rather
it’s our job to make ai agents productive
ai agents are not bound by any capacity constraints in how quickly they can type or the specific hours of the day that they can work or the number of the computers they can access or the number of places they can be at once.
so in that world everything flips on its head.
therefore enterprise software needs be designed in a way that allows you to:
- plan what ai agents need to do
- to create the tasks that it should be working on
- to review the ultimate output that it comes up with
and to ultimately orchestrate and then integrate that work into some bigger picture thing that you are trying to do.
we also need to think about how to give ai agents a granular enough task that it will be successful but not so granular that we’re not having any real productivity gain.
(some of my notes from an interesting podcast with Aaron Levie)