In my experience, software built for any fad is quicksand that tends to lead to mountains of technical debt (been there, done that, got the t-shirt). The key is to use these early experiments to learn - learn where users find value and where and how software can lean on new tech to deliver *new* value. I think the smart product teams are not just adding "stuff" but are adding usage measurement and being VERY curious about the missing bullet holes (https://medium.com/@christian.dobbert/the-missing-bullet-holes-and-abraham-wald-25e68d7a870f)
I love the Empire podcast, learned a huge amount from that source over the last year BIT I can do without Anita Arnand silly jabs at William Dalrymple.
In my experience, software built for any fad is quicksand that tends to lead to mountains of technical debt (been there, done that, got the t-shirt). The key is to use these early experiments to learn - learn where users find value and where and how software can lean on new tech to deliver *new* value. I think the smart product teams are not just adding "stuff" but are adding usage measurement and being VERY curious about the missing bullet holes (https://medium.com/@christian.dobbert/the-missing-bullet-holes-and-abraham-wald-25e68d7a870f)
I love the Empire podcast, learned a huge amount from that source over the last year BIT I can do without Anita Arnand silly jabs at William Dalrymple.
I think they are both brilliant. I love the jabs..
Just as well we’re not all the same eh?
There are a set of Gen AI startups early in the hiring funnel that are seeing traction and putting Gen AI to good use: https://ejlawless.substack.com/p/how-gen-ai-tool-startups-are-changing.
Thanks EJ. Very interesting post. Subscribed.
But not bit