[neom]

"The real challenge isn't AI capabilities, it's designing tools and feedback systems that agents can actually use effectively." - this part I agree with - I'd been sitting the AI stuff out because I was unclear where I thought the dust would settle or what the market would accept, but recently joined a very small startup focused on building an agent.

I've gone from skeptical to willing to humor to "yeah this is probably right" in about 5 months, basically I believe: if you scope the subject matter very very well, and then focus on the tooling that the model will require to do it's task, you get a high completion rate. There is a reluctance to lean into the non deterministic nature of the models, but actually if you provide really excellent tooling and scope super narrowly, it's generally acceptably good.

This blog post really makes the tooling part seem hard, and, well... it is, but not that hard - we'll see where this all goes, but I remain optimistic.