[n4r9]

The three basic guidelines are:

* Specify the product as concretely as possible

* Use existing applications to test feasibility

* Get non-engineer user feedback on early prototypes

These all obviously apply to product management more generally, but Andrew gives some examples/ways in which they apply specifically to AI products. Still, I feel like they're talking more generally about complex/abstract software engineering rather than simply AI.

[dartos]

> Specify the product as concretely as possible

This is no small task.

[ben_w]

Indeed. I've seen people blind to how vague their specs were — I'm sure we all have a similar story, mine was someone wanting to know how much it would cost to make "uber for airlines" but it really was that vague a description even after I questioned them for more specifics, because their attempt at specifics was still vague.