The current landscape of problem-solving with AI agents is often fragile and inconsistent. While I have a deep appreciation for the technology, it frequently introduces as many challenges as it addresses. I'm Ben Cochran, bringing over 20 years of experience in full-stack engineering, DevOps, and machine learning, with a history at leading companies like NVIDIA and AMD, where I served as a Distinguished Engineer. For AI agents to function with reliability, they require extensive parameter counts or large context windows to maintain manageable solution spaces. Statewright aims to tackle these issues by utilizing visual state machines, enhancing the reliability and performance of AI agents in various applications.