

Choose a company

Optional research focus

Agent Decision Path

Research Briefing

Agent tool plan

Example research synthesis

This free browser demo intentionally uses sanitized example content rather than live API calls. The full implementation in GitHub contains the Python/LangGraph workflow for autonomous tool orchestration, RAG, error handling, source attribution, and agent-state management. Educational portfolio demonstration only — not financial advice.

Skills Demonstrated

Agent architecture LangGraph workflow design Tool orchestration RAG Sentiment analysis Error resilience Source transparency Responsible AI