Grounding AI Agents in Real-Time Web Data
Session Overview
AI agents are only as reliable as the data they can reach — and most are still working from stale, ungrounded training knowledge. This live demo shows a You.com agent pulling accurate, cited, real-time information through a search API built specifically for AI.
Watch the agent answer questions the moment they are asked, cite its sources, and stay current. The session demonstrates how fresh web grounding can turn AI agents from confident guessers into trustworthy operators.
Three Key Takeaways
- Grounding beats guessing. Real-time web data cuts hallucinations at the source — accuracy comes from what the agent can see, not just what it was trained on.
- Citations build trust. Every answer traces back to a source, so enterprise users can verify rather than simply take the agent's word for it.
- Built for agents, not humans. A search API designed for AI consumption delivers fresh, structured, machine-ready results that general search cannot.
Speaker
Thomas Kim is a Senior Software Engineer at You.com, where he builds real-time, web-grounded systems for accurate AI agents.
A University of Waterloo engineering graduate, his previous work spans Square, aerospace design, and interactive journalism. He now focuses on helping AI agents access fresh, trustworthy web information and generate answers grounded in verifiable sources.