James Reggio

speaker

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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Recordings per month over the last 12 months — 1 in all, peaking in Jan 2026 with 1.

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

And it's funny.

It's just like the the the names of these segments, um, you know, it's like you what we consider.

I don't know.

Yeah, no, I think I think like that's it's like

Yeah, it's like lower mid market.

And I it's funny though, because when what we call enterprise may be uh another, you know, what sales uh what we call enterprise is a business that Salesforce might call a mid market.

Right.

Like because it's just it depends on the scale of yourself as a business when you use these terms.

Yeah, and in in fact the um most of the operational AI is running on that original platform that we have.

And we we built it one element of it that I didn't mention is that it um it also most of the UI UX for this platform is uh built in retool.

And so like you you can basically go into retool and uh there's like a a prompt manager, a tool manager, an email manager.

Um and that's sort of where uh much of this was built.

And the goal with that

was again to make it more accessible, more ergonomic to to get started.

But what an a secondary effect of having a more like visual set of tools for this is it's enabled members of the apps organization to go and do prompt refinement themselves.

So you don't need engineers to go and and refine the prompts or um or even like uh test new foundational models when they come out.

I think that that's another uh fun thing when like a new uh when a new model drops.

Uh folks will go into the the platform and basically run the evals on the new uh on the new model and kind of see like, can we get better performance here?

Or does this have different uh different latency or different uh like cost characteristics?

Yeah, and th this is an area where we've only scratched the surface here, but but a big a big challenge that that we face is that the world knowledge or the knowledge that's built into the model about uh about you know the what GPT five thinks Brex does and how it thinks our business operates is actually quite different from what our business offers today or how our product works.

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