Founder
CurrentAI and Autonomous Systems Research“Developmental Stages of Autonomous Systems” A five-stage model that provides a framework for understanding the evolving aims and motivations of all autonomous systems as they develop. Rooted in developmental psychology and tailored for application in AI fields, this framework helps developers navigate and overcome common alignment problems.“The Five Levels of Agentic Autonomy” A framework that describes the five different levels of autonomy that any agentic system is capable of operating from, and includes methods for enabling and securing operation at those levels.“The Autonomous Four” A framework describing the four attributes that qualify an agentic system for operating at higher levels of autonomy.“The General Problem Solving Model” A framework for understanding the process all agentic systems go through as they interpret raw inputs, conceptualize problems, plan solutions and ultimately produce outputs — with specific insights into how the developmental stage of the system plays a role in determining what the system identifies as relevant problems.“Repeatable Problem Solving” A framework that outlines the stages an autonomous system should follow to produce acceptable outcomes while avoiding pyrrhic victories.“Sensei” A technical simulation built in Unity that demonstrates how different levels of “The Autonomous Four Attributes” affect a system’s ability to operate autonomously.“The Unstoppable Team Builder” A management course that combines insights from The Elkadeo Way research to teach leaders and founders how to build high performing teams that run themselves.