How to build a research-searching AI agent that handles failures
A beginner asks how to build a research agent that plans a query, searches the web, filters junk, and returns a structured, source-backed answer with a confidence level. The discussion centers on failure handling: logging dead ends and retries is what turns a demo into something trustworthy, and a simple confidence signal is counting how many independent sources agree.