Closing $200,000 of AI Agency Deals in 7 Days

What's up, guys? So, uh, today I've got a bit of a different video. Um, I'm going to be shooting over to my business partner, Josh's place. We've had a hectic past week in terms of new deals signed at Morningside. So, um, we've been doing kind of remote. I live over on the side of Oakland. He lives over that side. Um, and since we've come back to New Zealand, we've not been working in the office. We've just moved out of there, which we'll explain in a second. Um, so we have to go and make a bit of an effort to hang out in person. And so, this is our weekly catch up um, in person. Usually go over to Josh's place. So, I'm going to go over there, give you guys a breakdown of what we've been signing at Morningside, how we've got these deals, some main changes we're having on the agency side at the moment. Um, and yeah, how we kind of operate uh now we're back in Oakuckland. So, this one's got no gas, so taking the Supra. — Yeah. Got to have a space. I mean, freedom, you know what I mean? Uh, yeah. Basically, get this [ __ ] off. Yeah. — Yeah. Get this [ __ ] off my mind, off my chest. Yeah.

— Camera died, but here we go. Yes. So, me and the Morningside team have been way over on our little European uh adventure um over summer and now I've all come back to New Zealand and um I've had to move out of the office that you guys would have seen us in. Um that lease ended just a few a week or two ago and so now we're kind of homeless for a little bit and we'll be looking for the next place for the morning sight to be based out of here in New Zealand. Um we looked into houses, we looked into um commercial office space that's available at the moment, but not none of it was really uh ticking our fancy. So we've decided to kind of sit in our hands for a bit and keep a team remote just for um a few weeks, a few months, even if we have to until we can find a right kind of uh warehouse spot um that we really have always kind of dreamed of. I've always wanted to have like the project cars like this down the bottom. Uh like a gym, a like we can have a boxing ring and stuff in there and then we can have the office and kind of the desks up top. I can have my YouTube studio. Um so we're kind of holding out there for a place that we can really make our own. Probably have to invest quite a lot of money in it. But um on the whole, I think it's going to be a better decision for us. Um, so one of the downsides of having that remote setup for a little bit is that Josh lives on the other side of Oakland on the north shore and I live over sort of on the city side. And so for us to keep in touch as founders, I'm sure we can have all the calls you want, but as you'll see when we get there, um, Josh has a little home office set up as well as do we at my place and we can do some whiteboarding there. I'll go over there. He's got his got a chef Paul there as well. So um, it's really good to me to go over and I just hang out in person a lot more even though it's kind of makeshift. um and sort of hobbling along on crutches um until we can get uh a much easier way to spend a lot more time together. And that's really important as co-founders to be spending a lot of time together. So um you go you'll get to see Josh and I just brainstorming, chopping it up and we'll do a breakdown of um the projects that we've had recently so you guys can get to know what's working for us in Morningside and what you can take into yours to sign some big deals like we have recently as well. — What's going on? What's up, bro? Good. Uh, — that was a mission filming all of that stuff in the car. I'm not going to lie. — Uh, camera battery kept dying, so we had to do it on a phone. But — this is, uh, Hunter Campbell, the recruitment firm that we worked with on a couple of our roles here in New Zealand. So, you go, look at this. This is cool. This went out to like 3,000 execs in New Zealand. Got the first page, one of the CEO. Second page there. — Kind of familiar. — Morning AI. — Welcome. — Got a twopage spread in it. — The sixstep playbook to get started with AI tomorrow. — Morningside AI. And there's our beautiful hands looking uh — managing director consultant. — Good write up, eh? Just testing some uh lead genen strategies. — Legion strategies here locally. So that's good. — Could be a good little strat. — Yesterday or the day before, Liam messages and goes, "I'm going to get three different car stands for my camera. " — Yeah, mate. — We said, "All right, mate. " And you know what we end up with after all the thousands of dollars we spent on camera equipment? To be fair, anyone who works with camera knows the pain when you forget just the little connecty bit. Oh man, I need a videographer back ASAP. — $10,000 camera,000 — on a set of boxes.

— Office attempt number two. — Um, — still only has one person working in it. So, we're going to walk you through a bit of a rundown of the past seven days, particularly around the projects we've signed. Um, Josh's got a lot of the insights on what's working and what's not at Morningside. So, um, pop chuck a bit up on the board or screen, but yeah. So, updates on uh last 7 days. Yeah. So, it's been a [ __ ] big seven days, eh? Um, so we're wrapping up develop cuz that obviously came through. We've been doing that for the past eight months. Um, and they're wanting to potentially bring that in house at the moment. Um, so we're in the process of going through a bit of a handoff process there at the moment. I think they'll come back in probably 2 to 3 months anyway and uh we'll pick back up, but I think they're they've pushed so many features in the last 4 months. I think they're just in a phase where they just want go get them. And I've recommended that to them anyway. — Stop developing. Get out and actually get some feedback on the features. So, we've got that, which has been good. Uh, and then we've got two of these contracts. I mean, we've been working on these for what, three freaking four months now. — We're going to jump into Josh basically filling me in on what's been happening over the past week. But, um, just as we started filming, we run into a typical issue, which is he just ran off to go and check the contracts to see how much we're allowed to talk about. And this is like a recurring issue that you guys probably face as well. you're doing content and making uh running these projects with big companies, the bigger the brand name, um the more of — the less you can talk about it, which is the strange part. And the reason that we do a lot of this, at least with the bigger clients a lot of the time, is to get the stuff that we can talk about. — Yeah. — So hopefully we're working with two of these guys at the moment on public case studies, ones that we've completed, which we'll be able to talk about publicly. — Yeah. — But for now, we're going to have to call it, I mean, an NRL team, which it is. And uh — so that was one of the projects signed in the past seven days, an NRL team. And what was the contract — then? So you've got on that. So we signed them uh at the start for about 10,000 US as an expiration. Uh and so we've just signed them this week. Uh and then essentially we've got I think it's 80 to 90 uh US on top of that which we'll be growing into in phase one — which is estimated. — Um — and so that's for purely development. Yeah, — that is purely for development. I mean this is obviously an expo, right? So it provides some insight into that. So that's our normal expiration process. So essentially give you some context on this cuz I don't think I've briefed you a ton on this. Uh essentially I got a lead request through uh the Morningside form probably back in all the way in April I think it was before we went to Europe. Uh and it was from the CNRL team uh who I'm obviously a bit of a fan of. And funnily enough it's actually from the head coach. So like the head coach had actually found us through uh NBA team that we work with. Uh him and some of the coaches coach bunch of other coaches. Funny enough we're in a WhatsApp group or like an iMessage group and they were talking about coaching and stuff and AI comes up and Morning Side so that is how cuz obviously we've done work with the on that side. That's how that got mentioned and uh yeah we got this introduction. So he hit us up and at the start it was very general was just hey how could I potentially use AI? I know we're not using utilizing our data well enough. What can we potentially do? So what we've decided to do here and you know I've been speaking like I said start in April. So this has been what 4 months but trying to pull this through. — Yeah. And it went cold turkey for like a month. — This has been a roller coaster and this is something you guys will get — as you progress and you start taking on these bigger clients. It is. It's like a It's like dating. It's like you hear from them and then you don't hear from them for like a month or something and they might come back and it's all this ups and downs emotional. It's literally — and it's really easy to when all you see is this number is the signing bonus number at the start. It's like what is the point of doing all of that work just to get — but what we've learned so much which we'll get into soon is like the way these balloon is insane which is where our LTVs come from. But he actually came in and I remember me and Nick jumped on a call with him. Uh and I think we were trying to mention consulting first because we always obviously have the development and the consulting arm. Uh and we said, "Hey, there's a bunch of identification that we could do here. " Um but what we found was all of this is relying so heavily on data and a lot of it is talking to the data and quering the data to be able to get insights, actionable insights as fast as possible instead of waiting on analysts. M — and so what essentially we found was that um yeah we need to get in and essentially do hygiene checks and data checks before we can go any further like that's the core foundation not going in and trying to identify use cases. Yeah. — Um, — and so we've started with them obviously on this expiration period at the moment. This is who's working on this? This is going to be me in my fashionable CTO ro of code. Taib. Uh, and then Tara is going to be on this as well. And then we've got on this. She's freaking good. So I've just br her in as a machine learning engineer. [ __ ] she's good. — Uh, and so she's going to be handling the data side to her. I'll be handling cuz you got to keep in mind right is these guys are all based in Europe so they don't even know that you can't pass forward in the game of rugby league. — So I'm in there trying to translate. So essentially we kicked this off. We signed it last week like I said it will 10 uh for the expo it will go into uh an 80 uh for phase one and then I think we'll balloon heavily out of that out of it from there. I mean, literally one of the objectives that he mentioned this week when we said, "Hey, what do you want to be able to do is I essentially ask a chatbot how I can win a game or win a championship for the NRL. " Um, so there's — that's a big ask. — It's a big ask. Uh, but obviously it's, you know, there's opportunities and small steps that we can chip away on. — Um, all right. So, that's call it 90 100 90K for all of that. Um, all up signed this week. Um, and then the second one, if you want to run us through that, and I think we can jump into sharing with you guys some of the tweaks and changes we've had to Morningside as a as an org. Um, we've got a few things that we've been playing around with um that might be helpful for you guys. — So, the second client that we've got is uh a large real estate company. — Uh, — second largest real estate company by volume in the US. — Trading volume is that I think forget what that metric is. allers. I think they're just distributed um — like agents. Yeah, — the sales volume of all of them I believe is the second — combined. The second largest — we'll fact check that and put it on the screen. — Um and essentially so with them they are a public company. Uh they came to us same thing around about the same time as these guys came to us in April. They came to us from uh word of mouth actually. So someone had told them about Morningside. Me and Nick jumped onto a call with them and mentioned the consulting stuff again. These guys were so deep in the solution already. They knew exactly what they needed. In fact, they had a 45page document that they sent through to us. — So, I flipped that over that they actually know what they thought about it because a lot of the time they just watch a video and go, "Oh, yeah, I think I need this. " And then come to an agency and it'll be like some ridiculous use case that it's like they don't really need all these lower hanging fruit. So, this is something you guys will run into is clients will come to you ready for dev, but they will have watched a video or something and they'll be picking this really strange obscure use case that's not actually the best thing for them at that time. So, Josh actually lives next to the um the rubbish dump. So, that's just the rubbish trucks. — Um

all right. So, we got that real estate deal. So, this uh yeah, 45page product document. I sent that over to Alex and then we started moving on that. So I actually put Taib on this one great recently and we did an expo I think it was yeah only five grand. It took us one week. There was just a few sort of key things. So this essentially is like contract generation. Uh and this is an interesting use case essentially as voice starts to pop up uh and get a hell of a lot better. — More and more I think voice is like where majority of it's going. — Uh-huh. Yeah. Wow. I mean, even the solution, even this solution, right? Like the ability to be able to talk to that data. — It's just a change in interface with the with systems, right? — It's crazy because 5 years ago, we were talking about — Josh called gosh. — Me and Lyn were talking about freaking how this was the way, — but it's not crazy. We thought it was going to be directly through the phone like Siri. — We thought it was going to be Alexa. Like me and Liam had this crazy idea that like — if Alexa goes into homes, what if we do that but for New Zealand? Because whoever controls the voice, whoever controls the Alexa is essentially going to control what products are getting recommended off the back end of it. And that way, you know, would be unstoppable. — Once you have chatbt being your personal shopping assistant, once it hooks into Shopify and the badge running to it and stuff, we're there and once people use it more through voice. But anyway, um 5,000 expiration. If you

guys are not sure what expiration is, that's just um the basically the — can we validate that the core functionality of this app works and is — I mean there's a bunch I can touch on this quickly if you want is like one thing the reason why we got to exploration expose is because we're running into issues with response quality. And so for anyone that dealt with chatbots before you know the issue of building a chatbot send to the client and then going I don't like this response this response. or they like it for a week and then the next week they don't like it — or they do that and then your email keeps on getting hanged and hammered because they want changes to the chatbot made. Right? So we ran into this issue and we're just getting into these like revision loops which were just endless. This was probably like a year and a half, two years ago. And so we decided that we have to go through an expiration phase and if we're going to do it, we're going to charge for it and we're going to try and identify some sort of tangible metric where we can actually uh we can have some sort of yeah tangible objective metric that signifies that a project is complete, right? So that — the response quality obviously is subjective. Anyone can come to us and be like I don't like the responses so the project's not complete. We've got to find a way to minimize that. And so how we did it was we introduced this thing called cosign similarity where we'll get a sample data set from a client in this exploration phase. uh we'll get them to write essentially the questions that they want to ask that data set and we'll get them to write the expected responses and then we'll run that data set through our model and then essentially uh we will get the responses and we'll compare it with cosign similarity from the ones that they wrote to the ones the model produced — and that objective metric say it's like 98% complete or 98% similar sorry so it has a 98% cosine similarity score we put that into the contract and now it starts to add some sort of tangible metric and but we do it massive amounts of volume obviously — and so that's where expose came from and then they started to grow beyond chat bots and it started to go into like for this client there's two things that you got to keep in mind one is that you're talking to contracts right so like the whole one of the use cases uh that they have is say I want to generate a contract I don't want to send it over to the legal team I just want to speak into a voice agent and essentially tell it what I want in the contract and then it generates it so we had to test that first to make sure it could be done on their documents and then the second thing is they want integrated with like things like docyign and CRM and all that sort of stuff. And so making sure we can actually do that. There's APIs available and all that sort of stuff — because there's a very big difference between like a rinky like janky kind of prototype that you whip up just to prove that it works versus a production app. So that's why the price will balloon from 5K up to a many multiples of that once and you're into the final project cuz there's so much more engineering. But if you just pick the key points in the project to test um that's what explorations are for. Um, and at the end of that sometimes it sometimes it's like hey this isn't feasible but we don't really get that anymore really. — No, but you know what else is so like important about this is in this one we got told that it was going to be one contract they wanted to generate. Once we gone to the expo and we started to essentially stakeholder conversations and talking to people we're now left with 10. So it's like if we had never gone through that we would have bought it out just for the one. We wouldn't have bought it. The system is scalable. We would have missed out on all this stuff. just going in and having conversations with people, not just the key decision maker that you're speaking to or your key point of contact there, but people that are dealing hands on the ground, like feet on the ground, dealing with these systems day in day out to try and understand what actually needs to be inside of that system. So, you're not hearing it from one person that's probably not inside of that uh you know, workflow. — And so, that was really important for

us. — That and then the X flow rolled into what was the contract size cuz they've already moved the gold post on there, right? we've had to reevaluate. So what was the initial and what's that update? — I forget what the initial even was. I think it was about 60 to was like 80 to 120 and now it's gone up. We just sent through a new statement of work which is 30. — We do rangebased pricing guys. It's not like uh yeah it's just anywhere from it's it's in the contract. It's actually in the proposal is a range depending on I mean Josh you can explain the rangebased pricing. — Yeah. So we yeah they were going to be like chucking out random numbers. strategy is like yeah it was like 60 to 10 and — um yeah so essentially how range I mean how rangebased pricing works is how most development companies do it uh for these bigger projects um so essentially what we'll do is we break this down into phases right so we've got essentially three different phases so you got phase one phase two phase three right and then inside of here you've got your milestones right bomb And so when we're delivering it to the client in the statement of work, we're essentially given phase one, which is, you know, whatever it takes, right? Maybe it's design uh for the start or building the front end portion of it, uh whatever that is. And so we break down the main components into three different phases. And then to develop each component, you've got three milestones inside of it. And so these are more of sort of like what are the tangible things that our developers actually have to do in order to develop this. And then we have at the bottom of this as well like deliverables like what are you actually going to get at the end of each of these phases. And then this is priced right. So how we do it is I send this off to one of our developers right the 45page product document. I send it off to one of our engineers uh or in this case actually two of our engineers Taib and Alex and they give me back essentially the breakdown of the phases milestones and then they also give me a breakdown of how many hours it's going to take. And they say obviously no one can be exact cuz there's so many unknown unknowns. And so they'll go, you know, 100 to 120 hours. And then essentially we convert that into our hourly price and say whatever that is, right? Say it's 200. Um, and then essentially obviously we work out what our rangebased pricing is with that and then we go from there. Um, and so this price is obviously fluctuating uh by who actually needs to be involved in phase one, right? Is it designers cuz designers are cheaper? Is it, you know, backend engineers? Is it front end? is there any machine learning stuff? Like who's actually going to be involved? And that's what the our engineers are also writing about when they do the exploration phase, right? So like you've got to keep in mind is just to do that whole process to go through a 45page document and really understand how this thing's going to be architected and boom, — that's why we charge for it. — Yeah. — But yeah, so that's a rundown um of these projects. If you add that up, we're over 200 200k on that in the past uh past week. So it's pretty big. That's probably biggest. The key thing to think about here, right, is like this is so this is still very early. So we've got they want to roll this out to 1500 agents, — right? And so obviously we've got to do like a big thing that has been working on this week is the scalability. There's permissions in there, right? Like all of that sort of stuff is massive. And so they're really working to get that architecture down. — So yeah, what do you if all in all where do we how big do you reckon that's going to be um over the next 12 months? That could be like a half a mill contract, right? That will probably be our contract. I mean, that's just for phase. This is just for this initial this is one workflow pretty much. — Oh, so we can get — and they've got a bunch of different ideas and they're a massive company. So, — well, that's takeaway for you guys. I think that's a big shift in how we've run our agency. When we started, it used to be very much — um like client in, do project one, maybe an extension of it, and then see you later pro and on to onto the next client. But now it's working with a handful and only onboarding like a couple of quarter one or two really big ones that we want to work with and then you just let them layer up on each other, you know, um when you're working with them for so long and it gives you that road map like we've been able to bring on more engineers — on top of this and just scale the team up based off these projects, right? So, um, that's a very different way of running the agency. But when you know how much rubbish you have to go through with all the trust building and like getting to know them and understanding their business, it's a definitely a superior way to operate if you've got the if you got the bandwidth and the leads to support it. — Well, this is look, I was in the accelerator today, right? And I was doing me and Nick uh were doing our Morning Side update. So, we do that every two weeks to a month, right? And we provide all the insight into Morningside and what we do and how we do it and everything in there. I said even to the guys in there, I said, "Look, some of you are at this stage, but this should be more of a motivational video rather than anything else. " Like most of you guys aren't ready. It's like the AI transformation part of thing, right? Obviously, you spoke about that. — Everyone's now consulting, consulting, — shiny object syndrome. And I still think — well these are literally dev and dev — big divs you know — and so I think uh I mean I was saying it on the accelerator thing today I think like the number one thing is that people just need to get a really good understanding of what this technology is — and you can only do that through the — because when I jump in here no one's asking me you know I've never have you I've never in a line of code in my life I've never even been on N8 I've never been on voice flow I've looked at it briefly I could not do anything for you. But we're able to jump in and I'm able to sign these deals. And why is because I understand at least the technology where it is at the moment and where it's going and how companies are actually utilizing this to move forward. They don't care about your NAD thing or your voice flow thing or anything like that. They care about moving the bloody needle. These guys care about removing essentially or being able to save thousands of hours a month because they don't have to manually generate contracts anymore. These guys care about being able to get data in seconds instead of waiting hours to be able to get it. Whether you come in there and I say we're going to do it with N8 and voice flow and all this crap, no one cares, right? And so deal with that once they actually ask you — what they want. And that's when you, you know, for those that in the accelerator, you ring up one of the accelerator consultants and you say, "Hey, — um, this is what they want. Can I do it? " And they'll let you know. But it's just like man I see so many people just going — I mean the interesting thing there is that you have the extensive business knowledge and understanding so you understand the problems and pain that these guys have and sort of can comprehend their business from head to toe and you know enough about the technology and where it's being plugged in. You know there's transcriptions, there's voice agents, there's automations you can build and so it's like you can kind of just connect your strength and business with your understanding of the technology. Um, and then if it's outside of this is really good for anyone who's nontechnical, like as long as you've got people around you, like you can talk to me, the development team. Um, if you do need help, but like in 95% of the cases, you can just sort that all on your own, right? So, yeah. Um, other small tweaks on the on

morning side, bringing in the SDR. Uh, we've now put that in place. Someone who's been a — That's about freaking time. — Yeah. So, so we've always had so much demand for our uh agency services because of the channel. It's always been a supply issue, not a demand issue. Um, but now as we've scaled up the team, we've got more bandwidth and we can deliver and handle more projects simultaneously. And so Josh has decided to get himself off hopping on the introduction calls with our clients and yeah, Josh, let you explain that one. Yeah. So, we just got a BDR. Uh, actually a guy that Nick Nick, our managing uh director of consulting, spoke to a couple of months ago as a potential hire. Um, and then we thought he'd be perfect essentially to come in and help out on the sales side. So, he's now we've officially got out of Air Table and we're HubSpot. So, we're big boys now on the CRM side. And uh essentially he's going through every day now vetting leads and then taking exploration calls and then if it's development projects he's passing it off obviously to the engineers and if it is consulting projects he's passing it off to Nick and the team over there. So it's working well. It's removed me out of that process a bit.

The other thing that we're testing at the moment, because I know you talked about that AITP and everyone went crazy about it, but I think we throw a little spanner in the works here cuz the other thing that we're testing at the moment is these PC's. — Yeah. — Which is interesting. So like obviously we've got usually we'll jump on a call, we'll find out does someone have is someone like this? Do they have 45 pages ready to go on a specific use case? Does it make sense? And do we really believe that this is going to solve their problem? If yes, okay, let's go and do a development contract. Our minimum on these now, we're not taking anything under 100 grand. So, if there's not uh 100 grand to be gained probably in the first three to four months, uh then we're not touching it. — Um which has cut out a lot of the — the stuff we're doing, which is good. Um but on the other side of that, you've got consulting, right? If they're coming in, they're saying, "Hey, I don't know where to start. " Then fantastic. We're going to help you identify where essentially this technology can help you move needles. Um, but what we've also been seeing is that there's a middle ground between that, right? Like they don't know exactly where they want to start. They haven't gone super in-depth into finding a particular use case. They've got a couple maybe at top of mind that are easy to develop, but nothing that's really going to push the 100 to 150k budget that we, you know, are at absolute minimums on or the consulting side. You know, they don't want to just go in, wait six weeks, and chuck whatever you need to chuck at a consulting engagement to get that off the ground as well. Until they can actually prove that the stuff can maneuver needles. At the end of the day, it's like they've heard the headlines. They know that 80% of the stuff — tried it. — Probably tried it. — Yeah. — They know that 80% of the stuff, at least what's been said at the moment, 80% of these things that have been pushed into production are failing. And they really want to make sure they're in that 20% bucket, which is what our job is. And so what we mean Nick and you said the other day was like why don't we start doing these PC's. So we had a couple of clients that were like amar on the consulting and identification side on the development because they didn't want to shoot straight into 100k commitment. We said okay why don't we start doing these PC's that only take us sort of 2 to 4 weeks. We do 20k minimums on those and we essentially just try and speedrun some really quick developments and then get our foot in the door build the relationship prove the ROI. Hey, this is actually the results you can get. — Uh, and this is how the needles are going to be moved. Uh, this stuff does work and here it is at face value. And then move into let's identify further opportunities — post consulting geek. — It's almost like PC, right? And then into like consulting — and then back out into like full dev, right? Mhm. — But sometimes you'll get it where it goes consulting P then full dev, right? So it's like they don't want to jump into the whole like hey here's 100 grand take this to production. It's like hey look you've done the — the proof you've done the consulting for us. You've identified these use cases but we're not ready to throw down 300 grand for these next two systems. So um PC can you just like — that's the thing about what we do here as well is like usually our like our consulting stuff is so freaking good and the fact of we know what traditional consulting companies are like right you generate a 65 to 80 page slide deck and it usually ends up in the filing cabinet and it's usually templated across every business that X consulting works with. Um, and I think the thing that we're doing really well at the moment is like, man, I've seen Nick B PC's for people within even like just using Lovable with a couple hours, right? And so a lot of the PC is even getting inside of our engagements. — The visual aspect as well like the functionality. Yeah. But sometimes just seeing it and being able to quickly visualize what a tool or a dashboard or something for them to use would look like. Um that's how we're starting to and there's some other really cool stuff we'll talk about soon enough um maybe in a later video but of how we're integrating that into our consulting practice as well to kind of deliver the consulting package. So um yeah the PC um and again that's kind of like you've got explo testing the functionality P turning — P is small enough where you don't need any expo we're 100% confident we can do it. It's uh you know, we've got one at the moment that's out. So, it's a client. We've got two use cases out for them. It's going to be about 30 I think it's about 38 40 grand. Uh and we're presenting that proposal next week. It's going to take us about 3 to four weeks to do both of them. Uh and they do want to move into identifying more opportunities, but they want to start with proven value first. And I think the one of the first ones is uh it's for an education company, funnily enough, and essentially it's cloning the key guy and making sure obviously that any student's able to speak to him at any time, right? And so like that's stuff where we're super confident that's easy for us. — Um then we just get in and do it. — Uh and get that wow from them. And then once we've got that wow, then it's okay, now let's start to progress. — Um — so yeah. But yeah, that's um that's a rundown of this pretty crazy week for us. Uh we didn't get her overnight. You guys have been watching for a while. We know that. But um we've got also probably our biggest consulting gig to date in the pipeline right now. Um and we're working that through. Could be a really cool one um for us. We might be able to film a bunch of that too. Um so I'll leave you on the cliffhanger of that. Um, but yeah, trust you got anything any other last minute source here or we get to let these guys get back to work? — I mean, you'll probably get a bunch of comments of people telling you it's [ __ ] They can call it [ __ ] all they want. Uh, as far as I'm concerned, you know, my stance on comments — and then they'll ask you stripes they'll ask you for stripe screenshots and all. Could you imagine going to any other company and being like, I need to see your stripe screenshots otherwise what you're saying is not true, mate. I'll market my company how I want to market my company. I don't It's so ridiculous. Yeah. — Um but anyway, like we said, — revealing my [ __ ] — Yeah. — Don't comment until another 6 months from now. And if these two are not public case studies, — Yeah. — right then you can come and comment. — Yeah. — But if they're public case studies in the next 6 months, cuz obviously as you guys know that have worked on big contracts, you can't go out and just say, "Hey, we're working with this a public company. This is how much they paid us. " — The bigger it is, the less you can talk about. — So you can't talk about it, which is a frustration for us cuz Liam's always like, "I need to be able to talk about it. Otherwise, what's the point doing it? " I'm like, well, I can't just go into these companies and tell them that we're going to publish this [ __ ] all over the internet. — So, — you mind if I just uh record this whole call and then post it on YouTube? — So, we're trying to give you guys the insight uh and like we said, that's essentially uh the categories at least of both of those clients. If there's not case studies from both of them in 6 months, please comment on this video. — But that king tappers, — go leave your comments somewhere else cuz I already know what's going to come through this. Go find those actual scammy AI gurus that are popping up everywhere now and uh you can go leave comments on theirs and ask them for the same proof. So there you go. — I mean that's the other thing how many people are really — but really don't let's not go down that whole thing. — We don't want to take shots on this anyway. Anyway, but uh yeah — good good. — There you go guys. That's a bit of an afternoon in the life of uh the Morningside AI leadership. Um but yeah, let you guys get back to it.