00:00 Speaker A
I’m a little curious here. Well, Josh, let’s start with me. For example, what is the state of AI and workflow? And if I could ask, are people saying from the top up that everyone should implement AI in their workflow?
00:13 josh
It definitely comes up in conversation. And I still use it primarily as a research tool at the moment. So I’m on the stock selection team of Baron’s Investor Circle, right? When I’m in a meeting, I just feed it back any questions I have about the stocks we’re talking about. What is the naked case here? What is AI actually doing at this company? And similarly, we have a better answer than Google. Especially in meetings, just pulling out some information can help you ask questions faster and be a little smarter.
00:43 josh
It is also used for things that you are not good at. I’m not very good at Excel. So I, I mean, we’re Gemini, so we use Google Sheets, and it helps us reorganize our spreadsheets more quickly. So it’s like basic efficiency.
00:54 Speaker B
At the corporate level, AI is something that I would definitely like to see utilized. We have it and in a way we have it built into our system. I’m not 100% sure which model you actually have. Well, because we do a lot of coding. At our core, we are, as you know, an electronic company and a software company. And, as you know, many of our programmers use AI tools to run basic code and work on top of it.
01:21 Speaker B
From my personal perspective, I think AI can be helpful. Well, if you research something a little esoteric, you might get an answer a little faster or a lot faster than I can figure it out. So I use it there.
01:31 Speaker B
One thing I use this for every day is writing. I try to write something every day and post it on my website, ibkcampus.com.
01:38 Speaker A
Everyone in the business media praises your work. It’s very helpful.
01:42 Speaker B
thank you. good. Well, one of the things I realized from that was, please don’t ever let me write for you. I haven’t tried the experiment of having it write for me. And I wish it would be like a great piece of work and not just complimentary to me. But what it really does is that this is the best proof reader I’ve ever found.
01:59 Speaker C
My favorite model so far is Claude. I have moved to Claude and am leveraging it and am creating skills. So I’ve already incorporated a lot of the whole process of technical analysis and market thinking, and I’m bringing that way of thinking even when writing content, creating skills that are built into Claude. That’s step one.
02:22 Speaker C
This allows you to access those skills at any time and maximizes your token usage.
02:29 Speaker C
A second emerging theme is MCP. In other words, these are servers to which you can connect your data. Data is critical to artificial intelligence, and we need the right data. In the world of technology, there’s always a saying: “Garbage in, garbage out.”
02:45 Speaker C
That’s why securities companies also do this with Morningstar. You have a Morningstar account, uh, FactSet, uh, Trade Station started this. Alpacas are very interesting now. I use Alpaca because it is a free server and also connects to Yahoo Finance.
02:59 Speaker C
But essentially you can create these connections that can take your market data and create an interface to anything you want. So you’re actually using three separate interfaces.
03:09 Speaker C
First, I have a technical analysis view. I have this, uh, score for all the S&P 500 stocks. Therefore, it is scored from 1 to 10, the higher the number, the better the purchase. And it worked. I mean, I just started with the S&P 500 and have it.
03:26 Speaker C
Here’s my technical view on it. We’re doing sector-by-sector and then sub-sector-by-subsector research to see what’s going on under the hood. It’s difficult to do that on other platforms because they use a different moving average than usual. So I used Claude for that purpose.
