likeBut I guess, would you agree with that? Do you think a year from now, 18 months from now, the lar-- the way that we are documenting information as a knowledge organization is like, is a different primitive than we're using today just because it's so much more conducive with the way that AI works?

Yeah.

So I, I think there's two portions.

There's like, there's raw unstructured data.

So for example, you take like all your transcripts, all your reviews, like mountains of unstructured data that's like, that's like one piece of context.

I think with that, it's probably less about like really rich, organized markdown files, and it's more about basically being able to do semantic search or like vector search across a really large corpus of unstructured data.

So like, I think that's one area.

Does it have, like, the right connectors? Does it have, like, skills or, or parts of the harness that are, like, dedicated for, like, your ICP?

You dropped out of college, and then you started a laundry-themed business, and then you pivoted to... you're like next venture and next venture um and then you had shoelace which like you you you saw the writing of the wall like there's something bigger um but that foundation shoelace built like became what motion is so could you go into like a little bit of like your journey of like how like motion came about and then we could talk about like what you're seeing in the market and like how to become like why emotion is the best

Yeah, yeah.

I won't go all the way back.

Let me start with the shoelace to motion story.

We started shoelace at a really interesting time.

This was very early Shopify days.

It was also very early...

eyeball but it's good to have like a tool like motion who's probably testing all those tools in the back end and then like giving it to you where it's like on a silver platter like hey i'm running all these tools in the background and here's we know which one's the best um um because we're doing it ourselves uh so yes