Taylor Mullen

And then it has like even a deeper level guideline for it that it builds out.

And it keeps doing this reiterates with questions, specifications, questions, specifications, where finally it gets done.

And this is like this one, I could finish the project setup where it had all these details where every single plan I would do from here on, we grounded in this information.

At the end of the plans, it would self-improve itself to grow its knowledge base.

So the plans would get better over time.

And this is just one example.

So conductors is anyhow, it's a really, really cool thing that we built to make it so you can take planning to it.

You're not just having it go through and give you a kind of an uninformed plan to it.

It will work with you to build the best possible plan, and it will work with you to build something that can then evolve over time.

That's check-in-able, which means it doesn't just help you.

It helps everybody on your team improve the AI's intelligence.

We're going to work from here, and...

Oh, totally.

If I'm able to, like behind the scenes, I'll see if I can pull up the exact, I ended up like using that one to implement something.

And I'll see if I can pull it up real quickly behind the scenes.

But yeah, it's exactly that.

It went ahead and it would go ahead and build a direct implementation plan of doing all the details in between, which is pretty cool.

Then you're just like, go ahead.

And then you're just like, go.

Exactly.