Olivia Moore

speaker

3,003 appearances 15 recordings 1 series first heard Mar 2025 last heard 3d ago

Olivia Moore’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 8 in all, peaking in Mar 2026 with 2.

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The a16z Show · Building AI Agents for Enterprise Operations · 1 Jun 2026 podcast

for example, loads, and there's like 10 carriers or 10 like buyers calling at the same time, you cannot have all those agents like doing work independently, which is what happens to a certain degree with like humans.

They're on the floor and sure, they shout to each other and they're like, hey, this is a very hot load.

Please negotiate harder.

I have someone interested, you know?

All this information is really not in the model.

So what we started doing is when you have inbound calls for the same load, you can start like,

sharing context across them like hey I have someone they're very interested please push harder like this is a hot load please also all this information sharing is literally what you put in the context window at any point in time like general intelligence or the raw intelligence doesn't really know if someone else is calling on that load so it's all that about like what do you know about the business what do you know about the negotiation strategies maybe you know that pushing harder on this load because it's like

cross-border is going to be better or whatnot.

Like that's not general intelligence.

That's very specific and different enterprises operate differently.

Like you cannot just build an agent, fine tune it and have it work at any type of company.

All those nuances is outside of the model and it's that context layer that we're trying to create, no?

And that actually like, we can talk about how actually doing the work and executing the work is what gets you that.

It's like learning by experience.

You do something and you learn and you explore that space of the context layer so that you can keep learning, no?

Yeah.

So we're very forward deployed.

So we were early on understood that really to solve the customer's pain point, we had to build software that adapts to their operations and not the other way around, which is like the old era before AI was you build something and ask people to like run their business however you think they should be run.

But we think it should be the other way around.

So from the very beginning, we started like...

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