Corey

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You know, we see a lot of that in AI right now with just the conversations we have with the neuron.

And it means things like...

A lot of people don't realize sometimes you're building an agent, you might have a task that runs through eight different models.

And the fact is, this model's great here, and this model's maybe cheaper here, where you don't need as much of the inference and the cost.

So I think that flexibility really builds out something that is developer-friendly, for sure.

Watching out for model drift and all of the things.

Yeah, because time is money when it comes to apps, and they're running 24-7.

You know, something that has been in every discussion I feel like I've had this year has been observability.

And you all have really leaned into that and come up with solutions that I think are simple, clear, offer that vision inside the box.

To the best extent we can have vision inside the box.

And seeing agents laid out in a simple dashboard where it's very monitorable, where you can adjust permissions and all of those things, I think that was excellent timing and a really interesting thing to bring to the table right now.

Was that a high priority in bringing all of this out?

And it's done in a way that I think non-technicals will be able to understand as well and be able to, you know, because I think that's a real key here is that when you have subject matter experts who are doing a specific job, for example, they know that job better than someone building an agent for them is going to.

Totally.

And there's a certain level of nuance that I think that really unlocks, and I think you guys have done a fine job with it.

Yeah, it sure will.

Well, now that we've talked about agents and all that's happening at Microsoft, I would love to talk about infrastructure because the other end of what you're doing right here is what makes the rest of this possible, I would say.