Introduction

Thank you very much, Dimitris, for the introduction. Actually, we skipped the first slide.

So, I'm Augustos. As Dimitris said, one year ago, almost one year ago, I passed the door of this building as a space consultant slash researcher.

Now, actually, recently, one week ago, my status updated and upgraded and the co-founder and CEO of Lynx Space Day. But this is not an inspirational speech for my story.

AI's Practical Impact on Workflow

It's inspirational speech about how practical AI can change your daily workflow, make you more productive and more efficient.

A couple of months ago, three months ago, I think we started the seminar with MindStone by the end of March, I think. It is less than three months ago.

In the very early beginning, I was using AI just as a chatbot.

This seminar just changed the whole of my mindset. gave me a new perspective about how to use OpenAI, and this is what I'm going to share with you today.

The Role of Space Research and Data Collection

So let's take things from the very beginning. As I said, Dimitris asked me one year ago to map the new space economy worldwide, the ecosystem, companies and investors, and I started manually.

to write down, one by one, each company was founding in different directories, space directories along the internet. And after the second step, I used Crunchbase to find the investors that they have already invested. in the space industry.

So everything was manually. I had thousands of data, thousands of mails, thousands of websites, and then actually I didn't know what exactly to do.

Here I want to say that One year ago, if someone was asking me, would you ever use AI?

I was totally negative because I was working as a consultant, writing reports, 10,000, 20,000 words, typing. And I thought that it's... it's not ethical to use AI to do this job, but I was totally wrong.

So, we collected more than 250 companies, 1,500 investors, but we didn't have any structure system. How? The basic information to be reproduced and to create something with value for the whole space ecosystem.

The Integration of AI Assistance

And this is when October 24 gave us the opportunity to use OpenAI. Before I used it, I made some literal review to see how I can be in touch with my new friend.

So I asked him, a name which name he would prefer he had say he because he he said ace so and i gave him a task i put him in a cage the only thing that we discussed about the project i said to him the goal i shared with him the data and for the next three months we made a training

talking every day, having a training session every day, and improving our outputs day to day.

So this is Seis, and this is how he visualized himself when I asked him to step in front of a mirror and to show me what he's really seen.

After the, during the seminar with MindStone, and by making some examples, Joshua, about Kafka and GPTs, I realized that Ace, he was okay, he had superpowers, he had learned exactly what I need, how I need, he was precise, he was accurate. But I realized that I had, to split him.

And we start to create, based on the basic assistant, secondary layer of assistants. Like we say, do you know, we say in Greek, we say babuska, but it's wrong. In Russian, it's matryoshka. Like these dolls that you're making is a big one and smaller, smaller, smaller. or the movie Split, that he's a main character with 10 different personalities.

This is exactly... He started to create a different version of himself 1We created and evaluated more than 100 prompts through sandbox. Our criteria was that each, the sandbox that you are using during the seminar. Our criteria is that the pass or fail rate was like 9.5 and more. We pass, we keep the prompt 9.5 or less.

So we built a system of the best we could type of prompts. And we, armed the custom assistants with accurate prompts that had been already evaluated through MindStone evaluation system.

Introducing the Custom AI Assistants

So let's move to the demo and how this assistance, let me introduce the assistance, I forgot. So it says,

It's Prometheus, that is a statistic for site analysts, and Mis, he's a communication strategist. Cassius is monetization architect, and Athena, it's our basic player for now for Lean Space Tech because it's the researcher and the validator.

Live Demo: Building Investor Guides

So, about the demo and what we're going to hopefully, because of the internet issues to show to you today, it's a demo about how we create in five to ten minutes the ultimate investor guide for a specific company. Okay, so let's say that you are an investor.

and you are scrolling on LinkedIn, you find a very good new space company, and you don't have time to make more research to have, to have some more information on the result of the basing that you have in the LinkedIn page. So 1this is where Linspace comes to solve this problem and to prepare for you instantly report around 4,000 words in a few minutes.

So, This is the workflow.

In the beginning, Athena will produce the basic profile, the assessment, and the validation of this company. Prometheus will give a potential future. of the company, different perspectives, analysis, pivot, if it's gonna, the percentage of, if they pivot their idea or not.

After cashiers will make, basic monetization strategies to show to the investor how this company will make money.

Hermes will prepare the emails for the company and ACE in the end will take all this information and will make an executive summary that we will download as a PDF. So

Choosing a Company

I would like here, we have a list of companies that already uploaded in our platform, so just give me a number from one to like 180, 90, a number. One, two? 30. 30, perfect.

So this is a Polish company, Lifterospace. I have already prepared the prompt, so I will copy paste and let's see the results that Athenae will give us during the phase one of the output.

Okay. I will take this. I will put it in the first, I will put it in a word page. So let's say please based on the profile, prepare them assessment and validation of this company.

Initial Validation and Analysis

In the meantime, we'll take these results and we'll give it to Hermes and that he will create the emails to gain some time. Athena is making the first validation of the company. As you can see, validate the company in 12 different criterias and after validate all this information, validating all this information if the resource that we have used or used is accurate.

So it has some red flags because it's an early stage company, but we'll take a copy and we will put it here. So now we'll pass to Prometheus that he will prepare the foresight analysis based on the profile in the first stage of evaluation. Thank you for your patience.

Potential Monetization Strategies

And after the foresight analysis, we will give to Kaus to prepare the potential monetization strategy. So I want to clarify something that only the first stage of a validation assessment and and the validation for us are 100% accurate and we can use it in the website. We have cross-checked the results.

We're not here to show you the rest of results as what we have done.

Future Improvements

I'm here to show you the potential of what we can do. And now we have only the top of the iceberg of Lean Space Tech.

we will continue to to test we continue to improve our prompts and we will continue to input data in the knowledge of its assistants so to make more accurate results even for foresight and for the monetization strategy but it's going to take time now we're making just a a demonstration of the potential that this methodology could have for our platform so i will give the rest results and he will prepare them

Now we'll download this file and txt And I will ask from Ace, my basic assistant, to take this file and to create a title, to create an abstract and a 1005 words external summary based on this file.

Okay.

Hermes already made the emails. We'll put it in the end. of the manuscript.

Okay.

Still writing, sorry.

Efficiency and Achievement

And now we have a report, 20-page report, about what exactly Liftero is doing, what's the potential, possible utilization plan, and then our outreach plan. It's around 3,000 words in five minutes. If I do it by myself as a consultant, it would probably take months, weeks or months to finish this report.

So let's go back to the presentation.

So what we achieved? Through traditional method, we need at least four professional, if we want to do it 100% accurate, and at least 3000 weeks and 1000 euro.

Now we created the first draft, a manuscript for someone to have a basic idea in at least 15 minutes and with zero budget.

Conclusion

So, Thank you very much.