Jaxon dramatically increases AI project success rates, fosters collaboration, increases staff efficiency, and continuously learns what works and when. Through R&D efforts with the U.S. Department of Defense, Jaxon has created a way of simulating model system performance and getting the design right the first time. By formalizing the AI design process, design tradeoffs are able to be explored. It allows all talent levels to quickly and easily create, test, and iterate on AI system designs without the need for extensive coding or data preparation. It uses an AI-powered ‘Fact Checker’ to address the hallucination problem and bring trust into the output of large language models (LLMs). As a pre-trained Data Science Agent, Jaxon makes decisions based on established conventions and guides users to the right design. Rather than requiring the developer to specify every detail of how the application should work, this approach makes it much easier and faster to build applications.