James Reggio

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667 appearances 1 recordings 1 series first heard Jan 2026 last heard 17 Jan

James Reggio’s voice in public audio — every appearance, attributed to the second.

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Latent Space: The AI Engineer Podcast · Brex’s AI Hail Mary — With CTO James Reggio · 17 Jan 2026 podcast

And so we've had to to

work on building a corpus of sort of product documentation, process documentation, and like curate this set of information to basically ground a variety of our LLM applications, including like that BREX assistant, which is like the, you know, the assistant that employees uh will will talk to is like we don't want it to to hallucinate features that we don't have or like give give wrong information there.

And similarly like uh

some of the operational um uh agents need to be grounded on um like what our icp is because if you ask uh you know chat gpt five right now like what types of businesses does brex uh on board or like what types of businesses does BREX serve, it might not give an accurate uh explanation to that to that question.

It might it might say, hey, we're a corporate car for startups, which is what we did, you know, seven years ago.

might say, oh, we're only we only serve enterprises.

And so that has been an interesting challenge.

And I think we're what we've been trying to do there is

I'm actually going to be spending time with with folks uh talking about this next week internally about like can we refresh our strategy and kind of unify it?

Because we have a lot of product documentation that's internal for like our operations and go to market teams.

We have a bunch of product documentation that's external for our customers.

We have a lot of uh go to market uh sort of enablement material that's more uh sales pitchy.

And um we have documentation that

is put into Sierra, which is the, you know, the the chat assistant that we use for um uh for frontline um support.

Like all of this

ideally could draw from the same source, but right now it's uh right now it's a little bit fragmented.

It's just something that we're trying to invest in though, because I think at the end of the day the duplication uh of of efforts is just like is is is wasteful and it's absolutely necessary to to get this right.

Uh just to de duplicate uh

agents that's that's one you can build yourself.

That's like solving problems that are not differentiated enough uh for us.

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