Hannah Aaron Lang

And I think Public's idea here is that they're one of the first to really roll out agents with this much capability across the different accounts of your portfolio.

And the newness, being the first to do this in the brokerage industry, they're going to maybe bring more sophisticated, wealthier investors to the platform in that way.

Yeah, I think that's a big question here.

I spoke with the co-CEO at Public, and he told me there are plenty of safeguards here.

So this is how he explained it.

You start by

forming your strategy or your thesis with the AI agent.

And you go back and forth to conceptualize what trade we're talking about here.

And you approve which accounts the agent's going to trade from, which assets to buy or sell, whether the trade is going to be one-time or recurring.

Then once all those parameters are set, there's a workflow that's offered for you to edit, review, and of course, confirm before the agent goes live.

The idea is that there's specific parameters that the agent can operate in.

You're proving everything.

After the agent goes live, it keeps a log of every transaction that is made and also every step of its workflow.

So the different things it's checking to see if it should execute a trade.

So traders can review that anytime as well.

Executives were adamant about the fact that this tool doesn't engage in any independent decision making.

So you're not necessarily letting agents.

an AI agent, run rogue and manage your portfolio the way you might trust, say, a financial advisor, but it is trading in the background for you, supposedly within the exact parameters of what you're instructing it to do.

This is for the investor who is aware of

their portfolio, maybe is aware of different hedging strategies they might be able to utilize and wants to have a little bit more of a hand in how they're managing their investments.