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Research Scout

Active

research

Research Scout takes a question or topic and autonomously browses the web, extracts relevant information, cross-references sources, and returns a structured summary with citations. Built on a ReAct loop with web-search tooling.

Claude API Tavily Python

Try it Live

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Demo Coming Soon

Research Scout is still being wired up. Check back soon!

How It Works

Research Scout runs a ReAct (Reason + Act) loop:

  1. Reformulates your query into optimised search terms
  2. Calls the Tavily search API to retrieve top results
  3. Reads and chunks page content
  4. Reasons over chunks to extract relevant facts
  5. Synthesises a structured answer with inline citations

Capabilities

  • Multi-turn research sessions
  • Source deduplication and ranking
  • Markdown-formatted output with numbered references
  • Handles ambiguous or broad queries by clarifying sub-topics

What I Learned

Getting the agent to stop searching at the right time was the hardest part. Without a termination condition grounded in information sufficiency, it would loop endlessly chasing edge-case details.