Why AI Agents Must Discover New Sources, Not Just Rely on Cached Search

The article argues that AI agents cannot rely solely on cached or indexed data because the web is constantly evolving.
Cached search limits accuracy by missing new, updated, or niche information sources.
To stay relevant, AI systems must actively discover fresh data from the live web in real time.
This approach improves coverage, reduces blind spots, and enables better validation of information.
Traditional RAG systems using search APIs are insufficient without dynamic source discovery capabilities.
The solution is integrating tools like Discover APIs, which allow AI agents to find, evaluate, and use up-to-date information effectively.