Can you just, am I right directionally? And like, can you solidify that? And like, what is the future of the tech stack that supports all this?

There needs to be some sort of instant memory layer for whatever it is that you're doing.

If you are doing legal work, you need to be able to grab all of the relevant case law instantly.

If you are working in medicine or pharmaceuticals, biotech, you need to be able to grab all of the most relevant data points to the thing you're trying to do.

Apps like Open Evidence, unbelievable product.

People love this thing, helps doctors and researchers because it just instantly grabs all of the exact pieces from Canon, whether that's this insurance company's policy about such and such, or whether it's the best treatment or diagnostic method for this other set of clues.

And it's instant and it's boom, it's right there.

Crazy.

Give me the context for you and your definition of that.

Yeah.

So a harness is you have the model and I think everybody kind of understands the, you know, you have a set of weights, you know, this whatever.

It's a black box in the cloud of of intelligence.

And these things principally are going to, you know, nine times out of 10, they're set up to take a bunch of text and give some text back.

And then at the application layer, you can do all kinds of interesting things.

You can add instructions to the text that gets sent and the text that comes back maybe is code and you can show it in a live, you know, web page renderer or whatever, right? But it's all the same principle.

Like, has this always been your thing?