How to get near-perfect, deterministic accuracy from your AI agents

Author: Matthew Penaroza I have spent a lot of time working on large-scale agent architectures with some of the largest organizations in the world, and the single most common mistake I see teams make is assuming their accuracy problems are model problems. They almost never are. Your agent is typically not struggling because the LLM is weak. It is struggling because your retrieval layer is feeding it bad context. Fix your retrieval, and accuracy jumps. Make your retrieval learn from its own resul