Claude Hits New Milestone, OpenAI Kills Sora | Trading the Markets With AI March 25, 2026

25:48Kris Bullock:Yeah, so we're going to, so everyone, we're going to dive into that right now. Alan's going to share his screen and walk us through all of that. So head on over to Real Vision app and join us to watch Alan's demo live. And if you are currently not a Real Vision member, you can sign up right now,$20, join RV Connect and input a trade idea as well for a chance to win$7 ,500 for the first prize. and we're giving away up to$25 ,000 in prizes. So head on over to Real Vision and join if you're not already a member. You can join now for$20 on RV Connect and input a trade idea while you're at it. So come on over.

26:32Kris Bullock:We'll see you guys in just a bit on platform.

26:38Kris Bullock:All right. So we are back on platform. I can never tell when we are or we're not, but we are. so i'm just gonna run with it so alan uh thank you for giving us that little uh little brief explainer so why don't you go ahead share your screen and um kind of just let's dive into it tell us what you've done here why you did it how you did it what's it for all that good stuff yeah i'll say i'd be happy to so um as i as i said earlier my my concern was that uh the the way when you do things yourself you know life gets in the way of making decisions when you should and you're not always able to consume all the information there's a lot of it out there and so so you kind of miss opportunities both to get involved with things and also when to get out of being involved in things so and my my background is is software engineering and and in financial services amongst other sectors so i i knew i could do all this but it's having the tools and the amount of resources available to be able to do that.

27:48That's always been the barrier. And if I had to build this myself, it'd take me literally years to do it. So having now only since, I guess, really, in my professional career, I am using AI in software development, but it's really to augment what we do in a more traditional way rather than to replace it what's changed i think in the last sort of three four or five months is uh vibe coding has become a real thing it's something you can actually do to build something that's uh approaching uh production strength there are limitations and i'll get into that as i talk through it but um that just evidence of this is evidence that it is it is practical to do more so what what i've built is as i say something to to help me support my own investment decisions so it's not it's not for institutions it is for personal use um so with that as the background it was very important to minimize costs in terms of where data comes from and things like that so i've used all open data sources and all free data sources and consumed some some resources that are just publicly available uh and and done some some things with that some data manipulation data science with that to make it consumable for this uh we can talk about that in a few places when we get to them um and the way It works.

29:05I've also integrated in all the capabilities of modern technology that are now available to us. Obviously, AI is a part of it, not only in building it, but also in the way that it works. So AI comes in in different phases, but along with traditional analytics and analytics type processes and a bit of machine learning as well. There's some of that in there, too. And I'll get into that. and it kind of follows a if you look on the left side of the screen you can see there's there's five stages so if you're already a member and you're already following what Raoul and Julian talk about in terms of macro setting the context for for what you do then that what the macro does is give you a load of signals that you can do something that you can decide how to tune what you do based on what those signals provide.

29:54And so that the very first stage of this is about surfacing what those signals are. And for me, being not a professional, but a professional in terms of the software engineering side, it just reminds me what all these signals mean and what I should do about them. But on top of that, it doesn't necessarily mean that I have to do anything, because a lot of it, it'll automate for me as well. The idea of the whole system was that I could run it without any UI and it would still do everything I need it to do and just ask me when I need to do action something. But nonetheless, I think it surfaced through a UI is great.

30:31It gives me more discretionary control over how it works and allows me to also very critically check that it's doing what I think it should be doing and in the right ways and also allows me to, it's prompted me already in the development of it to think about things that I might do to make it better. So it's constantly encouraged me to go through a fast, so a continuous cycle of experimentation and improvement. So this first stage, as I say, is all about the macro. It kind of has the same tile as top left there that Julian has in his MIT of the notion of seasons for different types of macro environments.

31:12That's quite common in a number of different macro frameworks. and it gives you a great backdrop on how to make decisions about what you should be invested in any particular time and how you should tilt that in terms of weightings. On the right hand side, really important to know what the S &P is doing at any moment in time. And so it gives me a quick indication of where it is in terms of moving averages, whether it's currently from what most people would consider a bearish or a bullish situation in terms of where it is with the moving averages and i can click on that as well and bring up a fast view of uh of a chart so i can see exactly on the chart with all of the signals that i like to see macds rsis and all the moving averages all overlaid straight away so i don't need to mess about with trading view to get them the way i want them it's also got the um volume indications and a lot of the demarc indicators on the two but i've filtered those down to the ones i really care about the nines and the thirteens um that's useful so wherever there's a there's something that i could click on to get a chart there's an opportunity to do that so i can do it on the s &p there i can do it on the on the dollar tile underneath as well and get the same thing for the dollar and so on and then the other things on here are all about all the other things you really need to know about what where's the yield curve going is are there the traditional signals of a recession coming um are rates uh easing or are they increasing well that at the moment is a real question isn't it depending on what happens with with Iran we could be in either situation this was showing two rate cuts just recently now it's showing just one rate cut given the situation the fear and greed index is on here because that's very much both a contrarian indicator and an indication of what the sentiment of the market is at any moment in time along with the VIX also critical in making decisions whereas inflation but But also more importantly as well, where is inflation versus trueflation so that we can get a view of where it's headed rather than where it is now.

33:17The global liquidity indicators, what's happening in all the central banks around the world. It's got the PBOC, BOGA, BOE, ECB and the Fed on it to show you what's going on there. And what's happening in the bond markets are any signs of stress there. market breadth another key indicator that was looking really good up until about a few days ago that's now retreated into less favorable territory so that tilts your decision making a little bit even though we're in in a in a summer regime options sentiment now that's looking at key highly traded options markets like tesla and other large stocks where a lot of options are trade especially um uh what what the what the tilt is in terms of um how that uh the put call ratio is positioned and what what decisions you might want to make based on that um a proxy for the financial financial conditions index are we um increasing liquidity or um reigning it in um this kind of is the opposite way that you'd expect as it sort of dips is liquidity is actually easing um so that and that's what we expect that's what amit model is telling us at the moment liquidity conditions are reusing all of this all of these signals are fed into an llm which has a prompt that tells it to look at it and and analyze it and come up with a narrative to accompany it so if i have not time to work all this out myself i can just read out what they or i can compare it to what the llm is thinking and all the parameters for this are fed in with a little json block of variables and then it makes decisions of the lln as to how it characterizes that set of signals and what it wants to to make of them which is a useful sort of backdrop to what you can see in a in an analytical form and then other things of interest sector rotations what's happening there over which timescales for so from from one week all the way up to six months where are rotations happening in the market that i should be aware of uh we we were very much in cyclicals and growth type um uh sectors we've now pivoted back towards a little bit more defensive energy um and lower volatility type assets um and and that's been showing that so it's useful that kind of thing and then there's there's these are more things that are things that i've determined from my own investment past and but based on frameworks of what kind of things in terms of assets should you be allocating to in these different seasons and and what kind of uh adjusted ratio should you apply based on all of the metrics that are coming in and then finally um where are the top sector returns in that not surprisingly given the situation it's energy at the moment and materials we kind of know that from what we've been seeing.

36:20And then it tells me what you should be doing with weighting those sectors based on all of this. So it's saying financial services, cyclicals, this is mostly based on the fact that we're in summer, that it's tilting towards all of those things. So then the next stage in this, after looking at all the macro, is what to do with all of those indicators and signals. And the first thing it does is it then steps down into the portfolio analysis and takes a look at all of the stocks in the portfolio. So just for the purposes of doing this, I've put in all the stocks from the model portfolio that Jerry's put together, just to see what it makes of those.

37:07And not surprisingly, again, with the market the way it is a lot of these are looking a little bit uh off um but it also it's using my model for um uh the factors by which i would allocate so then they're not the same as joe so it will have a different opinion to his in the way that it judges it so it along the top here we've got obviously the the tickers the um the exchange country that's based in the equity itself um the sector that's in the the theme and i'll come back to that so each what i do is i've created a basket of themes over which all uh assets uh uh mostly equities are um are allocated to so that I can work out which theme this particular equity is involved in and how we want to weight that so it can weight by themes as well as sectors and then how much of it is in the portfolio what's the current price you know all the kind of things that you generally want to know as a quick view but then enriches that with all of the indicators so where is it in terms of mas um does that mean it's in a bearish stance or bullish stance what's the view of the in terms of the factor and screening model as to what you should do with that well some of these it thinks you should just get out of other ones it's saying scale out of them so stay in but but have a have a little bit less and others it's just saying you know sit tight for the time being it's it's that's the right thing to do for now um rsi kind of useful probably a little bit less so trend quality i find really important that tells you you know those stocks that if you just uh screen if you just go into trading view uh yeah trading view and and run a screener on the highest momentum stocks you'll get an awful lot of garbage that's gapped up like 50 or whatever that's not the kind of stuff a lot of mudcroft cap stocks and things like that that are all over the place that's not really the kind of stuff you want to be choosing you want to be choosing stuff that's got a nice steady path ideally an exponential or logarithmic path up and that's what trend quality gives you it tells you the quality of that trend not just that it's got very positive momentum and there's a screen on that so it buckets out all the things that are looking a little bit messy and then further over to the right we've got um just get the screen out the way we've got um other indicators for We can sort all that as well.

39:41And then we've got free cash flow. That's another one that comes into my factor model. It adds a bit of quality to the view. How well is it showing on free cash flow? But you also need to have a guess out for those that are reinvesting so there's not showing a lot of free cash flow. Z score gives you an indication of how strong is this trend and is it reaching a point where it could be risky? And there's two here that are showing signs of that. So the model of those, that's Smith & Western and Transocean Limited. They're both showing quite strong momentum. Could be thus showing potential bubble territory.

40:19So anything over about 2.5 is bubble territory. There's another signal that gets calculated on the far right, which I won't do now because it takes a few seconds to calculate, which will actually give you timing. So when do we think that bubble might pop based on some math? That's quite a useful thing to know too. and so once you've got all this it also tells you um how the portfolio is balanced because this is joe's portfolio it's all equity so it's not showing uh any what i would normally have core holdings around bonds and gold and real estate and that kind of stuff it also shows your by sector which again is skewed off because jojo's got a different strategy with his portfolio but that's also useful to know am i too skewed in one direction or another and then it runs through a screening phase where it takes uh all the in my universe of assets all of the um equities around the globe in mostly developed markets but a few asian markets as well and says what of these are useful things to be considering adding to the portfolio and it scores those and enriches them with all the indicators that i've just been through on the portfolio screen as well gives me an idea of marking another you'll see there's a bug here which has just crept in today with a change i put in this morning so that is one of the hazards of getting ai to make a change for you that um it makes mistakes so uh what one of the next phases of what i'm going to do with this is is put a front-end test harness on it so that with a model portfolio so that every time i make a change it then uses that front-end test harness to go am i still getting the same information out and can i correlate that to what i expect to see to make sure that it hasn't broken anything and it has with this demo today um and now i think interestingly one of the ones that you just talked about a few minutes ago has popped up on here um or maybe not uh no one of the ones in in joe's portfolio has in fact two smith western brands and um rig are both in here and so that it's it's finding those as potentially good stocks to be getting involved with right now based on all those criteria and you can see here it's got very strong momentum in both cases and they're both still above their 200 mas and and this is also where a few other things come into play like it also gives you a risk reward ratio based on what you would normally to calculate if you were trading this this is not particularly relevant to a portfolio but it does give you an immediate indication is there still some good upside in this or am i getting involved a little bit too late so and it's using the newest um levels of resistance and support to calculate that um and it also runs chart analysis on it too so it's on all of these it will probably find something because it's a probability uh weight is a machine learning algorithm that does it so So if it thinks it finds something remotely similar to one of these, it'll tell you.

43:24But it gives you, again, another heads up to maybe go in and have a look. And again, like the other cards I showed you earlier, you can click on one of these and see a child immediately to see whether that opinion that the machine learning has come up with is relevant to that particular stock or not. and the other useful thing here as well is quite often i find myself going well someone's just talked about a stock and i'm not finding you in here why is that um so um you can also add something in manually and then get it to enrich it so you can see why it is meeting the factor model that you've applied to this um so if i if i try to see actually which is one of the ones that you were just looking at and it isn't in my list wouldn't that be typical for whatever reason okay i'll try what i know is in the list so so that this is a uh quite a popular semiconductor stop so i'll add that in and then i can't reach my there's a can there we go so it's added that in And it's going to put the same enrichments on that.

44:38So it indicates to me there that it's been manually added. And then it's giving me a warning here. That's probably because it's reaching that point where it's looking like it's in bubble territory. But I can also then look at why wasn't this originally selected for the portfolio. And the reason why is actually is the bug. You can see there it has below the level of market cap that I'm interested in. So it's been screened out. And that's because of that bug. But you can see all the other screening elements in here. It's looking at fundamentals for free cash flow and stuff like that, return on equity.

45:13It's looking at earnings data that's come from the ECA feed and FMP feeds. It's looking at all the price history, momentum alpha, so on and so forth, all the way through here. A forensic gate as well. Does this look like it's about to go bust? it applies the Altman Z and the Benesh factor schools to it to work out. If it's about to go bust, you don't want to be involved in that for me as a is a dead gate. If that comes up, I'm not interested. And then it'll also give me a little graph at the bottom to tell me, you know, how does this balance up in terms of quality, momentum and value across the piece.

45:52So that's that. There is something else on here on intelligence. I won't go into that yet. I'll just move on to the through the pipeline stages first. I'll come back to that. So the pipeline stages then go on to, after you've got all of the macro signals, you've run the analysis against the current portfolio, you've looked at all of the available assets and looked at what you might want to be including in the portfolio, then the question is, which things do you want more of and which things do you want less of? And that's where all of these decisions are made. And it runs things like Monte Carlo analysis on that to work out what is there in a random range of situations, what are the probable outcomes for all of these various different stocks?

46:32How might they work or not work in my portfolio and present problems for me? And where am I too correlated? So how many of these things are all going to do the same thing in a bad situation? And is that too much in one direction or another? It'll work all that out for me and give me figures on exposure, sortino ratio which i personally prefer to to sharp ratio because it's it's up only rather than sorry it's giving me a score that excludes um up based volatility which is what i'm happy to have um and not up and down volatility which is what sharp focuses on so then it it splits those out and says well these are the things i think you want to just have less of for various reasons.

47:22And you can drill into these and find out why. It thinks that that's a good idea to be scaling out of that. And it's got five different stocks in there, including some of the core ones. These are things that I think that are on the screen list that you should be getting involved with. These are, I'll put in AMAT twice. I don't know why that is. That looks like another bug. but it's picked out applied materials micron lan and cf industry so these are kind of all the same direction that we're seeing so it's it's it's kind of reassuring that when it applies the logic it comes up with a lot of the same things that um just in a discretionary way you would come up with too so it's it's finding ai it's finding data centers it's finding um semiconductors And then it also has another sleeve here for leverage position.

48:17So where I might want to scale this up and really lean into this as an extra bit of alpha I can apply to the portfolio. So it will then give me an idea about how I should do that based on all the metrics it's gone through. it and then finally um and it also sort of just identifies going back to the balance and color relations it reframes that as well and tells me where there are areas that i should consider um changing things now it's coming up with a lot on this again because this is joe's portfolio which is very limited mine is much broader than this so it does cover more of these so then the final stage then once you've got an idea of what you the sum total of of the changes you want to makes the portfolio is how you may go about making those changes.

49:09So then the execution side of that is, is it a good time to be buying these or not? And actually with the current situation in the Middle East, it is a good time to be buying things. There are probably a few concerns about where the VIX still is, but it is pulling back. It's a little bit lower than it was. S &P has started to recover a little bit today and looking at where the levels are, there are some levels of resistance just above it so you might want to think about holding off a bit there put call ratio isn't showing enough data yet i that's a data problem i haven't collected enough data on put call ratios yet to be able to make a decision on that um and it so it's giving me an indicator top right there that this is favorable for buyers there are five signals that are saying this is quite a good situation to be buying things in and then telling me how to do that so there's also the sales as well in terms of scaling out.

50:01And then all I think the positions to open. And then I can action those on the far right. And these don't actually go off and do the deals. I do those manually in all cases, apart from the leveraged. And I've got a trading element to this as well, which that is automated. But the investment side of it is manual action. so that's the final stage there i'll just show you uh the some of the top headings as well briefly so in the portfolio view you then get a view of what's the total value of your portfolio you can also upload if you've got portfolios in different places which i have you don't want to be typing them in all by hand so you can just upload a csv of all the portfolio things you've got most brokers allow you to export those so you can bring them in um you can also import individual transactions so if you've uploaded one as i did a while ago and then you've made some transactions since and they're not reflected in here you can then import the transactions and it'll re-reflect those those changes um and and you can save multiple portfolios you can have as many as you like um and i'll show you where you are in terms of total value what gain and loss is now i've put these in based on what joe's portfolio was originally uh purchased that so it's a bit skew with, but it's just to show you and illustrate what it does.

51:27And then it gives you a graph of how is it performing versus the other main benchmarks, so the S &P, the NASDAQ, and for me being UK-based, the FTSE 100. And it's a little underperforming now at the moment, and that's not surprising given this situation. The FTSE 100, for the first time in half of my lifetime, is actually doing quite well. Most of the time it goes nowhere, so that's quite unusual. And then for the purposes of anything that attracts tax, it also does some tax calculations on the portfolio and then summarizes them by the two sleeves that these sit in. So core and satellite sleeves.

52:06Now core is basically reflects the factor models applied to those different portfolios. Core is what you might think of as a risk pirating portfolio. those things like cockroach portfolio or weather portfolio those kind of things where they're pretty much buy and hold and they are equal allocations virtually across real assets bonds equities and real estate and probably a bit of cash too so that this is this is not really quite right for that but that's that's normally what you'd have in there and that's what i've got a mine split roughly 50 50 between a core portfolio of exactly that and then the other 50 percent being discretionary things as a discretionary sleeve here where the things i just want to play around with that would not get through all the factor models and then there's other things that are in fact models and i can have multiple of those um that that fit into all of the satellite sleeves and then then just a bucket for the cash at the bottom that's available so alan we're

53:08Kris Bullock:actually coming up on time so i actually wanted to to to just use this moment because i'm sure Chris has some questions. I have some questions, but Chris, I'll let you ask your first round of questions if you have any. So yeah, I just want to say to start again, two weeks in a row now, just amazing, amazing products that these guests have come on and presented to us. So this is fantastic. Alan, can you tell me, let's just start out from the beginning. What did you use to build this and how long did it take like what what structure what program yeah so so i used everything i used gemini i used um open ai i used cloud code and i find that each one is better at something different so gemini is very good at front ends it did most of the front end styling but it's also quite good at doing requirements and design documents to go with it i used OpenAI also for the required specification side of it.

54:12And I used Claude Code for most of the coding and building. And it's excellent at that. And all of the analytics and algorithmic stuff, it's really good at that. Interesting. So in terms of time, it was about six weeks ago that I started it.

54:28Kris Bullock:Six weeks. Okay, okay. I mean, that makes sense. So talk a little bit about how you got like Gemini and Claude to work together to do the front end on Gemini and connect to the back end through Claude? Right. So I use some frameworks that some people might be familiar with. GSD is the main one. You also use SpecKit. And they're available on GitHub. They're free. And they allow you to create framework and guardrails around what you build in terms of specifying it testing it verifying it validating it and then running it and defining phases and a roadmap for how you want to build it and that puts some discipline around how you you set about building it it's overkill if you're just building a front end for the dashboard of just if i was just doing the macro stuff, it's overkill for that really.

55:24But for this whole thing, it's really, really essential.

55:30Kris Bullock:Now, you mentioned something about to kind of get it as cost effective as possible using a lot of free APIs, right? But you have AI kind of giving you an analysis and telling you what certain things mean and reading into it. When you do that, Is there a cost associated with that? And which LLM are you using to give you that analysis? So I'm using a blend of on-machine local LLM and API-based LLM in the cloud. So the stuff that's complex and hefty goes off to the cloud. The simple stuff, like summarize this or give me an analysis of this set of numbers, that doesn't take a very hefty L &M, so that can be done locally.

56:22And I use Ollama for the local stuff.

56:27Kris Bullock:I'm sorry, you use what for the local? Ollama. Ollama, okay. Ollama, okay. Ollama.

56:36Kris Bullock:And for the, which API do you use for the ones for like some of the heavier stuff? Have you been finding more useful? Are you using like a drop, a claw or something else? Yeah, mostly Claude. But to be fair, I think for most analytical reasoning type tasks, they're all probably pretty much as good as one another. If there's a financial bias to it, then Claude probably has a slight edge.

57:06Kris Bullock:Chris, you have anything else? soon? Well, I did just want to say, I love this. And I, I, the only thing I fear is that some of the people who are watching this that are maybe new to AI and are thinking, oh my God, how can I, I wouldn't even know where to begin to do this. I want to encourage people to come on and, and still show us the things that you're making too, because it, not everybody's going to build us out of the gate. As amazing as this is, I still want people to come on and show anything that you're making, because no matter how simple you might think it is, because there's always somebody who maybe knows less than you.

57:38Kris Bullock:And I want those people to see this too, because this is wildly inspiring for me. And now I want to go build something just like this. But I want, again, just whatever it is, whatever you've built, no matter how silly you think it might be, come on and show us, because we want to see what everybody's doing right now. So, yeah. And Alan, I think you mentioned you do have a software coding background. Is that correct? Yeah, I was going to say, it's a little bit unfair, because I could always build this myself. So building it with AI was easy for me. It was easy for me to work out where AI was going wrong and correct it.

58:14And if you tell it what to do, technically tell it what to do in very specific terms, it gets it right and fixes it. But if you just don't know, it's very hard. If you're just saying this doesn't look, if all you can say is this front end element doesn't quite look right, then AI is going to take a lot of cycles before you. Right. Right.

58:35Kris Bullock:It might take quite a few iterations and you might run out of credits before you get to it. But right. Yeah. And by the way, you know, anybody who needs and would like any help, I'm happy to answer any questions outside of this. And, you know, message or whatever. Yeah. Now, now it's OK. So you and then I know notice at the beginning when you're talking about that. Right. So you said you do have an AI background, but if you ever have a tech coding software background. but if you were it would have taken you so much longer to build it right yeah then then you did now if you had to guess right just if you were to build this manually with you know the skills you've gained coding throughout life without ai how long do you think that would have taken you to build something like this if it was on my own it would literally be years because um it takes so long to do all the research and and i again being familiar with it i was able to i didn't just do this with one agent on one terminal i did it with four or five across multiple terminals all working simultaneously again if you've got a roadmap on a plan you've got multiple phases you can work out what jobs to do in parallel you can even go to bed and leave it to do it overnight get up in the morning and see how it's done so you know it it massively increases your productivity So anybody who thinks, whenever I hear AI as a bubble, I say, you've got no idea.

59:56Kris Bullock:Yeah, I just think about what this has done. You're someone with a coding background, right? And then just how much powerful this has made your output and fictions has made you is just absolutely incredible. And then I think of it for people that don't have this background, even still, maybe you're not going to get it just like this. or maybe it'll take you, it took Alan six weeks, maybe it'll take you 12 or 18 weeks to get this output, but you will get there eventually if you just put in the effort. And what I'm basically trying to say is that if you're someone that has the ambition, you have the work ethic, AI is just gonna make you like superhuman essentially and really just make you that much better than people that aren't using it.

1:00:43Kris Bullock:Even like someone who may be smarter than you, you know maybe have gotten better grades maybe they went to a better university they graduated summa cum laude that's all fine and good but if you're someone that is like okay you might be smarter than me but i'm willing to work like 12 hours a day and you have ai you're better than that person that's just it's just an objective truth you know what's up bj can i just say one more thing i think what you've hit on there is one of the most and this this is important even for someone like me who's familiar with it one of the most important things to do to get it right is to decompose it down into the simplest pieces of things that you need and just build those things, the simplest thing first, and then add on another simple thing and then another simple thing.

1:01:25And that way you get where you want to go gradually. Don't just don't try and just do it. Don't sort of put in a prompt for this and say, build me a portfolio manager. It will not work. It's got to be very specific, small bits, incrementally built.

1:01:40Kris Bullock:Well said. I think so. And I think a lot of people sometimes might, might get very a little too ambitious when they're building this out right and i think that's a very important step when you when prompting with anything really i think the simpler you start and build and get progressively more advanced that's how you're going to get the better output and save yourself time in in the process yeah fantastic well alan absolute pleasure i would Definitely hope to have you back in the future so we can see how this is progressing. See if you've added any new bells and whistles to this. But it is truly impressive.

1:02:21Kris Bullock:I think, you know, I don't, I'm not someone who generally has access to institutional level data and dashboards. But this feels like something BlackRock, you know, portfolio manager would be using on their day to day. You know, so it's just truly impressive stuff here, Alan. thank you for that appreciate it it's not quite what they'd use but it's not far off

1:02:48Kris Bullock:well guys thank you for tuning in this has been another edition of training the markets with ai like chris said it doesn't matter what you're building uh whether you feel it's super advanced or just super you know basic we don't care you're working with ai and you're already ahead of most people so we want to see what you're building chances are you can inspire someone else to build something uh as well so come on reach out to myself and um come on the show and just display what you've got until then we'll see you guys all next week have a great week don't fuck this up everyone you obviously enjoyed the episode because you're here with me at the end but listen don't forget to go to realvision.com forward slash join and grab a free membership it's an incredible community packed with alpha, great investment ideas, and the research that you need to help you unfuck your future.

1:03:42So get started now. Go to realvision.com forward slash join.

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