Jesse Zhang
speaker
306 appearances
1 recordings
1 series
first heard Jan 2025
last heard Jan 2025
Jesse Zhang’s voice in public audio — every appearance, attributed to the second.
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Appearances
Like you're you're basically taking the agent and you can you're benchmarking it against, okay, how good a would a human be?
And like how much money is the saving me?
Like how much
better quality is the customer experience.
And so because of that, uh when people evaluate us in our space, it's it's pretty like quantitative evaluation.
You're like, Okay, cool, this kinda works, like let me just you know put you out into production for you know one percent of the volume and build up from there and maybe do that with uh another option or
You know, a lot of the old school companies like Salesforce are gonna be this is a very exciting space for them too, so they're gonna have alternatives and then you just benchmark everyone, right?
Like how good are the stats, how good are the metrics, like how good of a job is everyone doing?
And uh I think so far we've been performing very well and the the main reason for that is this sort of transparency piece, you know, giving people observability, explainability, control over the AI.
And there's still a long way to go in that field, right?
Like there's still so much more you could do.
Uh and that's that's been the our specialty so far.
So basically
of the things that we
have been thinking through and this is something that was pretty big for us when we were first starting out, is that a lot of there's gonna be a huge variance between like the different types of AI agents and how successful they'll be and like how quickly they'll take the roll out.
Because when we were first starting the company, right, like uh we we were pretty open to what to build and we knew that AI agents was exciting.
Uh at that point we didn't even know that if there would be any like real use cases that would emerge even in the next twelve or twenty four months.
But we're kind of exploring.
I think our view is that for the vast majority of use cases right now, it is still like
Like there's not gonna be real commercial adoption, uh w with the state of the current models because of a bunch of things.
Showing 241–260 of 306 · page 13 of 16
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