00:18:44 · Ben Hylak
[00:18:44] S0: Yeah. I mean, just to be very clear, like, that that is, like, I think for us, we've always been very focused on that problem of, there's clearly too much to go through by hand. If we had to make sense and build agents without using AI, it would actually be impossible. Mhmm. Yeah. And even the level of complexity of the agents that we're building now would not be possible without agents. It's, like, very obvious. And so we've been really focused on, like, well, what do you need to close that loop? Like, where you get an issue, and you could actually solve that and know you solved it and push it, which is like... You like... Again, the loop is like recursive self improvement, essentially. At least at least some numbers of loops. Right? Like, wanna push... Get as many loops in before you hit a wall. And I think for us, what we realized very quickly was like, simulations is the way to solve that. Because you get an issue, and you just need to be able to know... Like, teams right now are very, very scared of making changes to their agents, because they don't know what's going to happen. Like Yeah. They're like, well, you know, we're paying x much for, you know, you know, to use Opus five five. Should... You know, Sonnet comes out. And you're like, well, we could save this much amount of money if we switched, but should we? It's like very unclear. Mhmm. And, you know, you could put it into production and do a feature flag or whatever, and we help with that too. But I think the best way we have found to get confidence before is simulations.
00:20:09 · Ruby Justice Thelot, Ben Hylak
[00:20:09] S1: Yeah. Well, very well put. You so much for coming on. We're coming up on time. It was great having you on and hearing about Raindrop. So, yeah, thanks so much. [00:20:16] S0: Good. Good to be here. [00:20:18] S1: A huge thanks to MTS sponsors.
00:20:20 · Ruby Justice Thelot
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