AI Agent Architecture
Grounded AI Answers vs Static LLM Responses in Production
Static models hallucinate and go stale, and grounding fixes both.
Marcus Oyelaran
· 10 min read
Static models hallucinate and go stale, and grounding fixes both.
Agents need live data, and CrewAI and AutoGen wire it differently.
Architecture, not model choice, decides if research agents work.
Runtime tool choice is where agents fail, and grounding is why.
Most RAG projects stall between demo and production, and architecture is why.