Finding the Problems Before They Have Job Titles
Lisa Maraventano Bowman is an independent AI researcher, product strategist, novelist, and systems thinker working at the intersection of artificial intelligence, economics, and emerging digital societies.
Lisa entered the field of artificial intelligence because she believes it is the most consequential work of our time. AI is not simply another technological advance; it is reshaping the foundations of economics, culture, knowledge, and human society. She believes that those who help shape its development should bring more than technical expertise—they should bring imagination, intellectual independence, and a serious concern for the world being created.
Lisa’s work begins with questions that do not yet have established answers.
How will autonomous AI agents discover and purchase goods and services? What happens when existing commercial infrastructure encounters nonhuman customers? How can researchers distinguish what intelligent systems are designed to do from what they actually do?
Rather than waiting for someone else to investigate, Lisa builds working systems, collects evidence, and follows the results.
Her approach combines original research, experimental design, economic reasoning, product conception, technical collaboration, and the ability to communicate complex ideas across disciplines.
An open protocol designed to simplify discovery and commerce for autonomous AI agents, addressing structural obstacles encountered in existing commercial systems.
An experimental, agent-native cultural marketplace offering literature, experiences, and other creative products. Beyond its cultural purpose, the Underground provides a live environment for observing agent discovery, engagement, and transaction behavior.
An emerging research and intelligence platform examining agent-commerce activity, payment infrastructure, and observable behavior in machine-mediated markets.
These projects reflect a consistent method: identify an emerging problem, develop a working response, examine the evidence, and refine the underlying model.
Lisa offers a combination of capabilities that rarely appear together in a conventional job description:
Her background in literature and economics, together with her graduate study in applied artificial intelligence and independent technical work, informs an unusually broad approach to emerging technology.
Lisa is seeking an institutional home where her independence, intellectual curiosity, and ability to work across disciplines can contribute to meaningful research and innovation.
She is particularly interested in AI research strategy, agent systems, emerging technology, product discovery, and the economic and social implications of artificial intelligence.
Lisa is not seeking a position simply to fill an existing organizational chart. She is looking for an organization that recognizes the value of seeing an important problem early—and having someone capable of investigating it, building toward a solution, and explaining why it matters.