AI products

“At the end of the day, like if you're just building a playground and People play around in the playground and then to leave after playing around. It's not a business, right? So I think that is still key, right? You have to be solving real problems.”

“When you're building AI products, it's a constant stream of user feedback. So for people that are thinking about not building AI products, you know, it's gonna be hard to compete with something that has such a tight feedback loop with users.”

“This is a pattern with the, I think, where, you know, you really have to ship to understand what is even possible and what people want. Rather than being able to reason about that a priori.”

“What's under executed today in the world of AI products is like, there's so many awesome capabilities of AI and most of them are really under merchandise and there's like very poor actually visual or otherwise metaphors or affordances given to users to help re…”

“I think it's really hard to sell any kind of AI product now without actually being fluent in The product and be able to demo the product, right? So like, you know AEs need to be like se fluent as well.”

“And people don't talk about it because this is their moat, right? So people are not going to go and share all of these things because it makes sense, right? If you are an email writing assistant and you're doing this and you're doing it well, you don't want so…”

“Coding agents are fundamentally very different than other AI products because the developer is the domain expert. So you can short circuit a lot of things, and also the developer is using it all day long.”

“I think people believe, and I certainly believe that the next year or so of product is going to kind of establish how people use the next wave of products from, for many years.”

“I believe that even if we had no more progress today with models, which is absolutely not the case, but if, even if we had no more progress, we are way behind on product. There's so much more product to build.”

“They're actually like really hard to use because you have to like be very thoughtful about when it could help you. And if you're not prompting a model to help you, it's probably not helping you at that time. And if you think of how many times like the average …”

“You don't know how the user might behave with your product, and you also don't know how the LLM might respond to that, so you're now working with an input, output, and a process, and you don't understand all the three very well.”

“A lot of the use cases that I saw last year were more of slap chat on your data, right? And that was, you know calling themselves an AI product. And this year, a ton of companies are really rethinking their user experiences. And their workflows and all of that…”

“You want to make sure that that intent is rightly communicated and the right actions are taken because most of your systems are deterministic, and you want to achieve a deterministic outcome, but with non-deterministic technology, and that's where it gets a li…”

“I think that will be a huge problem once systems go mainstream. We're still so busy building AI products that we're not worried about security, but it will be such a huge problem to kind of especially with this non-deterministic API again, right? So you're kin…”

“And as you are going through this, like pain of like developing multiple approaches and then solving the problem, I feel that is like going to be the real boat as an individual. Like I like to call it like pain is the new moat, but I feel that is exactly super…”

“The second era of these products is clearly working with agents and, you know, primarily has been coding agents. We'd like to bring it to more, more domains, certainly like knowledge work.”

“And I think in the context of a human, for example, we have a really good analog of a lot of times I'm slacking back and forth with a teammate, we're sharing context, and a lot of times it's just much simpler to get on a five minute huddle with them, and just …”