The Exchanges

Q I want to have access to more potential leads, but there's so much time and energy that has to go into prospecting for myself because I'm trying to do a million other things. I don't have, uh, Of any, I don't have a manager. I don't have any of those things. So how can I do this for myself? How can I build my own team of agents like this?

A You wouldn't want to, you'd want to partner with a company like BMG we work with. They offload those activities because as a solopreneur or one or two person firm, super hard to implement on your own. You don't want to do it yourself. You want to leverage a service from a third party. We power those third party partners. Because to bring all this stuff together, it's, it's daunting because you have to understand what the demand side platform is. If you want to run retargeting, you have to understand how to put the meta tag in a single impression ad to activate a, a social audience. You have to understand how to use Pressmaster to get content out. You have to understand how to tie your tag infrastructure into, um, PAT, right? Which is our prospecting activation tag. PAT's responsible for all enrichment and de-anonymization. That's just no way you do it as an entrepreneur. You would come in and say, hey, I want to pay 500 bucks a month for an SDR agent. Here's my CRM. Here's my email system. Here's my tag fire for my website. Call it a day. Two logins, a tag on the website, you're done. That's 15 minutes of setup. That's where it's going to go for the small business. The problem is, do you have enough volume of visitors to make it worthwhile? Or is there enough search volume for IMA in market audiences to go and market to them? My experience with small business, they're going to …

AI assessment note: “You wouldn't want to, you'd want to partner with a company like BMG”

Q human that they're working with kind of like to build a relationship and rapport with them? Or are they literally like a chat GPT that's just sitting there waiting to have you tell it to do something, or it's just constantly doing the things that it's programmed to do and And you just go, hey, by the way, also do this thing too. Like, how does the actual communication work?

A Yeah, that's how it started. It was a passive and waiting is where we started. Then we started looking at, Hey, can I initiate a process or conversation via Slack? So that becomes our interface. So it can Slack the actual digital teammates to get them to do something, which is pretty cool, but no, we haven't activated the voice side of it, which is where it's going. So eventually you'll be able to, instead of saying, Hey Siri, you'll be able to say, Hey, Pam, Cause Pam is our master controller, the MCP of all of our agents. Then we know of Pam, what are all the agents active that are with this STR? You're actually going to be, voice is going to be the last interface. That's going to be the ultimate interface.

AI assessment note: “It was a passive and waiting is where we started. Then we started looking at... Slack”

Q mentioning before, trying to figure all these things out, and trying to add these little pieces in, and then understanding all the details, it's very difficult. I have come across a lot of people that have YouTube channels and whatnot, and they say, oh, I can create an agent team for you in 20 minutes using N-A-N. What's the difference between what those guys are doing and what you're doing?

A Uh, we use N-A-N. N-A-N is just a low code. It means you can drag an object and link it to something else to create a process flow. There's like five or six of those platforms like that, that are really well funded and work well. The issue is, once again, it takes a lot of cycles to figure this out. To get something rudimentary that demonstrates a quick, rapid prototype, super simple. To make it work functionally, yeah, good luck if you haven't done it. It, it takes, I don't want to say weeks, but it takes us four to five days from idea to finished alpha. Takes another week or two to get to beta, which is something that we can use in the wild. Alpha we use internally for ourselves, and we use every single agent starts with us. Then if we really like its approach, we take it to, to a partner. Then if the partner goes, this is cool, and we give it to them to use, then we say, let's go find five customers. That's when it goes to the wild, because the partners don't count. They're closely aligned with us, so if it fumbles, you're okay. But to get it so it's customer facing in a beta, it's, it takes some discipline and, and, and some learning cycles. It probably took us Two solid months to really get our hands around how to get it to a proper beta. Just the overall architecture of our system. And by the way, you have any end, you don't have the data we do. So now you activated the s…

AI assessment note: “To get something rudimentary that demonstrates a quick, rapid prototype, super simple.”

Q So let's say for example, you were talking about Vinny and Vinny's got five agencies working with let's assume he's managing them. Who is responsible for recognizing the need for X number of agents and then building that team and then deploying that team for this human to then be a part of?

A So it's our, um, we have a digital execution manager that sits over Pam, which is actually an MCP controller. It's a fancy way of saying it's the orchestration layer for the agents. So there's a actual person that looks at the discrete role, Vinny's SDR role, sales development role, helps them define all the processes, then goes into our, our pool of employees, digital smart agents, and says, Hey, Vinny, these are the four you want to work with. So there's a, a manager that sits at top that really helps design the playbook. And that's the way this would work instead of it being, um, like a battle card or a terror sales sheet, instead of it being, you know, they're having to decide themselves as an SDR. It's more of a, Hey, what do we want to get done? What's the playbook? And then Vinny coordinates with his manager. The manager coordinates with Pam, who's digital Pam coordinates. That's our prospect activation machine. That's why it's called PAM. The MCP controller. Fancy way of saying orchestration layer. And then we build a playbook of five agents for Vinny, and then it goes and works with Vinny. What we're working on now is a dashboard that looks at the velocity and throughput of what was Vinny's baseline of activity and interactions and success compared to with the agent team. So do we see a two or three or four X leverage in throughput and success? So that's who decides it…

AI assessment note: “we have a digital execution manager that sits over Pam, which is actually an MCP controller.”