“Every single time they use these agents, this is not just a log of your computer's activity. This is decision data. This is your decisions, your team's decisions. And that level of fidelity into those decisions should benefit the teams whose data it is, not just the model providers that are providing the models.”

…be, there's, there, there's so much nuance to these things. And you kind of have to, you have to like think of a task as not just a singular, like, I did this, I pushed this much code, this is how much it costs. It's like, there's a lot more in the middle there that you, you, you have to consider.

Yeah, just on time savings alone. Like if I prompted $400 away, but I saved three months of my own life like going down different paths and finding like the dead ends. Like it's kind of hard to quantify that upfront. There's a lot of, yeah.

Yeah. Recently, Dan Abramov, a famous React guy, took a detour for a month to go into mathematics and prove like theorems and stuff. And talking about this makes me think that that type of work really fits to this model too, because he spent a month prompting LLMs and probing the depths of them and…

Yeah, exactly. And those conversations are some of the most interesting. You know, we have some really interesting ones on our that are shared publicly as well. And I think that, you know, your point here is exactly very astute is that agents are the primary interface to really all knowledge work.…

There's something that I would, I'd love to sort of like chat through. As you were talking about like thinking of like these certain features as like a call center or something, there's like, you know, classic examples of like engineering orgs getting treated as call centers and that like really…