A short expression can contain a powerful idea. A short prompt can produce an entire application. How do the tools we use change what we can think and build?
Drawing on experience at Morgan Stanley, Accelex and Carta, Phillip Mortimer traces the evolution of document intelligence from regular expressions to agents that check and revise their own work. Connecting programming notation with AI-assisted mathematics, he explores how to express what matters, delegate the details, and work creatively with systems that contribute ideas of their own.
Phillip Mortimer specialises in document intelligence and AI. Previously CTO and Chief Scientist at Accelex and Senior Staff Machine Learning Engineer at Carta, he also spent a decade as a quantitative developer at Morgan Stanley in London and Tokyo. He is a visiting lecturer in MLOps and LLMOps at Université Paris Dauphine-PSL. Outside work, he can often be found in the dojo training for his next kickboxing belt.
