Your AI Agent Is Failing Because of Your Data Layer, Not Your Model

Here's a pattern I keep seeing: a team builds an AI agent, the demo works, they ship it, and within a few weeks the outputs are unreliable. Someone opens a ticket about hallucinations. Someone else suggests switching to a better model. The model isn't the issue. The data feeding the model is. The actual failure anatomy Multi-agent frameworks like OpenHands and MetaGPT show failure rates above 85% in production-like conditions. The failures cluster around one root cause: the agent re...