Bryan McAnulty

it will actually escalate that on its own to our human team.

So that way we can look at it and that way we can see, oh, this creator may need help with something.

Here's what it is, here's what happened.

And then we can actually step in proactively and say, hey, it looks like you were trying to get help with something.

Is there anything else you need?

And now we get to help them at a level where, like previously, we would have maybe just not even known they were stuck before.

Yeah, yeah.

So it's a great question.

I think what I'm going to say is something that I think is going to be solved better in the future.

So you don't have to understand it as well, but it's going to be something to if you understand it now is going to help you get so much more value out of AI and being able to separate its shortcomings from understanding what it actually is and how it works in the behind the scenes.

So, like, I'm sure we've heard these stories of somebody using like OpenClaw or some kind of agent and it it deletes all your email or it does some kind of crazy thing.

And first of all, in your business, if you're using these tools in business, you probably want them set in a way that you're not relying on hoping the agent does that.

But instead, you have these enforcements in place that it can't actually go and delete all your email or something like that.

But what I would tell people is when you see that AI gets something wrong,

And we imagine that the AI is very much either like the way a human would work, or we imagine, I think, the sci-fi version of AI, that there's this magical thing computing and always thinking and growing in the background.

But what we know is the real way that these models work is that they're only essentially like alive for the moment that they're kind of running inference and responding to us from that prompt.

And when you think about it that way, I think that this changes the way that maybe you interact with it.

Because when we put the agent in a loop and it continues to work on something, the way I would describe this, like metaphorically, is that we're actually having this AI kind of come to life and saying, here's all this information.

You got to do something with it.

And the AI does have some kind of sense to know that it's going to basically exist for the next couple minutes.