Fitting agents to demand

Foundation models have become extraordinarily powerful—they can reason, write, code, and analyze across nearly every domain of knowledge work. Yet their real-world impact has lagged far behind their raw capability. The gap between what these models can do and what they are doing is much bigger than we think.

Closing that gap is the work of entrepreneurs and product builders. Someone has to take these general-purpose powers and fit them to the contours of real workflows, real users, and real problems. This course will teach you how to do that.

Fitting Agents to Demand will teach you to design AI applications that deliver real impact.

You'll learn to:

~ Decompose workflows and map the dependencies between steps

~ Assess the context needs of different tasks

~ Determine the right level of autonomy for each part of a workflow

~ Develop proprietary knowledge from experience that compounds over time

~ Design for present model capabilities while positioning for future ones