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

We were working with some outside uh like the like a company uh that specializes in this, and the performance we ended up getting was inferior to just building a like a web research agent.

And so, so I think what what we took away, uh what has been most evident in operational AI is that.

In operations, you need to be able to break down problems really granularly and be able to form SOPs that humans can repeatably follow and and thus can be audited.

Uh, because so much of the the responsibilities in operations is to uh is to have audible, repeatable processes that help to ensure that we're operating in a compliant manner.

And that actually translates just so cleanly to

LLMs that we haven't needed to use too many sophisticated techniques in in operational AI.

Uh it's been it's been relatively simple, like new tool uh like agents, or maybe even a lot of problems can be solved with just like a single turn uh chat completion.

And so the fact that we didn't well, we did one one sort of attempt to over engineer and use more sophisticated techniques, uh, and we we

we we discovered uh that in fact the solutions are a bit more uh more plain and and less technically sophisticated.

The the challenge is really articulating and refining prompts to reflect reflect the execution of the SOP and like reflect all the sort of institutional knowledge that isn't written down uh so that uh agents can properly replace like the

the humans or the contractors that we would have making these decisions.

We kind of prioritize like the the tasks that are most common for the broadest number of customers.

And the uh some of them are are are fairly um fairly intuitive like

being able to research uh a customer to look to assess like legitimacy of the business and whether that business would fit our ideal customer profile for for onboarding because there's certain types of businesses that we either legally cannot serve or we are not comfortable being able to serve.

So that's the type of really kind of basic research um and like a a relatively straightforward problem uh that isn't

hyperbrec specific.

The things that are a little bit more specific

who to us or or companies in our sector would be preparing documentation for a network card dispute.

Like if if you go and dispute a transaction on on your your personal card.

You will provide evidence to your card issuer.

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