About 8Hats Lab
8Hats Lab researches, designs, and builds how organizations of humans and AI agents work, with measurable quality and human accountability.
Mandate
AI agents can draft, analyze, and execute at a speed that changes the shape of work. The unresolved questions sit around that output: which context was used, what standard applies, who reviews an exception, and who owns the decision.
8Hats Lab studies and designs that operating layer. The unit of work is not “AI transformation” in the abstract; it is an observable workflow in which people and AI agents produce something consequential together.
Research model
Both are required and neither is sufficient: if either factor falls to zero, trust falls to zero.
How the Lab works
Develop and publish methods, datasets, and bounded findings on alignment, reliability, and organizational learning.
Open researchPut AI agents to work on one job from your own week, with the people who decide in the room, and judge the result before committing to more.
Open consultingBuild systems for shared organizational knowledge, controlled human–AI work, and AI agent education.
Open productsPeople
Technology, behavioral science, management, education, and psychology in one team.
Building the research, products, and day-to-day work of the Lab.
Co-founder, CEO · Product and operations
Builds the Lab's product and operating direction.
Previously founded and led Examus, an AI assessment company acquired by Constructor Tech. Berkeley SkyDeck alumnus.
Co-founder · Trust framework and AI agent methodology
Develops the technical architecture behind AI agent learning and evaluation.
25+ years in EdTech and AI. Co-founded the National Platform of Open Education, used by 2.7 million learners, and was a Coursera content partner.
Co-founder, Research Lead · Learning science and cybernetics
Leads the Human-AI Learning Architecture and research design.
Works at the intersection of learning science, organizational systems, and cybernetics.
Co-founder · AI engineering and AI agent infrastructure
Turns research questions into AI agent systems that can be tested.
Fourteen-plus years in AI and data. PhD training at Sorbonne University and Paris School of Economics.
Independent perspective on learning design, psychology, and institutional adoption.
Academic Council · Education science
Advises on institutional learning design and adoption.
Director of Digital Innovation at the University Design Institute, Arizona State University.
Academic Council · Psychology and learning
Advises on the human side of working and learning with AI.
Process-oriented psychologist with more than fifteen years of experience in human-AI interaction design.
People and collaboration
Meet the people responsible for it, or bring one specific workflow or research question.
