Olivia Moore

So before I tackle that, I guess one of the things that we had very clear from the beginning when you're working on the frontier of technology is really what you have to reinvent versus what already exists, no?

And I think people might take an approach where they just reinvent everything just for the sake of it.

Some people would just wrap around anything else and be like more of a go-to-market thing.

We started tackling the limiting factor always.

And again, back then, GPT, Paolo mentioned, 3.5 was relatively fast and not so good.

So we had to find T on the LLM.

Soon enough, we realized that prompting and all these good models came out.

Prompting was good enough.

Scratch that.

Let's do that.

And always focusing on that limiting factor then.

voices, like the background noises, like supply chain is extremely messy.

You're talking with drivers in their trucks with the radio on and background music and noises and accents.

So always focusing on those limiting factors.

On the negotiation part, something we got very often was how do you prevent the bot from hallucinating a rate or like max buy?

He's like, dude, I'm building this thing and it's just hallucinating max buy and it doesn't know how to negotiate.

How are you guys able to do that?

And I think it's because

You don't need to show the AI what it doesn't need to see.

And I think we're very opinionated about this from the beginning where we're building these proxy servers and actually exposing to the agent all the things they need to see.