Will Bryk

And you don't want it to have to make like a thousand, like 10,000 keyword queries and still never get to its comprehensive information.

You want it to like make a few queries and get comprehensive information.

Anyway, so complex queries, toggleable, also like comprehensive results.

So this is a thing where it's like, an agent doesn't just want 10 results or 10 pieces of information.

It wants everything.

Because imagine you're an investor.

You don't have to imagine that.

If you're an investor and you're looking at biotech companies,

you want complete information because you're making very important monetary decisions and you don't want to miss anything.

You don't want to have any FOMO.

You're missing some critical startup that exists that actually reflects well or badly on the current one you're thinking about.

And so you want your agent to have complete information about every topic.

So like,

With Excel, you could search something and then get not just 10 results or 100 results, but 1,000 results or 10,000.

And increasingly, agents are wanting this.

You also want lower latency because agents search faster than humans.

But at the same time, you want higher latency because certain applications don't care about latency at all.

So I think another big thing with serving agents is extreme customizability because we're serving businesses, we're serving agents that are very different.

Some want super low latency, some want super high latency, or latency doesn't matter to them.

And so it's just a whole, it's like hard to express how different, I have like a list of like 20 different ways like humans and agents are different.