How to Build an AI Research Agent With Citations

This tutorial explores how to build a reliable AI research agent that provides verifiable citations, preventing the common issue of 'hallucinated' references. By integrating the Valyu DeepResearch platform with custom Python or TypeScript applications, developers can create a pipeline that retrieves evidence, validates source URLs, and generates a structured Markdown brief. The process involves defining a scoped research question, enforcing a strict JSON output schema, and mapping findings to specific source metadata. This architecture ensures that every claim is backed by official documentation, allowing users to inspect the original evidence directly. The article provides a practical implementation guide, including a research specification file and code examples for both Python and TypeScript, demonstrating how to build an audit-friendly system for technical decision-making and source-backed content creation.