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Del chat al Sistema con Claude: Bienvenido a la Ultraproductividad

2:24:03EnglishTranscribed Jul 28, 2026
0:00

Well, now yes, very good afternoon. I was going to say tomorrow night, it depends on where you connect, but I would say that most of you connect from the peninsula. Let's start with our fingers on the keyboard and let's start by saying what you want and from where you connect. To see a little from where the audience comes. Those of you who are here in the chat, you know that below you have those of you who are in Zoom, below you have a little button that puts chat. Come on, tell us there.

0:25

¿Desde dónde os estáis conectando? Y si puedo pedir otra segunda pregunta, la respuesta es sí o no.

0:42

Spain, BCN, Zamora, Santander, Tenerife, Elche, Salamanca. I am your neighbor. Can you catch me? Yes, you can. Segovia, Mexico. I am not focused with my neighbor. Venezuela, Ciudad Real. We are moving forward. We have the vast majority in Spain. Now, double answer. Yes or no. Have you ever used Clot? Yes or no? No, no, no, no, no, no, no, no. Yes, yes, yes. No, no, no, no, no, no. Yes, no, no, no, no, no, no. Let's see.

1:11

What would you say? 50-50, more or less? There goes the topic. Last question. Last question. Last question. Okay, we stopped for a moment. I don't know where my hands are. Last question. Do you use Cloth in a regular way? I mean, in your day-to-day, five, ten times a day, in a regular way? Give it to me.

1:33

No, no, no, no, no, no, yes, no, every day, yes, yes, yes, yes, yes, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no

1:57

Good afternoon, Alfonso. Just a headline. As you are leading the first edition of CLOT, well, there are a lot of us, from what I see. They are already telling you, Alfonso. Alfonso, as you are leading the first edition of the members, the people of our community who have already started the formation of CLOT, what would you say is the most relevant of the before and the after? How long do you think they have been? A month, approximately? I would say that they have been a month. I think that, above all, the comment that comes back the most

2:27

I thought I knew about it and I just discovered that this is a new world. People who came from using ChatGPT in a very powerful and repeated way, helping them with their daily little things, now they see that they can automate from 0 to 100

2:48

Parts of their work, parts of their lives, and that they really have someone by their side who is capable of bringing out quality work and just as they want. They are already members of the Artificial Intelligence, but what you say is that they think they know how to use it, but this is another league.

3:08

I would say that it is a paradigm shift. And let's not forget, this is since January of this year. Before January, what we are now able to do, we were not able to do. And within probably six months, we will have another small paradigm shift or a great paradigm shift.

3:25

But the truth is that these models are more and more intelligent and right now what used to matter so much was to make the perfect prompt or to do... It's not that important anymore. It's not that important anymore because the model thinks much more for you and here the important thing is going to be your criteria, your taste, your way of doing things. It's a change, it's a change. Look at the...

3:45

And to have the right infrastructure, which is what we see a lot in the course, so that the output you get from Cloud is 100 times better. For me, that's the big difference. We've been talking a lot about prompts, especially Iván, who is also with us. Iván, come here to the stage, please. Andrea, put me here next to you.

4:05

Ivan, how are you? Good afternoon. Hello, very good to everyone. How are you? Hey, you have given a lot of weight to our entire audience with the topic of proms. You have invented formulas and reformulas to teach people how to do the best prom. And now we have Alfonso who says that, man, prom, proming well is fine, but the part of the context and teaching it gives us much more power. What do you think? Well, we are seeing a change of paradigm and we are moving from the conversational IA to the agentic IA. That is to say,

4:33

Until now, we interacted with Laia through a chat and we hoped that she would respond in text, as if she were talking to someone through a chat. There was a lot of knowledge, ability to analyze, but in the end it was that conversation we had in text. I think there is a paradigm shift and now we communicate with Laia

4:54

with Laia to do things, that is, to help me in a presentation, to help me organize some files, to create a code and the answer that Laia gives me in text is part of his work to help me understand what he does, but really the models can connect with a lot of tools, they have a lot of tools and this is a brutal paradigm shift because

5:19

This was reserved for those who used to do big engineering projects to automate things, but now it's a conversation in CloudCobork. Let's stop here, let's not go into more theory, let's go straight to the point and we're going to go through all these points. But one very important thing was, wow, how good Ivan and Alfonso were, because this has been totally improvised. First, I'll go to Emanuel next to me, to see what he thinks about this.

5:42

What happens is that before he had to answer something and we asked him the right question. The problem was the host. Act as such, you have this, so many years of experience, I want to do this. But now he no longer has to answer something. Now he has to do things. Alfonso told us that he is a headhunter until he gets it, because he is like a motivated lecturer. So if he has to do things, he has to have all the context of what he has to do. So let's see a little with the common sense that we are understanding that as the IA advances,

6:11

We don't want him to just answer us and so we do the "good prompt" which I think is still important. But now he has to have much more context for other things because he has to execute a more complex task. Noel, you, who also not years ago, like everyone else, because I think the first ones, Alfonso is a titan of this, of Claude, he got, I think when they had invented Claude he was already dancing by the sack and on LinkedIn talking to everyone about something that no one knew if it was his cousin or what it was, and it was Claude.

6:35

You do less, like me. What do you think of this change, this before and this after? Very short, before we get into the big picture, because we're going to go to the cases. What do you think?

6:43

I think you can win a lot of time, for example, in the cases that we are going to see. That is to say, before we would have had to be in front of the screen and be talking directly with the chat. Now you can tell him, hey, you do the work, I continue with mine and in the end you give me a result that can then be more or less good and that you can refine. But I see the change there that you have.

7:07

como un super becario, porque creo que es más que un becario, pero un super becario tienes a alguien que está trabajando para ti. Y vamos cada vez más ahí. Y esto es superpotente. Y lo vamos a ver con casos reales ahora mismo. Solo quiero que respondáis sí o no. Los tres. Esto es difícil. ¿Pensáis que vamos a seguir conectándonos nosotros a softwares

7:30

to see how the account of our bank is, to see how our CRM is, to see how the advertising is, or are we going to connect to a single window that will be Oiklot and it connects to our universe? Will we continue connecting to the frontend of the software or will we connect to a single window that connects to all the softwares? The question for you is whether or not it is. Will we go to a single window, Alfonso? Yes. Iván?

7:58

I think so, and if we read the market of values, I also think so. Because of what is happening. - Manuel? Yes, but I'm going to say a "but". I think we still can't let the AI do everything. In the sense that you have to keep controlling very well, because if not, it can mess you up a lot.

8:22

If I can say the but, it's a unique window, but that unique window is neither Cloud, nor OpenAI, nor anything. It's your dashboard, your mission control, or whatever you have, that adapts to the moment of the day, to where you are, totally contextual to what you do. Very good, let's see it. I agree, always with supervision.

8:43

-

8:59

But we can say one thing, even if we have to do 10%, if we do 90%, we have earned a lot of time. So today we will see how we can increase productivity immediately. Because today, you take me to my collaborators, well, my colleagues from here, who if they don't stop talking, I want to go to the turrón, Andrea, thank you. Today we are going to talk about productivity. We have talked a lot about Clot, but today we are going to focus on the productivity part. What you are going to see today is going to be cases.

9:25

I don't know.

9:48

You will get a lot of ideas. And if you don't get ideas at the end of the webinar, it's either that you fell asleep or that we haven't done our job well. We hope it's not either of the two. Let's get to the point. Let's start. So, I'm going to share screen and you're going to confirm that we can see the faces of the four on screen. Can we?

10:10

Yes, yes. Perfect. Well, here we are in this masterclass of Clot, in which we are going to make special emphasis on productivity. In it we are going to be both Jean, Alfonso, Iván and me. Each one will present a case. At the end, as always, you have asked us, whenever we do these directs, you ask us to give you a diploma as you have been and you have attended. This is going to be less, you are going to have at the end of this live the diploma Clot.

10:34

How does it work to get this diploma as you have acquired this knowledge, you have been in this session live with us? It's very simple. At the end of the live, we will give you a QR code or an internet address, whatever each one wants, and when you click or scan the QR, it will take you to a form where there is only one field.

10:54

And in that field you have to put a code. And that code, as you can imagine, we will give it to you at the end of the session. With that code, it is downloaded automatically with your name, your email, everything, your own certificate. Okay. Also...

11:09

If you want to enjoy the full experience, we will stop for 20 seconds because within the WhatsApp group in which some of you are, but not all of you, we are going to complement everything we are talking about during today's session with the e-books, the chuletas, our little tricks that we are going to talk about, we are going to pass them through the WhatsApp group so that we do not stop the live and they are coming to you.

11:32

Tenéis el código aquí, por favor, compañeros, si podéis también poner el enlace directamente en el grupo, en el chat, para que todo el mundo pueda verlo si no quiero hacer el QR, y nos damos 15 segundos para que ya os quede grabado. Simplemente es uniros y os irá llegando solo, no tenéis que hacer nada, pero os aseguráis que tendréis todos estos materiales preparados. Venga, 10 segundos, 4, 3, 2, 1, listo. Vamos al lío, descomparto pantalla. Venga.

12:06

Let's go there. So let's go with the first case. Let's see, I'm going to copy here. One second, I copy a prompt that I already have here. Okay, so this first case we are going to do for those of you who have followed us, because we were preparing this masterclass. We had talked a lot about when we have an idea, how to ask Claude, how would you paint that idea or how to do it so that that idea gives us money.

12:38

What happens? We have an idea, well, in fact, we have many, during, along, the most creative you have many a week, I can think of a couple of ideas a week, but then you have to do the numbers. You have to understand what has to happen for that idea to generate a business enough for me. And that is to put an Excel in it, and we all know that when we already pass to the part of numbers, well,

12:58

costs, not only the money I think I'm going to get, but how much it's going to cost, the marketing, the workers, the P&L, the margin, the margin of contribution, the gross margin, the EBITDA. You have to work a lot on this to see what it looks like. What happens? That many of the ideas, in the end, stay in that, in ideas, in a coffee, in a beer with a colleague. I had thought of this, but you never just throw it away.

13:19

You need to overcome the part of, hey, let's do an analysis of really this, what would have to happen for it to work. Let's do a financial analysis, which I know that the word, well, for many is very boring, but it can also be very nice. Because Easy Cloud...

13:36

to see what has to happen in my idea, what has to be done so that I can make, for example, if I want to make money, the little money that I'm thinking. So, we're going to use Clot to do all the hard work so that we can create ideas and make the simulations very quickly of what it would mean or what would have to be done, better said, for that business to work. Let's go there. I'm going to open an Excel. I'm going to share the screen again. And I'm going to open an Excel from scratch.

14:10

Here it is. We open an Excel to see if we can follow it all. Here we have an Excel. You can see here. I'm going to take it out of here. This Excel is blank and what I'm going to do is open Cloth inside Excel. We open Cloth. We also saw this in a cafeteria with Ivan. We open here. So now I'm going to give this Excel information and I'm going to tell it.

14:36

Here what I do is, Cloud will handle this Excel that as you can see is completely blank. I will copy it and leave it working and now I will read you directly what I have written. Just a second, I'm going over there. Look, this that I put on the screen, so that you can see it a little bigger, is what I have written.

14:57

I want to build a monthly financial model for 24 months for an online micro-academy, like a school like mine, online of artificial intelligence, which is for self-employed and small businesses. Imagine that I had this great idea. The business works like this. Look, the product is very easy. As people want to pay subscriptions for everything, it will also be a monthly subscription to an online training community. How much are they going to pay? Well, 49 euros a month per student.

15:23

In the first month we will start with 30 students. New students will grow 20% per month and 8% per month. Every month we will put 20 new students and we will start with 30. And I have estimated that the growth will be 8% every month.

15:43

How much will they fall? Because of course people will give it high, but how much will they give low? Well, 6%. Every month there is a 6% that is low. How much does each student cost me? Well, hey, the variable cost per student, not fixed costs, variables, 4 euros per month, I calculated more or less. Then you will see that this will change everything. Fixed costs, wow, because I will have to take software tools, a platform to generate the community. I'm going to go out for a moment to see if it's working. Look, it's already working, you see? It has changed some things, hypothesis, model.

16:11

I'm going to continue here. The tools, in marketing we will spend 500 euros a month during month 1, but then we will increase to 1000 euros. Administration costs. The initial investment, well, come on, I'm going to put, there will be to invest, sorry, 2500 euros in a web, a brand, more or less, and an initial box, well, I will start from when I have 5000 euros saved, well, this is what I have, okay?

16:30

The taxes, well, you know, the social tax, 25% on the tax on the positive benefit. And what do I want to see? The income, the costs, the benefit, the accumulated monthly cash, the break-even point, when I already earn the same as I spend, and the month in which I recovered the initial investment. Create a clear sheet of paper with a section of editable hypotheses, that is, this that I have created here. Everything I have told you I have just created, you see it here behind me.

16:54

Also giving a monthly projection of 24 months, I calculate the active students that I have every month, the high, the low, the income, the variable costs, the fixed costs, the evita, the taxes, the net profit, the final box. It's not that I'm interested in everything, but to see the real money, that we cheats a lot, the entrepreneurs. No, this pays 1.40 each and if I have 100, well, I already have 4,000 a month. Well, plus everything you're leaving on the way. Here, this makes everything clear.

17:20

I also want a small summary section of the KPIs of the main indicators, formulas always editable, so we can model everything, no static values, visual format and clear. Well, this is the prompt that I have given, I am going to remove it from here, and this is what it is still doing, look, I think it has already finished, now yes. Look, what it has done is, we are going to go here to the hypotheses, we are going to open it, look, hypotheses, I am going to make it big.

17:43

We already have a hypothesis. And he says, look Xavi, what you told me there is that the price of the subscriptions is 49, initially they come out with 30 students, well, you all know this, 8% growth, 6% of people that I am losing month to month, variable costs, software, version initial, initial box, tax type, social investment is 25%. Perfect, well, this is what we call the assumptions, we want the business to go this way.

18:09

Okay, then he has thrown a model. Let's see what he has done. Look, I'm going to make it a little big, let's see if you can see it, but as you can see here, he has thrown the whole model, okay? And if you see here, hey, month to month, month one until we ask him 24 months, well, here you have it, month 24. If everything goes well, as I have said,

18:27

Well, look how fast we can have answers to what it means to grow to an 8% and decrease the charm to an 8% versus 6%. What does it mean? Well, here we are seeing the students at the beginning, the new high that are entering, the charm, how many we are losing every month.

18:49

the active students that we have left, which would be the rest, the 30 plus the 20 minus the two that we lose, the 48. How many income? Well, look here, that when I click, it's all modeled. It's in the B7. We are multiplying this box by the hypothesis part. That is, it has gone here, it says, hey, well, you go for 49 euros.

19:14

This, what is in blue, means that you can change it and all the values will change. You have everything absolutely modeled. What is the variable cost? Well, you realize that variable costs are really very small. Here we have it. Therefore, it is a very scalable business. First, information that we can have. How much tool cost, software, well, fixed costs. As you can see here, fixed costs don't go up much. Elevita, hey, how much am I going to have?

19:39

which would be the difference between what it is costing me and what I am entering. In this case you have two types of costs, the variable, you have already separated it, look, the variable and the fixed cost and then it is subtracted from the income that we have had. Here I have that month 1 I already earn 1290 euros.

20:01

The net profit because I have taxes. Look, here he has calculated the taxes month to month. In reality, I would have to tell him, hey, well, look, I pay the taxes month to month, unless we provide them. I pay the taxes once a year, so I can play with that money until the end. Here we have the initial investment, the cash flow. Hey, well, I'll start with less than 1,500, which is the investment I made initially, but the accumulated cash that I have when I leave is 3,500 and so on. The first month I lose, but as I had, I had started with 5,000 euros.

20:28

So...

20:40

It is assumed that if I want to see how I will go in two months, two years, month 24, then this box in the month 24, being real and not having hired anyone, notice that Freeland Support, well, I have left 400, which is not realistic to think this, I would have, for example, to say, hey, well, scale me the costs of Freeland in proportion to the income and look for a formula that makes sense. But right now I would close a box in the 24 months of 282,000 euros.

21:08

Luego puedo pedirle, como le pedí, una hoja de resumen, como veis aquí.

21:14

in which I can tell you everything. At 24 months, because I wanted to tell you, hey, Claude, tell me how this is visualized at two years. Is it really money? Is it not money? Do I need investment? Do I need investment? And look, when you finish at 24 months, you have 900 students, the monthly recurring income is 44,000. And you say, but let's see, how can it be if they were 200 and a bit in two years? Well, look at the model.

21:41

Let's see if it has the MMR, let's see if it has it somewhere. Evita, income, here, here, here, here, here. Of course, what happens? That the monthly income goes up. Notice that it is like a compound interest, they go up. Every month I have more income. It means that the next month I will have the same as that month, plus the new ones. And there comes a time that if I projected 12 more months, this number of accumulated cash would change a lot, because we already start from 44,000 euros...

22:10

monthly recurring, which is the monthly recurring revenue, the famous MRR, which is what you see here. So that tells me that within 24 months this business volume, if it fulfilled what I proposed as a hypothesis, it would be generating 44,000 euros per month. Total income in 24 months in this model, that is, from 0 to 24 months would be this, the accumulated EBIT would be this, because of course I have costs,

22:37

The net accumulated profit would be this and the final box of 24 months would be 282,000. Hey, when do you have the first month with EBITDA greater than zero? That is, when do you start to earn a little bit, not even a little bit of money? You are not in losses. He tells you, look, this Xavi model puts you, as I have put, an initial investment cost, sorry, not a cost, not an initial investment of 5,000 euros. Well, quickly, as I would say, small costs. Quickly he told me, look, you are in EBITDA positive since month one.

23:04

When I have, well, here you can imagine when you recover the investment of 5,000, then in month 2 you recover it, etc.

23:10

This lets us quickly see how big, how small it is, but above all how reasonable it is. That is, hey, if I grow to 8%, what happens? Am I able to grow to 8%? If I see that 8% is a barbarity and on top of that the little money it gives is nothing because it does not keep me, then I see that this business would not work. Here I just have to change numbers to see how everything you see here is being modeled. As you can see, the only thing I have done is put a text, which is the text you see up here.

23:40

In fact, to be completely honest, it is a text that Clot also gave me. I made an audio and I said: "Look, I want to make a business model with a school, as I know my business, I told him a school that would make so much, that would do so much, that a charm, that such and such." But now we are going to say: "Hey, Clot, I like what I'm seeing, imagine that I like it, to put it only as a freelancer, I like it." And now I ask Clot:

24:05

¿Qué tres variables tienen más impacto en que el negocio funcione o no? ¿De qué va a depender que esto funcione o no? Y me dice, mira, en el número uno, aquí está, en el número uno, bueno, se va a ir, lo va haciendo, al final me lo hará, responde...

24:25

He says, look, clearly in the number one, the monthly chart, if you are going to lose the number two, the monthly growth, I would say that, well, he put number one, two, the three levers that move the most the result. I don't think they are in order, but clearly it is how much you grow, how much you decrease, and the price. Of course, you can put one thing or another, it depends on the price you can put. I say, okay, perfect, let's continue talking about business. And now I tell him, let's throw him another prompt.

24:47

And this is what I like, that from now on we can start talking about business. Look how long it took us to give him an idea and tell him, hey, if this would work, let's talk a little bit about what he can do, what he cannot do, what are the risks, what are the levers. And in this I told him, let's see, I'm going to move the prom to the screen here, look, I like this one.

25:06

I tell him: "Add to the model a section of scenarios with three options: the conservative and new students who grow only 3% per month instead of 8% to 3%, I lose to 9% and marketing remains the same. Keep the current hypothesis and optimist, new students who grew 12%, I lose to 4%, marketing goes up to 1,500 euros per month from month 7."

25:34

Okay, let's see what it does in this scenario. And it tells me, hey, I want to add validation to the 2.0.3. In this case, yes, I'm going to add validation. Notice that it's creating scenarios. This wasn't there. A moment ago, these three, as you can see here, weren't there. Now it's creating three scenarios. Let's see. It's still creating them. Optimist. Now it's creating the optimist. It also surprises me a lot at the speed that it's doing things. It's doing the calculations. At first, it would have finished.

26:17

Notice that it has asked me for permission to put a selector here. You see that it has now put a selector that this was not there either. Imagine what we would try to do. And now what it has done is that the model, the model that was here, is not all blue now. Notice that there are things in green. Why? Because it has indexed some parts of these indicators here, which are now blue. Because I can tell you that the monthly growth of high, now it is not fixed at 8%, it depends on what is the criterion that I take. If I take the optimist...

26:47

Look, growth is 12%. If I take the base, I go back to 8. And if I take the conservative, which is the pessimist, it goes down to 3. If I take the optimist again, we go to the model and everything changes. As you can see here, the boxes change. We are already at 471. We are changing. Let's give it the last one. Let's see if it takes it. One second. Let's give it the last one. Here.

27:18

Let's do the sensitivity part. We say, create a sensitivity table that shows the box at the end of the month 24, combining different prices and different levels of charm. We are going to combine the prices differently. What would happen if it went up 39, 49, 59, 69 and the charm, the losses were 3, 5, 7, 9, 12. I don't know where it's going to move, around here more or less. Let's give it to him and let's see what he creates. Look, we throw it.

27:44

Let's say I make a simulation. Hey, maybe the price, 49, I can raise it a little, but it probably loses more people than I think. So give me a compromise between where I'm good, where I'm bad, where I break the business, where the business is still working well. If I raise the price a little, but I lose a little more people, do I realize it or not? Or the other way around. If I lower the price a little bit, but I manage to feed more people by price, what would happen? And that's what he's going to teach us.

28:09

Anyway, since it's going to take a while, I'm going to show you how I did it here. Oops, one moment. Here it is. I did this a little earlier, so you could disconnect it. And here you have it. Look. What it did to me was, look at this table here, which in the end has some colored semaphores too, and it says, look, here you have the charm, the people you lose every month.

28:32

If it's 3%, 5%, 7%, 9%, or 12%, and the price of the month, if it goes up 39%, 49%, 59%, or 69%, obviously the best solution would be the highest price to the lowest loss of people every month, 3%. That's why it's green, green. And the worst case is 39%.

28:51

Well, but...

29:07

And probably if I put 69, I can't stand a 3%. We have to start being realistic. And then when we see reality, we can draw different scenarios. But look at how this is giving us all the simulations to understand how much money there will be in the bank if it is fulfilled A, B or C in the business that we are visualizing. And we can think that this is a small business, but last week I was modeling another business

29:33

for a fairly large company, and look at the hypotheses, I'm going to do it just so you can see a little bit of the size of what we're talking about. These were the hypotheses that were modeled for them. This is the P&L that was thrown for them. I mean, it was all done automatically by Cloud. Look at all the P&L with all the lines, income, trade, margin, product margin, etc., etc.,

29:51

all the cash flow part, where we were with the cash flows, all the balance part, we also have it here, indicators, what happens if we change the inputs, as we said, the charm or also the price of my online academy, but here the business was more complicated, you could touch any of these things and in the outputs it changed the entire business model and you could see how it was affecting on all sides.

30:14

And then the graphics and KPIs part. But we went further and said, "Wow, it's a bit of a mess to have to come here to the inputs." What would happen? I know you don't see anything on the screen, but that's not the goal, to see it big. What would happen if I change any of these things? It's a mess to see it here and change the tab and such. And what we did was take us, you know that with Cloud Cowork you can also take it to an online simulator to see how it looks. And look here, you're going to see it, here it is.

30:43

I made a financial simulator with them, in which all indicators, as you can see here, all change depending on how I alter the input. Look.

30:53

So,

31:17

I'm going to close here to give way to my partner Iván, but what I want us to keep with this example is not if we are going to set up a business or not, but the capacity we have to put ourselves to think in business and leave Claude, for example, in this case, to do everything that would be necessary

31:37

all the structure, the models, that's quite black and white, there's not much, there's no gray there. You have to do it like this and it does it and it does it well. In the other case, we did the dashboard part, how everything would look, we can do it in Excel or we can do it in Dashboard. In this case, I have taught it in Lovable, which is another tool that also in Cloud Coworks you can do something very similar and there are several tools to do it. But look how much time I have now to start thinking

32:07

If this business is feasible, no. If 8% of loss is feasible, no. The growth, no. Versus modeling. I'm there correcting all the... I could be there for days, if not a couple of weeks, modeling absolutely all this. Well, before we continue and move on to Iván, tell us more or less how we are doing in the chat. How are we doing? Is it understanding? I know we don't see all the numbers, but how are we doing so far? Do we make a stop at the top of the road?

32:32

Let's see if I can read over there. Come on, we're going to be a little late in the chat. Let's see, let's see how we're going. I don't know if the chat should be activated. It could be, Andrea. It's still deactivated. Now it's activated. Let's see, come on. We're doing well, well, yes, yes, yes, well, perfect, great, all right, well, we're going to be amazing. A crack, well, well, everything is perfect, very clear, well, excellent, worth it, Xavi, very interesting, very clarifying, well, we're going to be fine, comrades.

32:56

I insist, maybe in your case it is not to set up an online school, I hope, I don't want to be called competitors to the top, but I understand that we do know what we are trying to say. Iván, come here. The other day they sent me an email, Iván, and they told me that palestra, if it is well said, I can say come to the palestra. But my Andrea says, people listen to you in the cafeteria. Come on, Iván, tell us, what are you bringing us here? We don't hear you.

33:24

I'm going to talk to you now about a tool for designing. In the end, presentations are one of the things we do the most and there is always a cycle that happens to all of us, right? That we have to present something and we spend a lot of time preparing the structure of the presentation, organizing it, assembling the design, moving boxes, copying graphics, changing colors, changing titles. And we are there in the PowerPoint, in Canva, in whatever you use, for hours.

33:53

so that when it's time for the presentation, we realize that we haven't spent any time thinking about the presentation and preparing it. We've been there all the time playing with PowerPoint. So, well, I'm going to solve that problem. How can we automate that creative process? That, once the rules of your brand are created and you are clear about what the graphic style is and how you want to communicate, it's always the same. It's a pretty repetitive job.

34:22

Cloud Design is a tool that designs things. So, what you mean is that the problem is over, or we're close, Iván. We're close, you're going to tell me. No, it's not over, Xavi. We're close to being able to finally get material out

34:37

presentations, carousels, fulfilling our corporate identity. That "No, this is not going to be fulfilled, it's invented, it's the design that gives it, it's very nice, but it's not ours. We're close, you're going to teach us things, tell us. This is already one of the great dramas we have. A year ago you couldn't even put your logo in a presentation generated by Unaián. Today we will see that not only your logo, but your sources, your colors, your graphic identity, even your brand name.

35:06

Let's go there, we leave you the whole stage, Iván, everything for you. Yes, more than for a case, what I carry are many impacts so that you can see many ways to use that solution. Because when we talk about design, really Cloud Design is a HTML modeler. HTML is the language that is used to model webs, the one we see when we browse the web, but it has a lot of uses because HTML can even be animated. That type of

35:33

and creativity that you see here, all are made with that tool. For example, a flow of onboarding of an app, a web page as such, a little more creative animations like these that you see here for animated slides, PowerPoint, that is, the concept is very broad, okay? We keep the idea that it is a tool for doing presentations, it is, but it is much more than this, okay? And this is a bit what I wanted to start with.

35:59

When you start in cloud design, the first thing you're going to do is create your design system. What is your design system? Your design system is basically the identity that your brand has, the visual identity. There are brands that have not worked very hard on this, such as Growit, and they already have a lot of logos in different backgrounds and colors. They also have typographies.

36:23

They have selected typographies, they also have examples of images, resources that they use very often on their website and presentations. They have pieces of social networks, of designs that they have created. Hey, there will be people who have it as a very, very deep, as is the case of Growit, who have worked a lot on this. There will be people who have it much less prepared. There will be people who only have a presentation or a website.

36:50

The first thing to do is to collect sources. At least the logos should be there, but if you have example presentations, web pages, post screens that you have posted on social networks, all this will help. When you create the design system, basically what you do is put all these files together here.

37:14

and it doesn't matter if you can do it in an orderly way, it doesn't matter if they are photos, you don't have to explain what each file is, it will analyze them and understand if this is a logo or an example of social network creativity or what it is, okay? You just put them here and create your design system. I'm not going to do it now because it takes about 20 minutes, but usually it asks you some more questions and during the process, if something is missing or you notice that it has some doubts, it will ask you, it is quite interesting the process.

37:42

Once you have created your design system, you see the Growit logo, where I have loaded all the logos. Wait, Iván, I have not created my design system, I have given you everything I have on the previous screen, my presentations, my images, what I have, and you have created this with Clot.

38:04

if he has created it, that is, all those sections that you see there he has decided to create them based on the resources he had and there is a bit of everything there there are well you see from buttons palette of colors there are also the sources as are the buttons in the aesthetics of growit all that you insist you don't have to have it prepared you give it examples of how you have done

38:29

your presentations, your web pages or your posts on networks and it automatically detects those patterns, understands that this is a button and that the Growit buttons are like this. The more detailed you have, the better, but if not, with a simple example presentation, it will get you all this. This is an important part that on Friday in the cafeteria, we will talk a little more deeply about this,

38:52

we talk about the importance of investing time in complementing your design system with everything you can. In fact, this is mine, this is from my brand, and one thing I did

39:04

is to upload different types of presentation. Let's see, this is sometimes a bit of a burden. Different types of slides that I use in my presentations. Like, hey, this is a slide of figures, a closing slide, a comparison slide. Well, there you have all my slides. This is quite curious how you do it, because once you have the design system created, all you have to do is make a screen of another slide

39:30

paste it in that chat and tell it, "Hey, convert that slide to my design system and add it so I can use it later." Analyze the slide as it is organized and automatically convert it to your design system. The process is done conversational. You create your design system from the start with all your assets and then everything you want to modify you are commenting on it through here.

39:53

And my idea was to show you things that I have created in Cloud Design using those design systems that I have here, that I have both Growit and also the one from my brand Menelabs. So look at things I've done and that can be done.

40:11

We start with something very basic, a LinkedIn carousel. You know that in LinkedIn, to be able to publish a carousel, one of those that you can keep scrolling, you have to generate a PDF document that has some specific requirements. In this case,

40:29

From this chat, or opening a new conversation with the microphone, it's super practical, I told Cloud Design: "Create a 6-slide LinkedIn carousel that has that content in the aesthetic image of Grow It School." And after about 6-7 minutes of waiting, I already have a version

40:47

for a very nice LinkedIn carousel that is... In fact, I did this by giving it the link of a news and it automatically read the whole link of the news and prepared all the content. I mean, I didn't even give it the texts, okay? He took the link of the news and he shaped it in 6 or 7 different slides, which is already my LinkedIn carousel, and notice that it has the design and the aesthetics of Growit. It's very cool, I think, right?

41:14

And you can do that kind of content, but you can also do animated things. For example, this Friday in the cafeteria, we saw how we did it. You can create a chat. How did I do this? I opened a new conversation with the design and I asked him, hey, make me a simulation of a chat.

41:33

similar to WhatsApp but with the aesthetics of Grow It School where Alex and another person, Alex is the person who is here in the chat, are talking about the Grow It School courses and about the Cloth course. Let's take a moment, a pause here, because I think that again, like on Friday, this has its power, if we understand it well.

41:57

In other words, we have a need in this case, and we work again the same way as Alfonso said at the beginning, that he doesn't answer a question, we ask him to do things. And if he has all the context and all the design system, as Iván said, the design system is all the madness that he has taught us, that he has automatically created Cloth, logos, colors, etc., from what we have uploaded, we have not started to write anything, but we have uploaded and created the whole universe. Now, with that universe that Cloth has created,

42:25

We can tell him: "We want you to create a WhatsApp conversation on a mobile phone, a simulation, that is interactive, in a conversation between Alex and whoever, me and you, for example, with the Growit style. This is what you would tell an external designer: "I want you to do this for me, when will it be and how much do you charge me?" I'm not saying that these professionals will not continue to exist, but look at the power we are talking about. Once the universe is created,

42:55

From here we can put that universe in different forms, whether they are presentations, images, things like this one that we don't think about, but you see that it is capable of doing it. Sorry, Ivan, but... My intervention today is to open your mind in these different ways, the amount of things that can be done, because people know how to do presentations, and yes, they know how to do presentations, but they know how to do many things. This, for example, I

43:18

I can think of it as a typical Instagram app or a good Stories app. I could use a screenshot program, save it and take it to Instagram. And now there will be people who will say, "I don't need Instagram Stories." I repeat, you give the whole universe of information to Clot and Alfonso will teach us how to do it in another dimension and Clot starts doing things from there because he has all the information. So ask him and start working to create. It's the difference of having a chat

43:47

In an LLM that says, hey, well, ask him, tell me about this. This does things. Sorry, Iván, I'm interrupting constantly, but it seems to me that the paradigm of what we're talking about changes a lot. Sure. Another thing that I thought we could do is the mock-up for the onboarding of an app. Let's imagine that Growit School wants to make an app.

44:07

to access the courses from there and wants to transmit to the team that will do the app, the app that it wants. So this, what you are going to see, does not really work, but it gives me an idea of how the user will see that final app and in fact it is already with the look and feel of Growit. Look at this, this would be an app, imagine that this is the mobile, right? And I can start there for free, because I can have a phone there, I can, this simulates it, right? How would the whole onboarding process be?

44:35

in that app, okay, I'm not inventing this, okay, so we can see, we can see, I have to put a date, well, we can build how the graphic interface of an app will be, but this is done, you know how it is done, this is quite curious how I did it, because it is done with a screen, look, I found that example here,

45:05

of an onboarding that I liked, I have it over there, wait. It's that, of course, before, while you're looking for it, let's go back to the previous screen, to the app, one second, okay, let's go to the app, here, people say, Ivan, but I don't know, tell him an app, four steps, the button, what do I have to ask, you know a lot about apps,

45:28

Of course, we have to tell him how we want the app. Well, look at how he told him. Iván went to look for an app that he liked, gave him the app, said this can fit me perfectly and he doesn't even explain it to him or give him the direction of where it is. He takes a screenshot of what he sees on the screen and gives it to him. I want something like this, but with the aesthetics of Growit. And as Cloud Design has the whole universe of your company, it can do it.

45:57

and notice that it does not even adapt to the fact that they are courses, that is, that at the level of content not only adapt to the style but if you explain a bit how it is grow and you give it, for example, the reference website and such, it understands that this is not this is for an app like renting bicycles, right? I have noticed the aesthetics but what I don't want is that it tells me that Grogui rents bicycles, of course, it's that this is capable of doing it alone, it's amazing, okay? So you can go creating different designs there

46:27

I wanted to show you some curiosities that I have done with my brand. I have here the design system of my brand. As I mentioned before, I have worked a lot to go working on different types of slides, etc. I have created all kinds of content here. This is, for example, a slide directly created with the microphone. I think you want me to have a slide where this comes out and this automatically

46:52

All that content, that you see that comes out like a Mac screen, all that was taken automatically, all the design was applied, you don't give references to the images, not even the content. I told him, hey, create a slide in my style that explains the paradox change that you are seeing now, to go from chats to people, and he created this automatically.

47:12

No, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no,

47:37

that talks about the change of switching from a simple chat to a super agent. So, it creates the content, which we already know how to do, because we've already been doing LLMs, but it also puts it in a slide, it understands how you would do the screenshots, it would be Mac, all the iconography, all the typography, the bodies, also the hierarchy of the contents, the Hs, the logo...

48:02

If you have another slide, "I want to add another slide now..." You all know, because you all make presentations, how complex it is. "Do we have a comparison slide for pricing?" "No, we don't." But if you have the whole universe, you give it with your voice, and I don't think everyone wins the first one, that's not what I'm saying, but it has the universe. It's like you tell the designer next to you, "Hey, make one that also explains the difference between the chat and the super agent." They have the whole universe and they believe it. Is this a change?

48:31

I do amazing presentations, but the content is not what Ivan is teaching me. I have a whole presentation here, all done by Cloud Design. I can't say it was perfect, I had to touch things. But I can say that it easily took out 80% of the work of the model. You can take this to PowerPoint or Canva.

48:55

That's an important topic. You can download it from here. You can also modify it from here in the course, I've shown you the options there are. But you can also take it as an editable document and continue in PowerPoint if you want. Or if you already have other slides that you have made and you want to use them, you could finish fusing them there. But that has options for importing and exporting. And finally, I want to give you a couple of more examples. Here I have a design system that I have created to, above all, create webs.

49:24

and I was surprised how well it works. If you see my website, you see the aesthetics right away. You see the blue roll, the cones, how it works.

49:36

I'm going to put this one in big because the result is amazing, this has surprised me a lot. This is made from a PROM, without modifying anything. And I created a new landing page to send ads or post from LinkedIn that talks about how now my company offers me custom code, okay? And all this, I mean, it has taken the logos, it has taken the animations, it is exactly the style of my website. It's nailed.

50:05

-

50:23

that talks about how we make code to measure for companies. You have given it that PROM and it has generated you, I mean, it knows the whole universe. I swear the PROM was this, it was nothing more than this.

50:36

...

50:54

Ivan, you have interrupted me a lot, it seems wonderful to me, we are running out of time. Last thing, because I can't go without explaining a bit. And then it occurred to me, hey, let's take this to the limit and let's do...

51:12

a game on my website and if you want to call me you have to unlock the game and we made this version of my website where this is all done in cloud design where we have implemented a space Invaders and we can play the space Invaders directly from here and if they manage to pass it

51:36

If you unlock the points, the link to my agenda will appear to schedule a call. It's a funny thing to do. No, no, no, it's brutal, brutal, because when creatives want to be creative and have people who are operating, doing what they want, even if they are prototyped, they can dedicate themselves to being much more creative.

51:56

It seems amazing. Ivan, thank you very much for teaching us this change of... We are moving from having a universe to the concretion in different pieces from that universe. It seems wonderful to me. You have done it in the part of presentations, etc., that we have always been historically far away.

52:14

The landing one is very good because we all know that there are IaaS and before IaaS there were landing generators, but of course they were nothing like your website and you have taught us how we are already very, very close. Last question, Iván. Do you explain all this, as always, from scratch, step by step, in the Cloud formation? Yes, of course, I have explained a little what I can do, I have explained how. I explain that in the Cloud formation, where we go...

52:36

step by step how to create your design system how to refine it types of content we are going to do how to edit in real how to save tokens with good there we talk about everything save what we also have here Alfonso who is like crazy is the type of Spain that knows the most about this too Ivan thank you very much good luck and see you in the training until now Andrea you put me here to Januel who is going to kill me

53:01

It's going to kill me. You say, man, so much with the hours, that we set the times and you've been here for a while and asking. It seemed interesting to me, Jan. Don't you think it's brutal? I mean, the landing. Both cases seem brutal to me. And what's cool is that we're seeing very different cases, but that in reality...

53:19

Andrea, please open the chat.

53:36

Yes.

54:03

Una duda se me pasa, todo perfecto, súper genial. Jan Noel, ¿tú qué nos vas a enseñar?

54:10

-

54:34

performance, but not only this, but it also depends, evidently, on the price of the square meter, but I also want to know the legislation, because that is an important point. So, the idea is, and it's simple, is, hey, there are 600 cities that we can analyze in Spain,

54:53

We're going to take the average price per night that can be in an Airbnb. We're going to look at the occupancy rate and what is the possible income that is made at the annual level over 562 cities. That's the first step. With that, I have the information of where I can rent quite well. The second thing I need to know is what is the state of regulation in terms of...

55:23

where I am and if they give me licenses or not licenses, because the regulation there is important. Ah, of course, licenses, indeed. You are not going to look at 562 municipalities. Very good, very good, I like it. That's it. And the third part is, hey, but then, how much would a medium floor of 60 square meters cost to see if at the price of buying a medium that I have in Idealista, I will be profitable to rent it every year?

55:49

Wow, very good. First, we will look at the best occupation. We will analyze 562 locations. Well, you, I assume it's your day, right? 562 locations. Best occupation in terms of the fuller calendar, right? More occupation. Yes, the occupation. But of course, Barcelona is probably one of the good ones. I say this because I live in Barcelona, but here there are no licenses. It would be a fail. It would be a red normally. Of course, red. All the licenses as they are.

56:16

And then you're going to talk to me about profitability. How much it costs versus what it's going to generate. And from there it's a very cool formula. I love it. That's it. This is something that surely, if you have to do it, there are three sources of information on 562 lines. There are thousands of data that you have to put in Excel to be able to make a decision. And this, surely, if you need to do it without Cloud or without Laia, it will take you days of work and a team.

56:45

Now, can we do this without touching anything in Excel and have Excel filled and the 10-15 cities that could be more interesting and just this? No, impossible, Januel. Let's see. Come on, all yours. Okay, great. So, have you understood the idea?

57:11

And what we are going to do now, can you see my screen? Perfectly. Can you see the Excel? You can see the case where to invest in the vacation area and an Excel below. Okay, great. This is the result. That is, we are going to analyze 562 cities because it is the selection that has given us through a tool.

57:32

And thanks to Cloud, Cloud will give us all the information and will tell us what is the revenue, the annual income, what is the occupation rate, what is the price per night that can be rented. If there is regulation, what are the ones that...

57:47

We can easily apply for a license if it is easier. What is the average price per square meter to buy? What would be an investment in square meters? And then the maximum cost that we have to pay for this investment to be at a level of profitability.

58:06

So, what we are going to do here, what we need are, in reality, and it is a case, it is an example of a client, but then you can extract it to any idea you have. We are going to use a platform called AirDNA, which are also Spanish, that they are specialized in recovering Airbnb data and organizing it.

58:27

Then we will use Cloud because it is Cloud that will do the work, not us, because we want to improve our productivity and have the information as quickly as possible. And then, obviously, to look at the pressure of the square meter in cities, we are going to ask Cloud to work with Idealista to get the information.

58:48

And that is what we really want to achieve. So, in summary, RDN will allow us to select 500 to 600 cities, which are the ones where we have the occupation rate, the average price and the annual annual potential.

59:04

Claude will look for, in this file that he will generate, he will go to RDNI, he will do the work, he will put each information in an Excel file and then we will ask him to look for the legal information about these cities and then go to Idealista himself and do the work again to generate this Excel that we want.

59:27

That is a tremendous case of productivity because normally, as I said before, we can assume that this work, which are, I repeat, 562 lines with all the information in three different sources minimum, are thousands and thousands of data. It is assumed that, I don't know, two or three days with a team is what we would need to collect all this information.

59:52

So,

1:00:08

What we should normally do is the following: we should analyze 562 cities, copy and paste 1700 data, which is the information that RDN gives us, the three that we have said, look for legal information in 562 cities, look for the price per square meter in idealistic with 562 searches and analyze this average price, which is not so easy either because it would take a long time

1:00:37

in each city to see a middle price and an area, and fill in all the information manually. This is what happens if we are not using cloud to work for us and improve our productivity.

1:00:56

So let's get to the point and let's see how this is solved directly. Clearly, I tell you that normally just by seeing everything that has to be done, you get tired. Because you say, well, well, well, these are days of work or it's a team, there's a high cost and I don't know what I'm going to get. Or you know that you're going to lose two days in a row.

1:01:19

Okay, step number one. Step number one is to go to AirDn, which is simply a web that I'm going to show you right now. Here.

1:01:33

I'm going to share. This is the website that you need. We see it here, you see it on my screen. And it's basically a website where you have to create an account and you will be able to choose the market, which is Spain, and then make a selection. As you can see here, the selection I have made today is 562 cities.

1:01:58

that give us information about exactly all the data we want, which is the occupation rate, the average price per night and the annual potential income. What I have done here is call Cloud directly in Chrome. Why? Because what we want is that we, those 562 information cities where we have to collect three essential data, we don't want to do it by hand. Therefore, the call directly in Chrome

1:02:26

to Claude and I asked him to extract the data from all the markets on the list to the left. Why? Because he's going to simulate as a user. What's going to happen here is that Claude simulates as a user what we would have to do. And then for each market, he collects the following fields. City, potential revenue, that you see here, 20,000. Occupation rate, that is here.

1:02:53

and the daily rate of the night that is sold in the market. So, now, Jean-Noël, you are spying city by city, if people rent or don't rent, how much money do they make, right? Yes, this is a platform that collects the information in Airbnb directly. Understood. And it gives you the information. What happens is that, of course, analyzing this requires a lot of work. Correct.

1:03:17

make a scroll down continuously because of course you have to scroll down as I'm doing right now and he has to understand that he has to do this the list has 562 cities, load progressively, make a scroll down and continuously until the end of the list and the idea is to collect the information so you see that here he has made 72 steps

1:03:40

to create a tool in real time that will recover all this information to avoid us having to do it. I have made you a... Can you see my screen now? Yes, perfectly, Jean. Okay. So, I have made you an example so you can see it in real time how it looks like. If you don't mind. Let's see. Okay.

1:04:14

As you can see, this is how Cloud acts directly. It took about seven minutes. I didn't want us to spend seven minutes right now looking at this information. On the right, when I launched the prompt, it told me to try and you have it exactly on my screen on the right. It has started to work. I don't touch anything here, I don't even have to be here.

1:04:34

mirando lo que está haciendo, porque está trabajando mientras yo puedo hacer otra cosa. De hecho, lo veis porque ha cogido el control de vuestro navegador. Lo que ha hecho aquí Cloud es decir, oye, déjame tu navegador que yo voy a hacer el trabajo. Vale, o sea, ya está navegando por ti. Está clicando en los sitios, está haciendo la navegación. Exacto. Vale, ok. Exacto. Y veis que la ventana se pone como en naranja, como el color de Cloud, porque es él que está trabajando. Y abajo tenéis Top Cloud, si queréis, a un momento dado,

1:05:03

Now he is analyzing all the information, he is organizing it, he is training to say where is the information in each city that I have and that we have in front of us and he is going to go and look and collect this information that we want. That is what he is doing. So what is interesting is that you don't have to have any knowledge

1:05:28

I remember that to do this, five or six years ago, we needed to use software, train them and tell them what we wanted to take as a field and it was all a configuration. And this took us a long time and often didn't work. But you see here that what it's actually doing is taking the information from each city right now in real time and it's extracting the information and it's creating the file for us.

1:05:57

There is little left because I have reduced it so you can see the step, but it is doing the complete work on 572 cities. And at some point it will tell us, hey, I already have the information, ready, and it is within the file.

1:06:16

We can leave it until the end so we can see how this works. I see that each city has the potential revenue, the potential income, the occupation and the daily price that it has on average. Exactly, it's already reached the end, because we see that there are no more results on the platform and it is recovering the information. It is also interesting because when you are going to do it,

1:06:39

You will see that he can decide at any given moment if he has all the information or not, and if he lacks something, he returns and looks for it. And that is the end of how it is working. From there, we have all the information we wanted, which is like a file. And I can tell him, hey, generate this file directly. For example, in...

1:07:11

in an Excel or in Google Sheets. So I can say, hey, here I can tell you, hey, I want to see what you have created for me now. So this would be like the first level of information, which is here, which has collected the complete information and organized it into three columns, as we said, city, revenue, occupancy and rate. The second thing we have to do is to

1:07:43

From there, I'm going to work directly with Cloud. Before, I was in Cloud Chrome because I wanted it to navigate and take control of my browser. And now I'm working directly with Cloud. So I've uploaded this file that it has generated to me with all the information.

1:08:03

And from there, in this file, in this case, there were 597 markets. Exactly. And I'm going to tell you, hey, now I want you to tell me, if you see it here, it depends on combining, I want you to generate four filters. I want you to look at the growing demand, but I also want you to look for the regulation and put it directly in the file.

1:08:28

So, what I'm telling you is, add an additional column and I want you to tell me the cities where it's almost impossible to have licenses or others that are possible. And as you can see, he's going to analyze city by city and he's going to add exactly the regulation himself.

1:08:52

From there, as I was saying, we got to this. He automatically generates this feature and tells me, look, for every city you had, here, an almost unviable building, frozen licenses, for example, you told me Barcelona. Barcelona, red. As you well know. Orange and green. What did I do from there? I told him, well, let's work.

1:09:18

We are going to work on the greens, and from here what we are going to do is we are going to use the greens and I want you to clean the file and leave the following occupation above 58%.

1:09:31

night between 100 and 200 euros and annual income from 17,000 to 18,000. That is, you don't have to be working on the file. You can perfectly tell Cloud to do it. Here it tells me, I'm going to generate 168 cities that pass this filter and I generate them in a file. And I'm working this way, which is the green file of the 163 here.

1:10:00

directly, cities that interest us. Okay, well, from there, what I keep working with him, I say, add the regulation column, I've already done it, and now I say, in the green file, add the following, look for the average price per square meter of the city, average price per 60 square meters, because it is estimated that it is the average of a floor when we had made the selection we wanted, and the potential of income.

1:10:27

annual multiplied by 10. Why? Because I want to know what price I would have to buy.

1:10:32

And here I tell him, he says, okay, I understand perfectly, before starting, two points. Here we are also working with Claude, where we validate what we ask him. And he tells me that it is interesting, my proposal for improvement. He tells me, hey, here we are going to create traffic lights, what is the maximum investment cost to have a 10% or more

1:10:58

de rentabilidad y pondremos un semáforo amarillo si el coste que hemos encontrado de compra hace que nuestra rentabilidad va a estar por debajo del 10 y rojo si no hay ninguna rentabilidad.

1:11:13

Exactly.

1:11:33

Very good. Nice. How handsome, man.

1:11:54

That's it. He tells me, okay, the city of the Basque country, I had also asked him to add me to the autonomous community, which you can do perfectly. What is the income you can generate? What is the occupation rate that this city has according to Airbnb? What is the average price you can rent, depending on the selection of typical floors and all this? The licenses, obviously, this would be, I'm not saying it's 100%

1:12:22

You don't have to do anything. I'm saying that this helps you to check the information and be sure that it's convenient. And that's actually the case. The square meter price that I found in the middle in Idealista, the investment for 60 square meters for the square meter price has generated how much is the investment that you have to have for a 60 square meter floor.

1:12:45

the maximum investment cost you could pay depending on a profitability of 10%. And it's very interesting because here he has done all the work, basically. And he can also play with you on whether it is an interesting investment or not, which is the city where you could focus the most. That is, he is doing the whole market study.

1:13:09

And that's an example where we've used three platforms. In the case of Airbnb, it has done exactly the same thing.

1:13:19

What I have shown you on the platform, that is, he has taken my account as an idealist, he has connected and he has gone to look and worked on the idealist account. He was looking at all the floors, analyzing the average price and making a average to inject it into the file. And every time you ask him to add a column or you are working with him, he generates the file and tells you it is available here.

1:13:43

It's brutal, I mean, brutal, I mean, it seems brutal. Here, you have thought of a business, I think if you have thought well, it's, what is the circuit, right? I'm going to look first at the best occupation, then I'm going to look at regulation, then I'm going to look at profitability, I mean, you have done the gray matter part, you have done it,

1:14:03

But Clot has done a hard job. Let's open the chat for a moment so that they can also tell us how we are doing. I think a lot of people are thinking, well, now that I see this case, Jan, where are you going to invest?

1:14:17

-

1:14:38

Let's go.

1:14:55

Sorry, do you want to finish with something? No, what the audience wants to say is that it doesn't matter what example we are taking. It's just that we support each other on a case so that you understand what you can do. But any case of yours is valid in the same way. It's simply to think about the case and to see what you would like at the business level.

1:15:13

And I'm very surprised by the quality level they're generating. Do you remember, Xavi, when we did scrapping training? We spent hours configuring it. I can imagine. If people were going to hallucinate with this... I'm going to say it. We'll do it live so people can see it. So, let's put here... Andrea, let's put, please...

1:15:37

Alfonso is next to me because he's going to kill me. He's going to say, Xavi, you told me that half an hour was starting and it was going to be a little later. But Alfonso, how about you tell people what they're going to have after what I'm going to explain to them. Let's see if we can see Alfonso around here. There he is. Alfonso, those who stay until the end, who are going to see you. What are we going to see with you? How are you? I think you're freaking out.

1:16:01

What I also found amazing was the progress of both. I remember when we started talking about Claude and others, you hadn't developed it yet. What do you think? Now Noel is doing some of these...

1:16:17

You can't be going around mixing three Excel data and you're doing all the models that have been and will be. I think that tomorrow we'll buy flats and start a company, you'll see. Let's go, Alfonso. I mean, I say the paradigm and I get excited because when I see it and such, I really believe it. I mean, I'm a big fan of ChatGPT, everyone knows it, I started with it. But this is another league. Well, Alfonso, come on. What are we going to see when your turn comes?

1:16:45

Well, let's see, what we're going to see is how to create from 0 to 100 an automatic content creation process, which in this case I've done for LinkedIn, but we can use it for anything. Now, this is not an automation and we don't have to see it as such. I think there is a perception in the world of AI that AI does everything and that's what we want. I don't want AI to do everything. What I want is for it to do things automatically.

1:17:12

que a mí me cuesta hacer. Por ejemplo, ¿qué nos cuesta hacer de publicar contenido en redes sociales? Pues realmente es el simple hecho de tener cada día una idea, el tener que pensar en la imagen, el tener que pensar qué es lo que publico.

1:17:26

That's the hardest part. Then, we have to give our opinion on a topic. Every day we are giving opinions on a lot of things. We are having meetings with clients where we bring a lot of value. And they are things that could be super interesting in terms of publishing content, but we don't use it. So, what I'm going to teach you is a system that will collect all that

1:17:47

And every morning he will come and say: "Here, I propose these topics, which ones do you like more?" We will give him our personal vision of those topics and he will write a content and he will also write a carousel, in this case, but it could be any type of image, and he will publish it for us.

1:18:06

That is, the heavy part of having to think today and having to publish today is over. The agent will do it for us. What do we have to dedicate ourselves to? To what really matters, which is to give our opinion, our vision and our style to the content we make. Hey, Alfonso, I don't know if I understood you well, because you started with a phrase that made me bugged. You said, I don't want her to do everything.

1:18:30

I want her to do what I don't want to do. I was a little bugged. I said, damn, we didn't want her to do everything, but it's true. I was a little bugged. But then, what you have said is, what happens to you in your day to day, and that the IA also knows, can it serve as candidate content to be published? Totally. Damn, this is a change. I mean, what happens to you...

1:18:52

You can say it, the AI says: "Alfonso, what happened yesterday with this client in this meeting, you said this, this, and your opinion was this, we could use it and turn it around, can this happen?" Yes. Wow. So, what you don't want is to be thinking about all the stories, but your life is interesting enough for the AI to be able to... No, and that it comes to me. I wake up every morning and my Slack shows me the content ideas that it has proposed to me,

1:19:17

Open it, work five minutes on the final result, verify that everything is fine and send it directly or to the person that I have, for example, in charge of this. But the creation of content becomes something trivial. Why do you want to create content on LinkedIn, Alfonso?

1:19:35

Sorry? Why do you want to create content in LinkedIn? Well, in my case, for us within the company, creating content in LinkedIn is something quite important in terms of visibility, in terms of also a little bit of...

1:19:51

Vale. Vale.

1:20:12

montón de reuniones eternas de no sé qué publicar, cómo organizarme, dónde sacar tiempo, así que lo que tienes. Y nos enseñarás si podremos tener alguna copia al pegar. ¿Puedo presentar? Vale, vale. Es muy interesante, chicos. A ver... Sí, un segundo. Voy yo, un segundito, explico a la gente cómo seguir con esto. A ver... Y otra cosa, al final de la...

1:20:43

This is Alfonso's job.

1:21:11

Thank you for the gift, Alfonso. Those of you who are in the WhatsApp group, now I share the QR again. You will receive it by WhatsApp. Januel, and we go with my part. Dale, what did you want to say? It's very important because... No, what Alfonso is going to teach, I mean, that...

1:21:26

Once we present what you have to present, Alfonso will teach us everything. Without further ado, can you see the certificate on the screen, Ejanuel? Yes, we can. Great, you asked us about the certificate today. When will you give it to us? At the end, when Alfonso finishes and gives you the gift of copying and pasting, you have the certificate. We have a QR code and here...

1:21:48

We'll put a code at the end. You've also asked us, I've seen a lot in the chat, the WhatsApp group where Alfonso is going to give away all this, where is it? Well, here, we give ourselves five seconds. Come on, you have a mobile in your hand, scan this QR, we get inside. Come on, we stay a little bit tight. And Alfonso wants to go out on the field already. Come on, three, two, one, we continue.

1:22:13

What we have just seen is clearly not how to better use a chat. It is not going to ChatGPT, going to Gemini, going to Copilot, which I adore to all of them, and telling them, answer me this or do this. What we have seen is a new level of work with artificial intelligence. I understand that we are already taking, when we talk about paradigm change, I hope that thanks to the examples we begin to understand what we are talking about. Because Claude's real leap is that we no longer ask him only answers.

1:22:41

We start to delegate real work completed from beginning to end. We ask for tasks. You will see that Alfonso uses it a lot. We are going to ask for tasks. And it will go until the end, until he gets it. And when you can delegate real work or complete tasks, the IA becomes an essential part of your daily work. Because what Jean Noel has done, what I have done, what Iván has done, is not that we cannot do it.

1:23:07

But you have seen the time we have taken, and it's not that we don't know, but you have seen the time we have taken. So, of course, it is an essential part of our day to day, and I'm sure it will also be your day.

1:23:17

It's not the AI that helps me in this case. It's the AI that works for me. It's doing all that. I was teaching a case where it even took the browser and started working on its browser. It took the browser and started scrolling until it got 572 locations. It works for us. That's why the value of Clot is not only in what it's capable of doing, but for you, it's in what it does for you. It's not so much what it does and what I've seen. No, no. What it does for me.

1:23:47

The speed it gives me. It's brutal, you're seeing it. How does it multiply your productivity in your day to day? If you have to do all this by hand, you can imagine it.

1:23:56

And that explains all the hype that has been there. At first I thought, this can't be, it can't be for so long, until I put it on and saw it. But that explains why so many people are hallucinating with Claude. And I believe, personal opinion, disclaimer, that Claude is not the one who stays forever. She is not the one who is going to lead all this for many years, but right now...

1:24:20

If you know how to use Cloud, you can do all this. It is the one that is clearly leading. And then maybe another one will come. But as we always talk, once we know how to drive this tool, which is paradigm change, we can adapt to another.

1:24:32

Because what we are talking about today is not an incremental improvement, that's why people are amazed, but it is a change, as Alfonso said, it is a paradigm shift and Januel, Iván and I agreed at the beginning of this live broadcast. But precisely because the jump is so big, it is no longer, hey, let's do the PROM better. No, no, the jump is different and we are going to see this a lot with Alfonso, which is the issue of context.

1:24:56

The jump is so big that this no longer works like a simple chat in which you write an instruction and wait for an answer. It's not like that anymore. To use Cloud well, it's not enough to see a demo or try it. It's not enough to see this workshop that you're seeing. Because here you already know what you have to do. You already know what you are capable of doing. But you have to understand very well how to handle it. You have to go down to the mud. You have to know well, hey, what kind of work can I delegate to him? How to plan his tasks well? How to define the expected result?

1:25:27

how to prepare the context well, how to guide it, how to supervise it. And all this learning is not trivial, it is not writing a PROM. That is why for us it makes all sense for mentors and experts with experience in cloud

1:25:42

They will accompany you from scratch, as we always say, and step by step, so that you can also delegate most of your tasks as a pro, as we have done today. You will not do it the first day, you will not do it the second day, but the first week, and Alfonso will be able to explain this because he is taking a lot of people who are in the first edition, you already freak out. And that is why we have launched the second edition of our CLOT training.

1:26:06

It's a training that we have launched, as I say, as we all have launched, totally mentored and I'm going to give you a little bit of information. And I already know that you can say, well, it's that Clot, there's a lot of information. Everyone, today, we all have access to a lot of content.

1:26:23

But we think that what is needed is the accompaniment to do everything from scratch and step by step, to land it in your specific case. Because today you are seeing examples, but we cannot do it step by step and from scratch, otherwise we would never finish. But in training we will do it and we will land it in your specific case.

1:26:42

Because one thing, as we always say, is to understand that this exists, that I have seen it in your workshop, Xavi, and in others, I have seen it. But another very different thing is to really take it to your work system and stop thinking, if I knew how to do this, if I knew how to do the other. I'm not saying it's simple, I'm not saying it. That's why I say it's a paradigm shift, we have to accompany ourselves, and in our case, our vision is to accompany ourselves with expert people who have already gone through this, because it's not simple, but when it works...

1:27:09

Well, you are seeing it. What we have is something very, very beastly and a brutal competitive advantage.

1:27:15

That's why our trainings are all mentored. Because we don't want you to stay in theory or inspiration, like this webinar or this masterclass, or try a couple of things and give up. What we really want in our trainings is that it can solve all your doubts. It's something we don't have time to do today, but in our trainings it can be done. Stay on your side when you get stuck, because you're going to get stuck. Because the normal thing is that you get stuck. And disclaimer, not once. There are going to be several times.

1:27:44

We'll be on your side when you ask us. Help you apply it to your specific case. Hey, Alfonso or Iván, I do your case like this, but in my case I have this. How could I apply it? You will have direct access to the mentors so that they can also talk to you. We can do it live. Who are these mentors going to be? Well, you can imagine that who is going to accompany us from scratch and step by step so that you can also get it, they will be Alfonso and Iván.

1:28:12

Alfonso, I think you know him, he's a great... You're hitting me hard, eh? Sainte-Baranda, please. Sainte-Baranda. Ah, well, I'll correct that later. Alfonso Sainte-Baranda.

1:28:28

He will introduce himself, I imagine, in a little while, but he is the co-founder and head of growth at Growth4U and mentor for a long time in our school. Some of the cool things he has done, he specializes in building systems of growth and artificial intelligence oriented above all to what he likes, to growth, to acquisition, to conversion, to commercial efficiency and to the part of scalability of businesses.

1:28:49

What else do we have? Well, hey, pioneer in the use of clock. I think he was one of the first to see that he was managing all this. But also they do real business processes to multiply the operating capacity of small teams. He will explain to us cases, hey, when we are small too, well, small and I think he will also have medium cases because they have an agency. Well, he has an agency that does all this artificial intelligence for other clients. That is, he is someone who is active every day doing this that he is going to teach you.

1:29:14

And we also met him like this, he was the ex-growth leader of Binex. Binex, those of you who will remember, is a neobank and he was at the moment when he had to make it grow from zero users to half a million users. There is nothing, that is, he knows a bit about growth, capture and now artificial intelligence. On the other hand, we have Iván Monéis.

1:29:33

Ivan Monéis is an advisor for many very top companies, some in the IBEX of artificial intelligence, he is the founder of the recently incorporated MNLabs, he is a mentor at Grow With School with us for a long time and you know he is one of the resident baristas in our cafeteria every Friday.

1:29:50

and they do the same thing. He's a mentor and trainer in applied artificial intelligence. He loves automation and, above all, business productivity. He uses cloud and generative intelligence, also helping other companies, other businesses, to multiply the capacity of productivity of all kinds of equipment. And a lot of people know him for being the co-founder of a clothing brand called Brava Fabrics, and he's been doing business for more than 10 years. We like people who do things.

1:30:18

We don't want you to be inspired. We want you to be 100% operational and that in just four weeks, you are already delegating most of your tasks of the day to Clot. When do we start? Very, very soon. On June 3rd. Ask yourself, when is this? I would say on Wednesday. Very soon. Remember, we start on June 3rd. We are going to have Alfonso Sainz de Blanda and Iván Monéis as our mentors.

1:30:47

You will have live sessions with them as well, as I was saying, all the doubts. In fact, we have increased the number of live sessions during this month that you are going to accelerate because we realized with Alfonso that it is a course that has a curve at the beginning that we need a little more help and we know that, as we said, we are going to be on your side. You also have a large part of the training is recorded, so you can move forward at your own pace, except in the live sessions where we go with doubts and mentor approaches.

1:31:12

We have the whole part of the solution of doubts by several ways and, above all, the famous private WhatsApp group in which we answer all the people at that moment who are stuck, who have questions or doubts. Why WhatsApp group? For immediacy.

1:31:24

And we are going to apply it to your real case. The idea is that you learn it, but you take it to your day to day. How much does this cost, Xavi, that starts on June 3rd? For those of you who don't know, you know the price. The price is 597 euros to do this four-week training, mentored and accompanied at your own pace and with directs with the two mentors.

1:31:44

If instead of being a person, as more and more companies come with large teams, for companies teams, from five places, we have this Cloud training called Teams. You contact us, you have here, well, if you go to our website, you have a call agenda with us.

1:32:00

You schedule a call, you tell us what day and what time we can talk and you have special conditions from 5 places. You also have a QR on the screen to schedule a call with us. If you have a question, a doubt for you, you can also schedule a call. In other words, we have said that the price is 597 euros or if you are more than 5 places,

1:32:20

No.

1:32:41

Not only do you enter Clot in this course in which we started on June 3rd, you would enter in all. In all, what does it mean? Well, in the Clot on June 3rd, also in all those that we have already done, because they are on the platform available for you to enter, and in all the futures. And how much does this cost? Well, if the formation of Clot cost 597, well, you're going to be amazed. The membership only costs 100 euros more.

1:33:02

For 697 euros a year, you enter the membership and you have CLOT plus all the past and all those that come to the future. It is an annual membership and it is a recurring annual payment. When you want to stop belonging to the membership, you simply tell us and that's it. From one year to the next, it is renewed or you tell us that you do not want to continue. You decide. Also the same for companies. Each time there are more companies that see the membership as a program, more than a course, as a program.

1:33:30

of training for the teams. It's a continuous program. So, if you also have companies of more than five people and you want to focus them in the membership, we also have Teams membership. I'm almost done. We are asked a lot about the issue of Fundae. Hey, Xavi, Xanoel, your school, your programs, are they profitable for Fundae? Oh, man, I've been here for a second, I've been here for a second, and now I'd say I'm not sharing a moment. Now, a second. Let's see now.

1:34:03

Vale, bueno, pues no quiere entrar un segundo. Ahora sí va a entrar. Aquí, bonificación para empresas, sí, está bonificado. Vale, ¿qué pasa si todo lo que nos estás explicando es puro humo y no es verdad? Bueno, primero, te puedes ir a Google y ahí verás nuestra evaluación, nuestras reviews, nuestra puntuación. Han pasado más de 8.000 personas por la formación. Hay centenares de reviews en Google. Lo puedes ver. Y nos estamos muy orgullosos de decir que tenemos la mejor valoración posible

1:34:31

In Google, School of Artificial Intelligence in Spanish, 4.9 out of 5. You can see it like that, but even so, if it wasn't for you, for whatever it was, we have a plan... Oh, it's costing us today.

1:34:42

Let's see here. 15 days for free. You can try it. You enter, 15 days. Imagine, the course is a month. You enter these 15 days without any risk. If we don't meet 100% of your expectations and what we had said, we'll give you all the money without any question. And the people who enter, who say, I haven't shared, I'm going to put a very quick video, but I haven't shared the sound, so I'm going to have to do it now. Let's see. Share sound. I have it. Share sound.

1:35:12

Here it goes. Can you confirm that you can hear me? Yes. And well, I want to give you a big hand because you passed the barrier of trust. I mean, that's what made me bet on the formation. David, sorry, the video is not visible. Okay, the video is not visible. One second, one second, because it's a pity. A video that we have made. I'm going to give it a moment of play. The video is not visible. What is visible? Now the video is visible. Now the video is visible? Yes. Is the video visible now? Yes. No. No. No.

1:35:47

And I want to congratulate you because you crossed the line. We'll put it at the end. We'll continue on because for some reason it can't be seen. We'll continue. As I said, we started on June 3rd. Can you see it on screen on June 3rd now, comrades? Yes. No. No?

1:36:05

I see we have done our part. Ah, I'm sharing. Okay, okay, okay. I'm sharing. Well, today I don't know if it's giving me the best. I'm going to stop share. One second. I'm sharing one that I didn't touch. Now I'm sure you're going to tell me yes. Okay, do you see a person now on the screen? Yes. We try. Do you see video? Yes.

1:36:31

And I want to congratulate you because you passed the barrier of trust. That is, it was what made me bet on training. And it's the cane because you put an hour and you get 10 hours of productivity. I had an intuition that I could get a lot of profit and the truth is that it is confirmed 100%.

1:36:56

It's the same thing you say in all the videos. The potential is there and it has been proven. I had to get the results that I wasn't able to get before. And that means saving time and improving the results. For me, the first module, with the first module, it's worth it to have attended the course. What hooked me about the program was how you told us the experience we would have.

1:37:23

So it gave me a lot of confidence and closeness and I have seen that not only in you but in the rest of the mentors. So I want to thank you because when you see that you are working with people who, apart from this being a business, do it with desire and with illusion, this is what really hooks you up. So, no matter how good the program would have been, if you do it simply by billing, things would change. And I have felt it. You worry because we use it, because we use it, because we grow and with that

1:37:50

Well, thank you for the quality of what we have seen and also for the human quality of the team behind it, that is felt and appreciated. Thank you very much, because everything that they have promised us is there and this is exponential, we are going to grow a lot.

1:38:14

thanks to the creativity or the help that having a white polio gives us. I also share it because I want to thank you and congratulations, the truth is that when you do many courses with a lot of experience throughout your life, then meeting a program like yours is to be grateful a lot.

1:38:36

Well, there it is, these people who have passed, well, in fact, they are finishing the first edition, so that you can get an idea of how warm they are, what they are saying. We do our job, I haven't seen this video, they haven't passed it to me today, it's the first time I see it, but it's true that it excites me because we do it with a lot of love, we don't just want to make money, we are a school and a company, but we want people to really learn, I imagine it shows. We started on June 3rd, Claude, we have done our part, and as we always say, well, now it's your turn,

1:39:03

Because the future is for those who decide to take action. And the question is very clear. In four weeks, where do you want to be? Notice that summer is coming. When we are in September, in four weeks, in September, where do you want to be? Where you do everything, like that 99%, like this sheriff of Texas, or in that 1% that already uses Clot and takes advantage of all the power of artificial intelligence to go to all the pills.

1:39:28

Alfonso, you're getting ready, get ready because you're going to play. On the screen you have, right now, I'm going to leave it, nothing, 30 seconds so that you can, those of you who want to schedule a call with us, do it now because all the hours that I imagine you know that it's going to be better for all of you are the ones that first fill up. You have a QR on the screen, there you can simply point with the mobile, tell us what day and what time is fine for you, that we call you and we will call you.

1:39:56

In the web you also have a little button that says we call you. We are going to give us 15 seconds. Come on, there it is. If you don't have time, make a screen if you want or remember our web and there you can schedule it. We give you the last seconds. I see that quite a few people are entering that you are interested. Thank you very much. Hey, don't be doubtful. If for whatever reason you have any question or whatever or your case, don't be doubtful. Don't be doubtful.

1:40:31

We start very soon, on June 3rd. When summer comes, we have all the duties done. And as many people say, we let summer continue to work for us. Come on, now I leave it, I leave it, I take it off here and I go with Alfonso. Alfonso, are you there? Yes, we are here. Come on, I know we are going very tight on time, in fact, very past time. So I don't say anything. I leave it here and everything is yours, Alfonso. Okay.

1:40:57

Well, thank you Xavi. We are going quite fast because at any moment my daughters will start to enter here and we won't be able to do much. But for now we are at the top. Let me present the screen, are you watching? Yes. First of all, I have created this, which Cloud has obviously done, which is a bit like how I want to explain the case today.

1:41:22

This is an HTML, by the way, that I built from scratch. We'll compare it later. But basically, today I want to show you how to go from zero to post in two minutes of your time. Because the rest is going to be done in an autonomous process.

1:41:38

that will go through all the parts that are heavy of that process. And it will come to us to ask us what matters, which is our opinion, our vision, how we believe that these things are, it will ask us: "Hey, do you approve this or not?" I think that is where humans are really where we make the difference. So, in the end I have built this because I have been, as we said before, I have been posting on LinkedIn for 12 years and I have tried all kinds of tools.

1:42:02

And my main problem was consistency. It was, hey, how can I be publishing every day? Because some days you feel planted and other days not so much. So what I needed was, hey, a system that knew my voice, that reads the market for me, that lets me decide in two minutes and that publishes alone. That's what I needed. So basically what we're going to build

1:42:22

It's a system that will first do a daily news search. This is an automatic flow that will happen every morning at 7.08, specifically. If you want to know why 08, it's because at 7.01 I have another, at 7.02 I have another. So that's why it's 7.08. Then we're going to open a chat, now I'm going to show you, you're going to say, hey, what do we have today?

1:42:45

It will tell you the 25 news, you can read them, it's like reading the newspaper, right? Well, now I read it, but besides reading the newspaper, I'm going to tell it, hey, I like the 3, the 11 and the 21. Here, the system will start doing a deep investigation of those topics, I mean, it's not going to stay only in the news, but it's going to take you to do a very deep research, and then, in addition, it's going to ask me more concrete things about my opinion on this topic. It's going to create this draft in a backlog, I'm going to try it, it's going to program and it's going to publish it.

1:43:15

And this is accompanied by a thing that also looks at the metrics of those posts, it has an autonomous improvement system that says: "Hey, these posts work better every time, these hours work better." It does the A/B testing of many things and it will help me to improve every day in the publication on LinkedIn. - Okay? - Yes. What do you think? Well, I'll tell you, because people... Well, say it in the chat, please, Andrea, we'll open it. I'll tell you something, Alfonso.

1:43:44

I was going to say science fiction, but I don't think so, because I imagine that this can be programmed if you have a technical department at home, with technical people who program you, crones, going around, passing, well, your voice is more complicated, not that you write for me, that's much more complicated. It seems to me, amazing and ultra-necessary, and I open my eyes because I raise the business from LinkedIn, but it's a pain in the ass to have to be thinking every day about what to write.

1:44:11

The thing here is what we've talked about during the whole session. Here, the important thing is your imagination and your knowledge. This process that I've set up is a process like any other. But the important thing is to have the process. Everything else, we already depend on the artificial intelligence, but for example, I could have done it totally automatically, but I already know that the results of that are going to be me. I could have done that instead of news, take, for example, content from other creators and give it to me. I have it too, right?

1:44:39

I mean, here I can add any antenna or any system of generation of ideas that I want and then put it in the canut of content creation. So here the limit, Xavi, really, and I think it's something that we exist a lot in the course, is the limit is in your imagination. The course is mainly to help you see a window and be able to accelerate learning as much as possible.

1:45:02

And I would also add a couple of things. We have talked a lot about how the PROM is no longer useful. It's not that the PROM is no longer useful. The difference between the IA from six months ago and the one from now is that, first of all, the context windows are much wider. That is, now you can put a lot of information at the beginning and the IA will not stay there and tell you and you will start to hallucinate.

1:45:24

And two, that now agents, the way a Cloud Cowork or a Cloud Code works, is that what they do is load, instead of using a prompt, they load an initial context. That is, they load information that you have given to the AI previously, instructions, folders, documents that you have given it, and therefore, every time you talk to your agent,

1:45:47

The first thing he does is go to that folder, see all that information and on base that he answers you. So, it's not that the prompt doesn't matter anymore, it's that you've pre-loaded the prompt. You've done it before. So, he knows everything as you like, who you are, what you do, your objectives. So, I don't need to do a super complex prompt of you're a content strategy. Because he already knows. He already knows because automatically he's already taking that answer.

1:46:15

And the other great advantage of current models is that they don't stop until they achieve their goal. Before they stopped continuously, you had to keep going, they read a page and stopped, now they don't. Now you can say slash goal anything and it will be working for days, until the context fits and then it comes back and back and back and back.

1:46:37

So, this for me, and above all, what does it mean? And I think it goes very in line with what we were saying before. Here are three systems that are key in Cloud Coworking and Cloud.

1:46:54

-

1:47:15

with different topics. I don't have the capacity, many times, to be able to, and I'm sure it happens to many of you, to be in everything at the same time, just as well. So what Cloud allows me is to be able to be in many different things without having to be changing the context of my head. And, honestly, like delegating a whole process and something important for me in a process of agentico that works.

1:47:42

I don't have to hire someone to make content per se. I can have my agents who will be coming to me for what I contribute, a 10x,

1:47:52

in that content pipeline. But this also serves to do outbound, to do, for example, invoices. I have an agent who, for example, every month, he checks and looks at all the clients that are missing, who have not paid the invoice, who have not paid it, and he simply sends me instructions like, hey, this is what I'm going to do. Do you think it's good? I tell him yes. I don't have to be there at the end of the month thinking, wait a minute, let's see, what invoice has not been paid or what invoice do I have to pay that I have not paid yet? All that is over.

1:48:18

I already have a system that reminds me of him. For me, that mental liberation is huge. But well, let's go to LinkedIn, which we don't have much time for. As I was saying, there are three product-level factors that make Cloud very different from others. The first are the Schedule Tasks, where basically you can ask Cowork to do something every day or every week or on Thursdays at 8 pm or at 7:08 pm.

1:48:43

And he's going to create a system that will be repeated continuously. I'll show you how this works. Here you see "schedule tasks". I can show you all the ones I have, many days paused. So here I have one, which is "daily LinkedIn news batch", which happens every day at 7:08, and which has a series of instructions. I haven't written these instructions by hand, he has written them with my guide.

1:49:11

But to make it clear, in Cobor it's super well organized because all the things that are scheduled tasks are well organized here. Then the other are the persistent artifacts. Until now, we were always working in chats or in text, or as much in PDFs, etc. One of the things that Cloud brings us is what they call the artifacts, which you also have here alive.

1:49:37

In this case, I have this artifact, which is the content pipeline, which I will show you in more detail, where it has two tabs. It has a news pool. Here are all the news that I have been finding, which I can see for the five topics that I am interested in. So I read this every morning.

1:49:53

And then I have the calendar so you can see how it can visualize the content that it has made me. As you can see, here it already has all the content with the guides on how to do it well in LinkedIn, etc. And also it has incorporated a carousel that has my logo, that has all my image. But it's real, right, Alfonso? What I'm seeing is done by AI, what I'm seeing on the screen. Exactly. All this that you are seeing is something that you will be able to take home at the end of this session.

1:50:23

So, this content was made for you, for her. She's going to copy and paste and build this cloud. Okay, okay. Cool, cool. Okay? Okay. So, all this...

1:50:33

It's for me an interface that I use for... That's why I said before, there's only going to be a chatbot or just a chat window. Well, I don't think so. I think it's going to be something more like this, where each one of us is going to have our mini applications that are going to adapt totally to our systems, but we're going to build them either with the help of agencies or third parties, or we'll buy packages, but this for me is the future. One thing, Alfonso, is that you said the word artefacts, but you haven't explained what an artefact is. The artefacts are...

1:51:02

Vale? Que os estaba enseñando. Vale? Son como aplicaciones, ¿no? Como pequeñas... Mientras Alfonso saluda, los artefactos son como pequeñas aplicaciones que tú te puedes crear. Saluda a mil personas, María. Pobrecita. Los artefactos son aplicaciones interactivas, como habéis visto, que en este caso Alfonso se ha creado la suya de LinkedIn y que os las crearéis a medida para vosotros. Es verdad que cada uno tendréis vuestra propia interfaz. Por ejemplo, tienes el dashboard de mi semana. O sea,

1:51:31

These dashboards are updated automatically. They are connected to a series of files that are in your computer and they are called live artifacts because they can be recharged and they are continuously connected without you having to change the HTML. So, you have created one of these artifacts that you read every morning, right? Yes.

1:51:58

Okay, we're...

1:52:09

And here, he is also giving me, this is what I was telling you, that he is learning from me continuously. Ah, how good. It's an angle proposed already. Google has put Gemini OmniFlash in the Gemini app, in Google Flow and in YouTube Shorts at the same time. Okay, okay, okay. So here he is already telling you, hey Alfonso, if you like this, from what we know, you and I, one of the other, we would go this way, right? Exactly. Damn, how good. Make it a little bigger, if you can, Alfonso.

1:52:36

No, I won't be able to. Okay, I don't know. It's okay, nothing will happen. Okay, okay, nothing will happen. Okay, cool, cool. Okay, but here, this again, you will be able to have it in 10 minutes once you do the prompt that I will pass you later. Okay? So, here I have all the news and how this is going to work. So, well, here, let me first...

1:52:57

The third artifact, or the third thing that Cloud has, that others don't have, well, now they all have it, because Cloud invented it, but now they've all taken it because they put it in free software, is what they call modular skills. Modular skills are a markdown with rules and a trigger. I take it and say, "Hey, I'm very good at doing market research on food items."

1:53:24

I'm one of the students who is here, I don't know if he is here or not. I'm very good at this and I always look at these sources, I do this, I put it all in an Excel, I do this analysis and such. All that knowledge that you have of a process that you do, you can convert it into what is called a skill.

1:53:42

So Cloud will take and execute those skills following your instructions. Again, why is the prompt not so important? Because we have the skills and we have the context. The good thing is that I can have skills of all kinds. I can have LinkedIn, I can have to look at my email, I can have how to talk to my daughter when she gets such, I can have one of the classes of the school, I can have anything that I have a process that starts and ends, I can have a skill. And Cloud will know

1:54:11

I can either call them directly, which would be, I can take here, okay? And call any skill with the bar, okay? With Panic Contest, Copy ID, whatever. Or simply Claude, saying what I want, will be able to take and many times will call the same to the skill. Okay. So, as I was saying, we are going to go now, instead of showing you this, okay? We are going to go directly to the process.

1:54:38

I have already run this, as we are in a hurry we are going to do it, but I want to show you what this needs. This basically needs three Schedule Tasks. I was telling you that the first one is the Daily LinkedIn News Batch. This one simply does, every day, a set of news. And this is what happens every day. You see here the executions, right? We can see how it has gone every day.

1:55:07

What it does for me is, as I'm not the most disciplined person in the world, it also has the option to prepare all the drafts for me every Monday, even if I haven't said anything. Normally, now, let's see how I usually use it. And it publishes them every day. That is, every day it will look at anything that has been approved by this process and it will publish it automatically.

1:55:37

So, the only thing I have to do is come here and tell it what we have today. We are going to select, it is important, we always have to select the part of the folder. In this case I'm going to take it here, "Cowork". Because in Cloud Cowork everything works by the folder you work on. We tell it what we have today, we launch it.

1:56:11

And here, of course, I already have this Cloud Cowork with all my information, with a feature that we call About Me, that we teach in the course, how it is done, that knows everything about me. And look, it's already calling a skill. I would have said the skill, eh? Launching skill, LinkedIn Pipeline Creator. Do you see it here? It's already launching the skill, but I haven't said anything. I also say that I normally call it skill, but it's cool when you see that you don't even have to say it.

1:56:41

But a question while Alfonso does it. What do we have today? Have you asked him in plan? Do we have a meeting? Do we have Siemens to answer? No, no, in this case, this trigger is for content. Okay, okay. So I'm going to show you here and again, since we don't have much time, I'm going to show you here.

1:57:00

But basically, if we ask him what we have today, he tells me, hey, the batch of May 26th. This has already run. This has already run at 7 in the morning. At any time I ask him, he puts it here too. I, for example, what I usually do is come here. Because it's more visual, I like it more, I have the link to the source here. I honestly admire AI marketing lately. I'm publishing it.

1:57:27

And here I choose the 5, the 4, whatever I like the most. It's not about choosing all of them, especially if we do it daily, but we choose one. So, in this case, let's go back here, so you can see it. Here I say, "Hey, the 1 and the 2 are the ones I like the most." So, it says, "Hey, I'm going to process the two items one by one. I'll start with the first one, Gemini Omni Flash."

1:57:54

So, first, it tells me: "Hey, this is the article, this is the summary, read it, this would be your angle." Why does it read it to me? Why is it putting it like that? Because now, the next thing it's going to do is do the research, which what it does here is look at exactly everything that is on this information, which is much deeper, which is just one article.

1:58:17

Correct. Correct.

1:58:45

Well, this happens between these two steps, okay? Which is that it asks me questions, okay? Let's see if it's going to ask me questions here. Let's do the one, okay? Because I want you to see it. Because one of the very powerful things that Cloud has is the so-called Ask User Questions, okay? This is a functionality in which Cloud itself takes and suddenly starts asking you questions. In addition, it asks you questions in an interface that is quite cool, because it is quite easy to use.

1:59:15

Let's see if it shows up here. But it will ask me some questions that will validate that this angle is the right one. Or I can tell it, it's a multiple choice, it's a multiple choice, but I can take it and write a text at any time. I can take it and say, no, do this, or I can go to this other side.

1:59:37

It's not something that is asking you, Isote, three options and you can't do more. You can give it all the context you want. In addition, I can tell it my whole life. Or I could even change the angle and nothing would happen. It takes what I have told it and uses it to change the angle. Here you see that it is making a deep investment. It is supposed that to make the definitive content, it will ask you some questions to make it more yours too. Exactly.

2:00:03

And also, it keeps those questions in a database so that it helps me create more angles. This is very important. It is re-fed and it stays there. What it has learned, it has learned. Indeed. That here, in real summary, and then in the proposed angle, is where it gets it. Okay? It continues. Okay? And now, it gives me the questions.

2:00:36

Look here, it's taking my positions. This gives me, because I don't have the head to think. Of course. Nobody is talking about this. I need it to give me the context, to give me ideas that activate my head so I can say something that is really interesting. So now the four questions to build the draft. Using Ask User Question. The angle is very good, it's very good.

2:01:03

For me it's the key, if not the content is pure. Of course, of course. Giving it your angle, asking your opinion about the topic, makes talking about news cool.

2:01:15

There are many ways to do this. I've seen hundreds of flows, guys. I mean, really, hundreds. Each one has its own and each master has its own book. And the most important thing here is that you do your own. Look how they're doing it. How they're doing the question. Q1, what is your main thesis? Let's see if this gets big. Yes, this does get big, look. What is your main thesis about this launch? The answer marks the whole post. Funnels without jumps win, Avatar mode didn't come out, and here I can tell you

2:01:43

My point here is more with the finance. I think that until now we were seeing how ChatGPT what it did was work from its chatbot

2:01:54

You can buy from ChatGPT, you can choose a insurance, you can do a lot of things from the chat itself. What we are seeing is that Google, which has the opposite problem than ChatGPT, that is, what they have is where people already visit, they have YouTube, they have a Google search engine, what they want is to embed it there, where they already know that people are spending time. So we are seeing the confluence of two movements.

2:02:20

from the chatbot to everything else and another from everything else to the chatbot or to the AI. The people will have freaked out, Alfonso. They will have freaked out. They will say, what is this guy saying? Alfonso just activated the microphone and he has responded to this question, the Q1, in audio mode. He says, none of the questions you have proposed are valid. Look at the amount of information he has given and how it is now. Look, look, there you have it. What he has said.

2:02:48

Of course, now he's going to twist it and it's going to be very Alfonso. And on top of that, he keeps it and knows that Alfonso thinks this. Next time he offers me something better. It's true that what you're seeing is something very, very for now, because I have everything set up in code. But it works exactly the same as my current process. And what we have with many clients, too.

2:03:13

So now we're going to go to the other one, right? Let's go directly to here. Here, the artifact. So here now, you can see what we've created here. Google has put... No, this isn't that big. Google has put Gemini OmniFlash in three supersets at the same time. Wait, wait. So of the ones we had, you've chosen one in the artifact? In the other artifact, sorry?

2:03:44

In the conversation I have chosen one. Ah, okay. You have chosen one and it is already set as draft. Is it approved? I see the tag approved in the calendar. Here I have to do a little debugging too. The best thing about Cloud is that you don't need to know much. Simply tell it, fix it when something fails and fix it. Okay. Well, let's go to the agenda, Alfonso. I see that you had in the agenda that you have shown in Artefact.

2:04:10

¿Sí? Ahora, el artefacto... Aquí abajo pone aprobado y publicarlo mañana esto. Sí. Entonces, este es mi calendario editorial de esta herramienta. Yo aquí tengo, por ejemplo, draft sin confirmar. Tengo estos otros que no los he confirmado todavía ni les he puesto fecha. Vale. Vale. Con su texto, su carrusel, todo. Vale. Aquí tengo otro. Y luego tengo este que sí que he aprobado y le he dicho que me lo ponga para mañana. Y esto mañana se va a publicar

2:04:41

on the LinkedIn page of Growth4U so that it will be released with its carousel and everything. - That's great. - That's great. Tomorrow you'll have more proposals for the next one and so on. - I see this, look, you see here, for example, now, if I update the artifact, this is the new process we've started, here is where I would take and update the artifact with the new post and this we've done. We're not going to do it in this case because we've done it before with this, it's the same.

2:05:10

But here the key is, here I, for example, tell him, hey, refresh the artifact and open any draft, the carousel should now have the logo on each slide. I tell him that I approve it, then he updates the artifact and tells me, hey, now this post that has been approved is already approved. Tomorrow at 8 o'clock, the Schedule Task Publish Due Drafts will collect it and upload it to Metricool.

2:05:33

When Metricool confirms the "outload", the flag "published" goes through automatically and the "pill title" changes to "published". That is, tomorrow at 8:00, the process I showed you about "publish due drafts",

2:05:45

I'll make it a little smaller so you can see it. This automatic process takes everything I've approved and puts it on the date I've told it. Awesome. So, what do I have to worry about? Well, to dedicate some time to reading news that interest me, to learn a little about what's going on in the market and to give my opinion, which I always try to be a bit contrary because that's what works on LinkedIn.

2:06:09

But I do that. I don't need to think about the post, or the image, or anything. I just publish it. This is very strong, because it's like, let's call Alfonso tomorrow. Alfonso, what do you think of this? And we give you your angle. Brutal. Alfonso, this is what you explain, here we have gone very fast, this is a process, among the many things you explain in the training, what would you say to the people who say, hey, this is not a chat.

2:06:37

It's harder to learn. As I was saying, we've just created an agent that takes a part, something that occupied space in my head and that now no longer occupies space. Now I just have to...

2:06:49

It's like if I had hired someone to take me to LinkedIn. To take me to my clients. Instead of what I've done, I've worked on a process that I like, a process that I improve every day, a process in which I have focused and suddenly now I have something totally scalable that I can do not only with me, but with anyone I work with, anyone on my team, any client, etc. And this is monetizable, that is, you can do this for many clients, put this in motion.

2:07:17

So, we have a little time left, I'm sorry, but my daughters are here and they need me. So, how do we install this? And we're going to send this to you through the WhatsApp group. The only thing you have to do to install all this is to put these instructions in your Cloud Code Work or in your Cloud Code. Set up the LinkedIn pipeline from this link.

2:07:46

Read the bootstrap prompt.md and guide me through the entire installation asking me what you need via Ask User Question. I want the system working today.

2:07:57

The only thing you're going to do is put this. And what is Claude going to do at that moment? Because again, remember, we asked Claude and he gives us. He does things, it's not a chatbot, he doesn't answer, he does. He's going to clone this GitHub repository, which is a tool where everyone saves, all developers save things. He's going to read this bootstrap prompt, which are really the instructions he's going to do. He's going to detect your About Me folder, if you have it, which is one of the things we teach in the course to do.

2:08:26

It will ask you 6 or 8 questions with what's left. It will customize the skills that you have in your drink with your About Me. If you, for example, already in your About Me you have put what is your style of speaking, you have put your logo, you have put your things, it will update them so that the carousels and everything already appear with your logos. It will create the two Schedule Tasks that are important, at 7, 08 and 18, in this case, because they are mine. It will generate the artifact that I have taught you, and it will pre-approve all the tools that you need.

2:08:57

In 30 minutes you will need it. And the only thing you need is co-work. All this, besides Python, Playwright, Metricool... Well, Metricool API you will need if you want to publish it automatically. But you don't need to publish it automatically. You can do that manual part. You can download it and upload it. That's how each one does it. Also, my process, for example, connects with my Slack.

2:09:21

and send me the information on my Slack. I don't even have to visit Cowork. I'm on my Slack, which is where I live very often. My Slack is a tool like Teams, but it's very good. And I receive it there, a notification, I take it, I put it in Slack, I approve it, and then I go to Cowork to finish. Okay? So...

2:09:46

This is the paradigm shift for me, because what I'm telling you for LinkedIn, think about any process you have. Think about reports you make to management, think about reports for clients, think about anything you do routinely and for which you would think you have to hire someone. We can create a process with all your knowledge that does this.

2:10:05

Now, what is it that it isn't? First, it's not an autodebugs process that can work directly for everyone. It will require you to do a lot of work, a series of questions, and then you will probably have to adapt them. And you will also need to have done the About Me that we teach in the course, but even if you have done it, with more questions it could work.

2:10:25

Luego, no va a escribir en tu voz si no le das ese contexto, ¿vale? O sea, para mí lo importante es que escriba como yo hablo. Entonces, si queréis eso, necesitáis que el contexto esté hecho.

2:10:37

It won't replace the decision either, and this is by default. If you want to automate everything, you can do it. I still think that one of the reasons why there is so much garbage or AI-slop, as it is called, is because a lot of people are automating things that shouldn't be automated. The publication of the content, for me, has to be something that depends on us. This won't publish without your OK, as I was saying.

2:11:03

And for now it doesn't work for Twitter, Instagram or TikTok. At least this repo. I have another one that works for Twitter and I even have one that we are now doing tests with video and others for Instagram and TikTok that works really cool. But it's not there yet in Instagram and TikTok so automated. But it's getting better and better. I also tell you. I now have one thing to do videos of YouTube and others that works incredibly well.

2:11:25

and even makes the editing of YouTube videos that you record there, like, run over and it takes it and cuts it correctly and prepares it for you. Again, you can take it home right now and I think that for me the important thing is not LinkedIn, the important thing is not the specific process, the important thing is what this has awakened you from what process I can automate tomorrow and that you ask them to do it. Simply ask Cloth.

2:11:56

The world is your oyster, right? Yeah.

2:12:17

Alfonso, thank you so much. This man knows Latin, as you can see, and if we leave him here for a while, he will continue. Thank you so much. What Alfonso has said is not this. What we are going to pass through WhatsApp is not to clone him. His opinion is his. It is to clone his process.

2:12:36

But you are the center of that process now. It's for you to publish your LinkedIn, but you have to give the opinion. That's why it has to know you. That's why it's not the first one or it won't be as specific as Alfonso's. It will be more generic because it doesn't have the about me. What Alfonso has taught you is a concretion of what you are going to learn. Hey, I have a process that I want to take away from me. I want to free mental space. That's one. What are yours?

2:13:00

I have five, six, seven. And when you learn how it goes, it generates addiction. And sometimes even for the same things that I wouldn't need to do. But well, Alfonso, a million thanks. We'll let you go now. We'll let you go. We also apologize. We don't know how to stop. We get excited when we see that there is so much value. Before you leave, 10 seconds. Please open the chat, Andrea. A few words for Alfonso, the people who have been here. I'm sorry that I lost you somewhere. Let's see, Andrea.

2:13:27

Andrea, we open chat. What did you think? Brutal. Ufff.

2:13:32

grabáis espectacular gracias muy interesante wow muchísimas gracias genial muchas gracias un crack la bomba uff ha sido brutal brutal fabuloso grabáis impresionante bueno Alfonso seguro que lo puedes leer tú si no te lo va a leer Claude te va a enviar un whatsapp una nube de palabras te va a hacer de todo y te va a hacer la ola como nosotros hacemos Alfonso muchas gracias y por siempre también salir a bailar con nosotros y liderar de forma tan magistral nuestro curso de Claude que empezamos el 3 de junio un abracito

2:14:02

Thank you very much. Bye.

2:14:20

I have so many screens. Let's see, here it is. Last opportunity. Can you see the QR on the screen, Jean? I've been a little screwed up with this lately. Yes. Perfect. Come on, where are you going to share this and much more? Last opportunity. Give yourself a high hour in this group. Well, join, one click, two clicks, I would say, join and all this will reach you, plus the process of Alfonso.

2:14:44

What else? Hey, how do we have access to our certificate? As we told you, Claude's diploma for having been in this session with us. Well, it's very simple. You have another QR code. Please, companions, if you put the link also in the chat. And when you give that link to this QR code, it takes you to this form here, where there is a unique field. And the number you must put is 2652026.

2:15:15

O sea, el día de hoy. Os dejo un momentito para que tengáis pantallazo o os acordéis. Estamos a 26 del 5 del 2026, así que será fácil. Y como no, empezamos el 3 de junio. Yanuel, va para ti. Pregunta de examen. ¿Cuándo caray es el 3 de junio? No te oigo. ¿Has dicho algo? Es que tampoco te veo.

2:15:46

A moment in this live show where I don't hear you and I don't hear you. Well, June 3rd is, if I'm not mistaken, next Wednesday. We start very soon. Do you have the QR on the screen? In case you have questions, doubts, you are companies, contact us and we have special conditions. Now, yes. I confirm, Xavi, that it is Wednesday. The proof of what you do to me is every time we are live, friend. Well, we leave, we leave. Last reflections you have out there. Let's see.

2:16:16

There are many questions, but we have spent a lot of time... I have already left the question about companies. Andrea tells me that on Thursday we have a much shorter live broadcast, which is only to talk about all the companies that you want to join and especially the ones that you want to monetize this training for your teams through Fundae, which is what was formerly called Tripartita.

2:16:44

It's going to be on Thursday at 6 p.m. Andrea, say yes or no with your head. Yes, perfect. And everyone will get a link, both by WhatsApp and by... Yes, perfect. On Thursday, if you are companies, teams, or you want the company to pay you for training through Fundae, which is charitable, you come on Thursday and it will be much shorter to the point and we will talk about how to benefit from this training. Jan, to the yes.

2:17:10

.

2:17:29

We just killed ChatGPT. No, I don't think so. I think ChatGPT is still used, but we also use Cloud and it depends a little on what we need. How do you know what to put in the prompts? Well, there are two important things. The setting, which in Cloud the setting does need to be a little bit of... I mean, you need to have knowledge and it's super important.

2:17:52

um

2:18:22

um

2:18:36

What about privacy of data? We can't be answering so many questions right now, but this is also explained. There is a module within our Cloud training where we address the issues, where we explain immediately in the settings what you can avoid to share a lot of information. All this is explained in the training from the beginning. You will find it, I mean.

2:19:04

Yes, you can have different design systems per client. It's a configuration issue. How to automate content by networks? We just saw it. And this is fully explained in detail in the training again. So you will have it.

2:19:23

In Phoenix, we have started working with CloudWork, now Cloud is recommended. Well, we have talked about Cloud, but there are three levels in Cloud. There is the chat of Cloud, as there is in ChatGPT, there is the co-work and there is Cloud Code. Those three elements, or three universes of Cloud, we explain it in the training, but it is true that co-work is the way, perhaps the simplest, in quotes, to use all the Cloud presence,

2:19:52

versus Cloud Code, which is a little more techy, but we also explain it in the training, how to use Cloud Code.

2:20:00

How can I say, Claudio, someone who is writing in a book to correct it, to make it up, well, all this is a matter of training. In the end, the objective with our training is that you are operational from minute one. We start with the settings, we start by explaining how to be very productive from the beginning and then all the modules,

2:20:23

to answer all the questions we had today. But the truth is that we reached a tremendous level of productivity. The same thing I've taught in Chrome, it explains how to install everything in a very easy way, create the skills.

2:20:37

Todo está explicado paso a paso en detalle y la verdad es que es mejor de pasar esas horas en la formación y tenerlo súper bien funcionando y entender cómo hablar con Cloud que estar buscando durante horas y horas y horas contenido que explica la mitad de lo que realmente se puede hacer cuando lo vais a querer hacer. Y eso es, Xavi, no te escucho.

2:21:03

Thank you, Jan, because I hadn't remembered the questions that were pending. It's been a bit of a run-up, because from the beginning we've been a bit unfair with the time we've spent. I think it's worth its weight. We've done it with a lot of love, all of us. We do our best. Today we were four mentors, here doing...

2:21:24

Well, teaching a little what can be achieved. There were many questions, there is a lot of privacy and that is something serious. That is why in the training we teach how to activate, how to deactivate, how to share, what not to share. These are quite serious issues. We cannot play with this and this and much more is in the training. What do we always say? We think that and we always say it. We are a training school. We love it and we will love it on June 3rd in the direct welcome to give you a virtual hug, whether it is to all of you and all of you.

2:21:52

But those who, for whatever reason, can't come with us this June 3rd, we would tell you, don't stay behind. We can't, as professionals, ignore these signals. We can't do it. I mean, I hope everyone does it with us, but if you can't, for whatever reason, think about it. You can't stay behind.

2:22:15

Claude has, and that's why I imagine that the first edition was so successful, he has an added component that is much more powerful than what we saw at the beginning when we interacted with a chat, but it has a learning curve that at the beginning goes a little worse. At the beginning it's a little more annoying. It's not a chat, I'm telling you. Everything you've seen today, well, we have a little tour and that's why we'll be the ones who form, but at the beginning it's not easy. That's why we believe that the mentored training is how it has to be done. But those of you who are not going to do it for whatever reason,

2:22:44

Don't give up. You have to practice, practice, practice. If you don't have anyone by your side to teach you, keep going. Because from this, I think we can't make deaf ears those of us who work in our day to day with a computer. We hope to have motivated you and opened your eyes to everything that can be done. There were only four cases of everything that can be done. In the end, we have to choose cases, but each one has its own. And when I say in the program,

2:23:10

that we particularize the training to your case, is because when people said: "Can I write a book?" That's what we see in training. You know, Clot, now how do I do it? Alfonso, how do I do it? Iván, Xavi, Yanuel, how do I do it for the book? We are going to be particularizing the rights for each of our cases.

2:23:26

No me enrollo nada más. Muchísimas gracias a todos los que habéis venido, todas las que habéis venido, pero también muchas, muchas gracias a Andrea, Víctor, Aron, Ari, toda la gente que está. Me dejo gente, me sabe mal. Todo nuestro equipo que está ahí detrás, que no se ve, que no da la cara y que lo hace fenomenal. Y por eso nos han dejado los testimonios, que era la primera vez que los veía, que nos ha dejado los primeros alumnos de la edición 1. Un abrazo muy fuerte y espero veros a todos y todas. Si no es el jueves...

2:23:52

We will talk about how to monetize this foundation, if it is paid by a company or is for equipment, on Wednesday, which is coming on the 3rd. A hug and thank you for being there. Bye, bye. Ciao, ciao. Ciao.

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