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

Appearances

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I think what what's interesting about the the Sierra that has been really helpful is that again, it's really easy for like the UI and UX of basically administering a SIRA SIRA agent is something that's really accessible for the ops uh and CX strategy team, which are like it's much more low code and
uh more sort of workflow and DAG oriented.
And then you we have engineers kind of going and giving it tools to to take actions.
But for the most part, like it's nice to not have to build
Build the UX for somebody to manage something like that.
And I think the fact that Sierra speaks the language of of customers.
Yeah, exactly.
Speaks the language of CX that can do all the reporting and the telemetry and stuff that that um our you know VP of CX uh would like to see.
Just you know, it's just one fewer thing that we have to build.
How do you build evals?
Who manages them?
Well it depends on uh it depends on the application.
So on the on the operational AI side, um those evals are are basically baked into the into the platform around every um every prompt or every agent.
And for the most part, I think most of these
use cases kind of come online like the V one of like our our um commercial underwriting agent or the V one of our our startup KYC agent are co-developed between like a subject matter expert in ops and like an engineer and they're gonna kinda co-develop um a an initial eval set.
But then from there generally in ops you're always doing QA, be it like on humans or on uh on on the LLM uh
decisions.
And so whenever, like as part of our QA feedback loop, whenever there is a a mistake, that's usually almost always going to result in like a another eval being written as like a regression test.
Uh so
All of that within ops AI is pretty pretty straightforwardly managed.
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