Tech alignment mtg Feb 9 2026

Hello, Ron. How are you? H >> I'm sick as a dog.

Well, fast. >> Exactly. Well, I'm turning that corner.

>> I'm like, >> let's see. >> I just reached the peak and now I'm coming down the other side. You know what I mean?

It's so It's so funny. You know how you know your body? >> Mhm.

>> It's like the damn thing started up as a nasal pro, you know, like like a nasal infection or whatever. I could feel it and I was like, "Oh, >> you know, it's like three to four days. is going to take to drop down into my chest.

>> Gotcha. >> So, I start hitting the mucex and then on uh what's today? Monday, like Saturday, it dropped down.

It started dropping down into my chest >> and the last night >> it started breaking up like coughing up all that fle and everything. >> Gotcha. Uhhuh.

So, I know I'm probably about two, you know, two to three days away from, you know, being back to just regular unhealthy. >> Regular unhealthy, huh? >> Well, you know, I'm over [ __ ] weight, I guess.

Got to lose the weight, my friend. Gota I'm 60 years old. >> I don't know.

Why you keeping it? You You have to lose it by now. >> Yeah.

Ow. You know what? I didn't even think of that.

I >> guess I just sent the I just sent the message to Anna Baltadano. >> Uhhuh. >> Remember Anna?

>> Yes. >> I've been sending her messages over the years. She's never responded.

>> Oh, yeah. She She just disappeared. >> Yeah.

Yeah. you like you [ __ ] people just wasted my time. >> Oh yeah, >> but it's all right.

>> So, um, are you ready for the show? >> Yes, I am ready for the show. Show me the show.

Well, before you show me the show, I want to show you a show. >> Okay. >> Okay.

So, >> Max, >> I've done it. >> I've done it, my friend. I've created my masterpiece.

like Mozart. I finally finished the the the chatal. >> Okay.

>> I don't know. What am I talking about? A conc.

The uh the symphony. I don't know. You know what I'm talking about.

>> Mhm. Mhm. >> My master work.

>> Masterpiece. >> The masterpiece, my friend. I added that last layer and this thing opened up like Oh my god.

It's like this is the greatest platform ever. Mhm. >> It actually it literally said now you just have to actually get it done.

So call Max and let him know. >> Yeah. Know literally it was like you have to get it done because you have to show it with evidence, but it was like ar uh architecturally and designwise is superior to everything.

You can see it right here. >> Mhm. So where it's asking me right now what what did I just do?

Oh, so it it literally lays out like so for example I said right here I'm about to send this to all of you. >> Mhm. >> Here was like the sentence right there.

Right. It says the net effect is that you're not selling AI you're selling repeatable outcomes with accountability. >> And that that's what this allow.

And so what it does is that it acts as a prediction system, right? That not only tells us about how we're doing, but what what we need to do next at every level >> within the AI architectural uh layer and what we need to focus on every day. >> Gotcha.

Okay. >> Right. and how to prioritize it.

Like when you read it, it'll it's going to go through it. Wow. >> Right.

And so and then like for example, I says, you know, how does the this this how does Nexus the overall system use this is now called Nexus 7 layer is where is what it named it, >> right? It wraps everything else up that we've been doing. you know, architecting, right?

And it says, you know, how does Nexus use this? And this is right here, right? It says it predicts it by doing by running a sense, model, decide, execute, learn loop.

>> Mhm. >> At layer seven. That's the top layer, right?

It shows, you know, the sensing, how we normalize all that stuff. But then here's the beauty of it. says, "If you tell me which stakeholder you want to talk about, I was waiting for you to get on so I can do this.

" >> Um, I'll give you the playbook on how to utilize the whole system. You see what you can read that, right? >> Yep.

>> So, let's see what it says. Is gonna join us? No, he has not.

But we're going to record everything we're about to do. So, do we we have a hour? We have enough time.

I mean, are you at the point where you can take me through everything and it's like I can create a tutorial from it? >> Yeah. From uh for AI um agents.

Yes. I went so far that I think uh we uh I would say probably By end of this week, we should be able to even on board a customer. >> Oh boy.

Getting scary here, buddy. >> Well, we have we have to get to it. >> Come on, Max.

I I need you to to do this. I need you to be the one. I've always backed you, buddy.

It looks like you come through. We're going to take, by the way, >> we're going to take over the world. >> I'm ready.

I got my spear and blow gun, all that. And so, let's kill those monkeys. >> The black African-American from the American ghetto and the Russian get together.

That's what America wants to see. >> Uhoh. They going to be scared like I don't know what.

>> That's why Kenny when you when you listen to this thing that's why you're here buddy >> cuz you're the all American. >> Uh what I wanted to >> but led by the led by a great American, right? >> Yeah.

>> The Russian and the and the ghetto black guy got together and created the new world. Mhm. >> See, you got to you got to you got to look at the story, my friend.

>> Mhm. >> So, you see how it >> laid out the step by step, but we'll go through this a different time. I'm going give you the the floor, but see how it it lays out kind of the step bystep manual.

So, what I'm going to So, what I do is take this and then put it into Western call into the notebooks >> and uh and then create a whole study platform and that whole thing. But you see it says it's a it's a how to run Nexus 7 day by day. >> So yeah, I see it's searching memo >> and um and it's doing all of this.

Uhhuh. >> Yeah. So yeah.

Yeah. Yeah. This the finalization of the framework >> at this point in time, but it brings it all together, >> right?

and he would tells us exactly what to focus on like you know and when to move on to next because we have to we have to get things to where it what I have uh defined as adulthood. I think we talked about the fact that the system now looks at everything that we're doing is going from like you know the creation which is you know being a baby. Mhm.

>> And then going through like the teenage, you know, through the adolescent years, through the teenage years, through the young adult, early early adult years, and then to adulthood. >> Mhm. >> Right.

Because, >> you know, that's how things evolve. >> Yeah. >> You know, especially because we are a biological system.

That's why I layered that on the top of it. Right. So now we we're able to take everything from the stem cell all the way to the adult as far as evolution is concerned.

>> Get it? >> Yep. >> Make sense?

>> Yeah, it does make sense. >> Good. So I'm ready.

We're going to rock and freaking roll now. Let's see what you got, baby. Okay.

So, um I've been polishing this up. So, as uh you remember we went over this and uh it was not that uh polished up. So, uh when you're going to log in into the system as administrator, you have ability to select different uh work workspaces that means different companies.

So for example was or let's say veric city or it's going to be coffee law and you can log in as them as administrator into their dashboard and uh actually click on the workspace for example and you can configure it uh the most important what I added is uh uh every workspace every company has the knowledge base and that's where is the company specific uh documents will go. Okay. And as you see I uh created text file like a 3 months lead info from was just uh to test uh like for example I created 10 clients and uh just uh test information and to see how the rag is uh working knowledge base right.

uh over here every section has the how does the uh how does whatever works right like for example this one I had a challenge where uh it would not read um uh JPEGs properly and uh PDFs so I had to add additional libraries and things like that but uh I conquered that also uh when uh we have a CSV files uh you know there's a different flow how to read the information and uh store it as chunks for example every uh row would be a chunk for example and things like that but uh that is under the hood that that's how it works. So you will have ability to see all the activity logs uh you know for example when uh when you talk uh with someone or whatever right um uh you can invite team members in this case you would be the owner and you can invite additional people uh uh plan and billing that would be over here and you can just click on it and say Hey, here's the plans. Uh, professional starter enterprise.

That's to be determined by you. And, uh, we can finalize it. And, uh, uh, as of right now, we can give them a promo code.

Uh, and let's say we can give 3 months free or something like that to try. I'm going to get to it and, uh, and show you where that is gets configured. So uh as uh let's say Emanuel will log in click on executive assistant and would start uh talk to executive assistant and say uh what is in the pipeline for last 3 months we have And who are responsible for clients in was so uh it would uh actually search and uh uh and give us uh the pipeline who who is who is doing what.

So it's rating everything that as you see um based on the information available workspace context here is the detailed clients uh for last three months and their respective was you know representatives. So for example we have a you know these people and you know um let me actually share with you. Um so for example this is the raw data that I was testing with and um Nexus stream technologies right 150,000 right over here uh then we have some others like uh ironclad um I'm not sure it's not why it's not showing at all but it typically it like grabs three.

So, uh that's why it's saying that here's our sum, right? Here's the deal for last 3 months over there representative. So, so uh we have five there's a recurring uh clients in the pipeline and represent if you need further detail or specific actions uh basically let me know.

So, for last 3 months, right? So we could say, you know, give me a more detailed uh list of all uh custom mer in our pipe line. I've been testing this and u been catching u different kind of bugs here and there and uh wanted to be sure that it's uh would uh uh get as uh you know as close as possible to the finish line.

So still only seven. Why not 10? So, looks like I I need to work a little bit more about this.

But, uh, as you see, it's it actually working, grabbing the information. >> Uh, um, it seems to have a I mean, it to a certain extent it looks like it's a CRM. >> Well, right.

right now. I was just comparing uh to the um to to this uh information. I mean this is just a >> No no my no I'm just saying it seems to have a lot of CRM capability.

So we my my question is do we have to actually >> uh what would be the additional benefit of of of connecting this to Zoho? Do we have to do that? >> Do we have to connect to Zoho or not?

Yeah. Now what's the additional benefit there? >> Well, I mean structured data uh basically not to keep everything in the vector database.

I mean uh uh probably that would be a bit >> okay >> a more structured data. Yes. So uh because we we're going to keep this uh in vector database in this case.

So uh let me go uh back to the dashboard over here and uh so uh I showed you capabilities in the chat but how it all works under the hood that's the main question right now. So uh in administration section uh over here I do have a different uh uh capabilities uh for you as a administrator of was to work everything. Okay.

So let me go uh to the bottom uh on the global knowledge. So the global knowledge that's where you would uh add your global uh uh PDFs and uh any other uh MD files and uh CSV files uh your uh um what you call it u frameworks and and things like that. Okay.

And as you see once you upload uh it you can able to click button to reindex if it didn't. >> Okay. When you say by >> Oh, you talking about the memos?

>> Yes. All your memos. Yes.

>> Really? >> Yep. Uh then uh so over here is the vector database and as you see um that's uh and and we use all my embeddings.

So as you see that is hooked up. Uh here's the collections. Uh and over here you can test the embedding and you can test the uh semantic search.

Okay. Um so you can test them as uh when we were uh doing like let's say um let's say we want to find let's say we want to find this guy. So it it shows seven tokens, right?

Uh uh I mean yeah. So so it's have the 768 seven tokens. So review and over here is uh I believe it's like a 78%.

I mean I I have no clue how exactly to read it but I know that uh when you type in semantic search it does uh show us uh where you know where it's actually um grabbing and uh and for example like we have a uh where you know where we were searching uh with and for example when I was uh typing where we have a deal with a medicore for example is one of the company uh that uh Marcus was the one that was showing up. So uh it does show us how you know how it works and basically it does show um but uh this is I would say not a great example. uh we need more um I would say um more longer information I mean a more longer piece of information uh so we can uh click and test.

So, let me go back to uh uh the dashboard, admin dashboard, and show you where you would uh upload and store information for uh every AI agent. Okay, so every AI agent uh you can pick and choose uh if they use open AI or if they have a anthropic for example, right? Uh those are two uh being configured so far but we can configure more.

You can configure temperature and all the other you know how many tokens and all of that. You can put a more uh complex complex uh prompt over here. Uh obviously you know I did not mess with it uh too much.

And uh also there's ability to put variables for example uh for the company you know return blah blah blah right for the and you can uh refer other agents from this. >> How do I create how do I create new agents? >> You can click this button and you can create new agent.

>> How do the agents talk to each other? uh by default they they all they all uh uh talk to you they can talk to each other uh when you reference them when you reference over here you you can basically uh talk to them but let me get to to that uh uh a little bit later right now uh let me explain to you uh what what else you can do here uh obviously again how it works every section that that's what we have so we have knowledge so over here is uh you can uh specifically uh upload MD files for and and in this case um skills and things like that you can upload it here for this particular agent there's memory obviously it's actually using the uh database embeddings and all of that and you can test the memory as well over here and over here how it works. It shows you um and uh more importantly you know over here you can do the test uh also how it works.

You can see how it works right and most importantly is a intake a chain. So, um this is something that uh I was thinking that we need to uh introduce because uh remember when we talked about how on board clients and different uh um different uh companies might have a different onboarding um process and uh >> what do you mean? What do you mean?

Well means uh for example there's some uh validation questions that needs to be >> well you know what our intake process is. >> Yes. >> I mean it's we've defined that.

>> Mhm. >> So >> yeah. So I think this is uh what we need to have here is uh I will uh double check the uh our intake and and this intake but I think uh I I'm pretty much >> So does this mean that we don't have to write the code?

We can just >> put it in like I mean I just take out a mount I can take out of the Monica memo and put it in here. >> Yes. Yes.

Yes. So, >> and then when a when a person comes to the site to the what do you call it to the uh to the chatbot, it will walk them through the intake process. >> Mhm.

Yes. >> So, here's how it works. >> You're scaring me, Max.

You're scaring me. >> Exactly. That >> actually getting this done and we're actually going to have to do the work.

Ste Steve and I have a long for like 10 years we always had this joke >> that says that uh I'm sorry I'm interrupting. Yeah. I was like one day we're going to have to actually do this.

>> I'm sorry. Go ahead. >> I do remember that one.

Yes. So uh over here you can uh say yes uh this uh uh uh this particular assistant I mean this particular agent uh will have a uh intake agent. So for example before the executive assistant will run uh intake agent will take a place.

Okay. And you can say uh intake agent is the uh you know one of these agents for example or you can create one like over here I created one and I named it intake agent and over here I defined uh a user must provide a company name and was sales rep name for example and I >> so here we can define the orchestrator agent >> we can define the uh what do you call it thing? The um uh framework selection agent.

>> Exactly. >> All the agents >> and exactly and you you can >> and how about the workflows >> is that a no this is a this is just a from one to another and so on and so forth. You can add as many agents as you want to before the executive assistant for example and you can just configure them over here.

Oh, you didn't hear me scream. Go. Oh my god.

>> So, so, so this is good. Yes. Uh, I tested it and it's uh working really well.

So, and uh how so for example, I created this intake agent. I just configure it uh and I configure it specifically with chatgpt 3. 5 for example that is cheaper cheapest one you can uh you can do uh make sure it's active and it doesn't have to be visible to users so I I went ahead and clicked the button hide so it's not going to be visible over here so for example coffee law will start using this system and uh all of a sudden he sees a bunch of agents So you know those intake agents doesn't have to be uh you know over there right visible.

So uh you can uh configure it in the same way. Intake agent also can have knowledge also can uh you know also have access to all the memory uh you can test you and intake agent has another you can have another intake agent. So, so basically it's uh you know uh you can have unlimited uh chains like that.

So um and uh by clicking on plus sign you can do all that stuff right. Uh what I wanted to also uh so this is all about the agents as of right now. Do you have any questions right now about the agents?

>> Sorry, I was sending a text to Steve telling him that >> you gotten out of control and I've done the damn thing. Looks like we might have to do this damn. >> Okay, good.

>> Yeah, the stringing. Okay. Yeah.

See, I'm seeing in my head how this kind of comes together. >> Mhm. Okay.

for what I know how I know it's architected. You know what I mean? Cuz essentially >> we it's it's not finetuned uh to uh you know basically >> but I told I mean just like I just said I said we probably can put clients in like a uh what's his name?

Emanuel in like next week or so, >> right? But uh that we'll probably be able to do the start the real thing by a month from now. >> Yeah.

I mean uh uh let's right now finish this uh walk through and we will define what what exactly is missing and we can uh fine-tune it. >> Yeah. Yeah.

Yeah. Go on. You ask me if I have any questions.

Good go. >> Yes. Yeah.

No problem. Yes. So uh workflow management over here is NAND.

Uh as previously I didn't hook it up. Uh so user management over here would be the different kind of users right for example uh uh whoever is registered with us uh straightforward system settings is where the all providers AI providers so right now it's uh only anthropic and open AI you can add as many as you want to deepse and any others right uh Google authorization I didn't touch it as of yet will visit that SMTP we've been there theme customization been there so subscription plans that's where you will uh uh modify as you wish and uh for example let me show you uh how you can modify it uh name description monthly yearly uh you know agent limit message limit uh for example or storage limit those are to be determined uh you know >> yeah that's the only place I see we have a problem cuz this is not how this is not how we charge. >> Yeah.

So we we can uh definitely >> but but but I can see that it's modifiable. So I'm not worried about it. >> Yes.

And uh I would say uh to change the message limit to like a token not not token limit but to the credit limit and then credit uh will be configured uh with the tokens or something like that. But uh that a separate conversation and that's uh that's not a problem. But uh you know I just uh wanted to create a placeholders so you will say yes we have plans we can uh modify it and we can give them a trial of uh how many days or and so on active inactive that's uh that's basically it and you can uh put as many plans as you want to.

Okay. Uh also promo codes. You can add a promo codes for example uh 3 months free or something like that.

Uh instead of percentage discount you can put a free trial uh or fixed or percentage discount. So that that is there duration you know uh you know how big is discount duration maximum users expired and applies to which plan. So pretty selfexplanatory on that one.

Um and um with vector database we've been through that uh over here would be usage analytics uh how many tokens uh it was used uh how much it cost how many messages how many active agents uh you know been used so top agents by usage you know over here will be uh showing up uh that's uh last 30 days and so on you know of of course this can be uh finished up uh and make it you know so it's going to be a little bit more um attractive and chat activity log I created this so we would uh understand uh how it all works right you can click on each one of them and say okay that was in this workspace uh we use this model uh completion tokens this much session and knowledge source used nine uh the AI retrieved nine knowledge documents from the knowledge base global workspace and agent level to help answer this question. So that's basically shows you and over here is how it works and you can uh view exactly how uh how it it actually calculates everything. So we have a platform knowledge, we have company knowledge and agent knowledge over here.

So, so all of this can be configurable uh you know further as we talked previously but uh you know I just wanted to put all those like a guard rails if you will and uh and the framework you know how we we can work and I think we can just fine-tune everything else now. Okay. Um obviously you can uh filter by the workspace and uh that way uh you can uh pinpoint and uh and understand uh which agents was used activity over time and you can see uh tokens and time in this case.

uh you can see if there's was any errors. So that's just a activity that's uh and you can filter through uh uh different agents. Okay.

So that I would say concludes the >> take me take me through the uh NAN workflow thing. >> Uh which workflow you mean over here? >> Over here would be the NA workflow that we will be >> Hold on.

I can't hold on. There we go. Yeah.

I'm sorry. Yeah. Okay.

Yeah. >> Yeah. So, we will be connecting N workflow.

That's basically what I wanted to uh hook up and test um in next one or two days and uh basically wrap things up. But uh >> yeah um that's where where it's going to be. >> Okay.

So this is first thing but we'll be able to connect this to other >> Mhm. >> like anthrop I mean lovable that type of thing later right? >> Well Lovable and all of that stuff I think uh would be in integrations.

>> Okay. where where we're going to have like a for WordPress uh you know to uh put the you know like a page you know post post you post the posts or something like that and so on and so forth uh and it's going to be any other lovable you know Google or any other integrations that's not a problem and uh uh I also wanted to get to MCP P uh and see how we can you know utilize MCP with with all of this. Uh so we can um have the MCP in the ad mesh admin dashboard where you as administrator uh will u uh connect to any other systems.

I don't think MCB will be needed for uh you know as integrations by uh every company. So content studio would would be images and things and posts and things like that. Uh media library also would be uh any images that you that you want to upload.

uh content will be uh curated information that went through the media. For example, uh let's say social media manager uh would be the uh you know you will type and say hey create me a banner that and post it on on the website or something like that or not on the website but on the Facebook uh Twitter and and so on and so forth that that's basically idea about this blog is basically post stuff on the website. Sales is obviously work with the with the CRM and legal it would be any contracts or whatever.

Okay. So the good thing is um that agents are uh can be shared across all companies. uh with their so once you improve the agent abilities uh let's say skills or whatever it's uh available across the board for all the companies >> but agents have to be uh are we up to the point where agents can be forked >> forked uh explain to me the fork >> extend you know, some some of the agents have to be customized uh to the specific client, >> you know, I mean, we've been talking about, you know, how we the agents go all the way down to the hyper local workers.

>> Yes. >> You know what I mean? And so it's going to be, you know, kind of configured or profiled to that worker.

>> Yeah, I see what you mean. Well, uh I think what what we could do uh if that >> I'm asking we have to have that capability. I'm asking is it at that point yet or we have >> yeah more stuff to do.

>> Yeah, we we can do that. That's not a problem. We can have uh you know uh only agents uh that are systemwide that we use and there's can be a company agent that's >> well the system.

Yeah. Yeah. So I know the system lays out all of that the the >> the architecture where what comes out of Monica tells us exactly where you know all you know all of that stuff.

All right. Good. >> Yeah we definitely can uh do that.

Uh and uh my question is to you, do you think uh uh and your customer in this case company owner uh are they going to be customizing their own agent or are we going to be doing it? >> Well, that's the things the system supposed to do it. >> Okay.

Then if if we will gonna be doing right uh what we could do is >> well yeah but when you say we I mean yeah >> I'm talking about was so we have to configure it we have to configure it and what it's going to do it will create automatically agents over here on the left side uh for example >> but it seems like you're saying it doesn't have to write code it just has to write the BDD specification >> uh as of right Now we we we don't have this functionality but uh I easily can add extend that functionality. >> Yeah. No, I'm I'm seeing it in my head.

Okay, good. >> Yeah. So uh what I'm uh what I'm thinking is uh instead of uh clicking plus and and creating it uh by us typing uh and uh writing the system prompt we can uh write um specific uh a we can create specific agent that does the uh you know creates additional agents in this case.

>> Yeah that's what >> stem cell is. >> Yeah. Yeah.

the the the system the architecture has that in there >> as an agent that writes you know that as part of the stem cell. Yeah, we we'll uh we'll add the stem cell as a it's probably going to be over here like a stem cell uh you know section you know click you click on it and boom and you uh define it save save it and and it's just going to be executing by itself. The whole problem with this Max is that uh too damn simple.

>> Well, too damn simple, my friend. >> From one point of view, it has to be like that. >> Yeah.

Yeah. That is absolutely a joke and absolutely a compliment. >> Mhm.

All right. So, so this is where we are. All right.

So, I need to >> need first get over this illness so I my head won't be cloudy and so I can dig into this. >> Mhm. >> But it's it's ready for me to dig in.

What >> exactly? >> Excellent. No, it's going to be >> from me from the first blush it looks beautiful.

It looks like I mean I >> I'm seeing the things in my head how this can go. >> So for the first you know like I said now I just need to dig into it to see exactly where we are. >> But uh >> yeah and uh you're definitely going to have a question.

So you're definitely going to need a bit here expected. So that's >> in my head I'm like looking like it's 70 75%. Maybe 80.

>> Yeah. Yeah. I I I tried to push to as as far as as I as I could.

>> Yeah. Now Yeah. Now it's a test.

>> Yeah. No, >> it's feeling like that. It's feeling like Yeah.

>> So excellent. Excellent. Excellent.

So over here would be a personal profile obviously change password all that kind of stuff you know email password that kind of stuff. So right now >> okay so that administrator role >> Mhm. >> don't we need like a super administrator which is us and then because they'll have administrator roles for their own >> companies.

Well, I I actually uh decided to have um a different approach, you know, a bit a different approach. Let let me show you um which one that was. Was it here or there?

I'm trying to find which one I was. Yeah, this one over here. Sorry, incorrect this one.

So as a user would register uh and and and uh and uh selects the uh their particular um plan and enters the trial for example. Uh this is what what is going to show him right and um what uh they will see that uh they are owners. Okay.

So, it's owners and users, but administrator is the of the whole thing administrator. So, they're going to have owners only. >> So, we're the only we're the only administrators.

>> Yes, we are only administrators. Yes. >> All right.

So, the administrator is really that super administrator I was talking about and owner is administrator of of the space. >> Exactly. Yes.

>> All right. Yeah. No, no, that that Yeah, that's good.

Yeah. So, uh as you see over here, I'll uploaded here activity. Yeah.

And plans over here, you know, and over here it's going to show uh your uh you know, ends May 9th, whatever, right? You on the first date. So, so it's going to be like that.

So uh moving forward we need to uh move we need to say hey is this URL would be the production URL or it's going to be different URL. So we need to make a decision and uh so you can start playing with this and uh and putting uh stuff and we're going to treat it as a production. >> Do we have a staking URL?

>> Well that's what I want to do. I want to do a staging URL and development URL. So >> and and a sandbox, >> right?

>> Well, sandbox is the development uh I mean or or staging sta typically staging is a sandbox >> but sandbox for others though. Well, we'll get to that then. That's that's down the road anyway.

Okay. >> Well, uh we can with a click of a button, we can create additional uh environments as you want to. >> Is that just a Docker container?

>> Yes. Uh, well, it's going to be more than a Docker container. It's going to be multiple Docker containers.

>> Well, I'm just saying it's a Okay. Yeah. Okay.

>> Awesome. Awesome. Awesome.

Oh, boy. >> Yeah. I've been really busy with, you know, building all of this.

>> We're going to be worth millions of dollars by the end of the year. >> Well, that's what I want to do. >> That is lovely.

You have your children in training. >> You mean training in what? In in >> because look look we're not you they have to inherit this.

We have to be able to my son was testing the chats the other the other day and today actually as well. >> Yeah. >> He was testing this.

>> Yeah. But 18. >> Okay.

>> Mhm. I'm constantly telling him, "Get on AI wagon right now or it's going to be too late. " >> Well, let's pay him.

>> Yep. >> Hey, we need >> Yeah. Yeah.

the the starter. Give him a starter rate. >> Yeah.

So, let me know. >> Well, well, there Yeah, let's talk about it. How about the other two?

Do we still need the other programmers? >> We do. >> We do need them uh uh basically to polish things up uh with me because uh I'm not going to be able to handle everything by myself.

Well, I'm going to also I'm getting in um at that level, but I'm novice though. So, >> yeah. Not Yeah, not a problem with that.

Uh and by the way, have you talked to um Rudy? He called me and uh we had a conversation. >> He wanted >> Yeah, he he he wanted to uh get a Hold on, hold on, hold on.

Let's talk about that. >> No problem. >> So, we are we I don't want to get that on this recording.

>> No problem. >> So, are we done with your demonstration? >> Yes, we are back right now.

>> Excellent.