AI Product Management

Actual AI project manager here.

Actual AI here.

This describes the need to iterate on the product idea, in collaboration with engineering, instead of slinging vague PRDs over the wall.

Table stakes for any product manager, not just AI related.

I often bang on about Software as a new form of literacy - and that just as organisations that were staffed by literate people (Catholic churches, nation states, banks) were qualitatively different to organisations without literacy (stonemasons?) then software literate companies (I call them programmable companies in my upcoming book) will be different from the ones we know today.

And this is an example I feel of the form evolving.

The point that AI could not learn from a vague mission statement (whereas most people today would think wow that’s a good start to a two year project) suggests that AI companies as Ng suggests are “just” well thought out companies.

Sorry not making a lot of sense - what I think I mean is that one can write down a human sentence and the phase space of possible meanings is very large - the behaviours that meet the specification can be huge and most projects are attempts to find a working output that meets that and has everyone understanding it.

   But a *working* piece of software has a much more constrained phase space of possible behaviours - just to get it working (or even get a set of tests it must pass) drastically reduces the possible behaviours and so makes clearer intentions and makes the discussion more focused.

How to rank at the top of HN using AI to write articles about how to use AI as a product manager for your AI app on your journey to being replaced by an AI product manager