Gabe Pereira

And so I do think like there will be a lot of legal work that these models can do.

And then I think the point you made that I think.

it does feel like people miss of like, what is the value of these enterprise SaaS companies is exactly what you said, where it's like, there is a huge difference between vibe coding a product and building a product in an organization that another company is willing to bet their company on you.

Like if Salesforce goes down, you're like sales org that can't function, right?

And this is the same in legal with the private equity example I gave.

If you want this to do a fund formation, I need to wait 10 years until that fund pays out to know that you structured this correctly.

And it's like...

these systems are getting so complex that you can't evaluate them, right?

Like if you think of how do I evaluate that a partner is a good partner?

There's no test I can give that partner.

It's just that person has done mergers for the past 20 years.

And for the most part, those mergers have gone well.

And it's the same with software, right?

Like I think anyone who's built software

It's like you can test stuff, but at the end of the day, it's like, did your system run in production for 10 years and not go down?

And there's no test for that.

And all of these things are ways that you build trust.

Like, you can't shortcut the trust.

That, to me, is going to be one of the biggest things that slows this deployment of this technology.

Because especially if you say, I'm gonna have one company or one model build all of this, you're just taking all this correlated risk on that single system, where it's like, if one thing is wrong with that model and it wrote all of your code and all of your infrastructure,