May 08, 2026
Building a research assistant involves more than just a chatbot; it requires an agentic system that can browse the web, evaluate sources, and synthesize information into a coherent report.
Start with a "Manager" agent that breaks the research topic into sub-questions. Use a "Researcher" agent equipped with tools like Tavily or Perplexity API to find information for each sub-question. Finally, use a "Writer" agent to synthesize all the findings, ensuring that every claim is cited back to the original source found by the researcher.
The key to deep research is iteration. Instruct your Researcher agent to "identify missing information" after its first pass. If a source mentions a new concept or a conflicting fact, the agent should automatically spawn a new search task to investigate that specific detail. This "recursive search" allows the AI to uncover nuances that a single-pass query would always miss.