# AITA | Future of AI agents - Pedro | ETHDam III - 2025 - Channel: [CryptoCanal](https://streameth.org/cryptocanal) - Date: 2025-10-07 - Duration: 16:01 - Watch: https://streameth.org/watch/yt-71lpq7ipfZE - YouTube: https://www.youtube.com/watch?v=71lpq7ipfZE ## Description Welcome to the 3rd Edition of ETHDam, hosted May 9–11, 2025 in Amsterdam. This year, we brought together the brightest minds in privacy, security, and AI for a unique 48-hour hackathon + conference combo. 🌷 https://www.ethdam.com// 🌷 ------------------ AITA | Future of AI agents - Pedro | ETHDam III - 2025 - Pedro | ETHDam III - 2025 🎀 About the Speaker: Pedro is the General Manager of AITA, where he works alongside a talented team to explore the intersection of AI and decentralized finance. His focus is on building practical solutions that harness AI to improve security and automate processes within blockchain environments. He has worked on projects where AI agents help manage liquidity, automate trading strategies, and enhance platform security. Before joining AITA, he gained experience in both AI technology and blockchain systems, always striving to find ways these technologies can work together to bring real-world benefits. He is passionate about sharing the lessons he has learned and continuing to explore how AI can positively impact decentralized systems. 𝕏 Follow: https://www.aitaprotocol.com/ https://x.com/AQTIS_IO ------------------ About ETHDam & CryptoCanal ETHDam is powered by CryptoCanal, an education and events platform rooted in Amsterdam, expanding into Rotterdam and ZΓΌrich. Keep up with us to see updates on future events: https://www.cryptocanal.org/ Follow CryptoCanal on X: https://twitter.com/CryptoCanal Join CryptoCanal TG Community: https://t.me/CryptoCanalCommunity Join CryptoCanal Discord: https://discord.com/invite/XJVjpCqQBz CryptoCanal unites crypto enthusiasts committed to making a positive impact. Unapologetically political, we prioritize education, events, and services while championing cypherpunk values like privacy, sovereignty, and censorship resistance. ------------------ πŸŽ₯ Credits: Intro / outro by babyPRO - https://babypro.art/ ETHDam Photography by Paulus – https://concretestate.eu/ MC of ETHDam - James Campbell - he builds decentralized, end-to-end encrypted, privacy tools. Come and say hello on Farcaster https://farcaster.xyz/theref ------------------ Special thanks to our partners who made ETHDam possible: 🌹 Hackathon – Bouquet: Oasis Network https://oasisprotocol.org/ 🌷 Hackathon – Petal: Circles https://aboutcircles.com πŸ’› Conference – Gold: Zano https://zano.org/ Dash https://www.dash.org/ Bitvavo https://bitvavo.com/en 🩢 Conference – Silver: Igra Labs https://igralabs.com/hero πŸ’› Conference – Copper: Lido https://lido.fi/ DeTrip https://detrip.travel/ Cake Wallet https://cakewallet.com/ The Grid https://thegrid.id/ Calimero Network https://calimero.network/ 0xbow https://0xbow.io/ Mina https://minaprotocol.com/ JobStash https://jobstash.xyz/ Cyber Capital https://www.cyber.capital/ POAP https://poap.xyz/ Acronym Foundation (Supported our Top 10 Hackers) https://acronymfoundation.org/ 🌱 Sponsor: EF Ecosystem Support Program https://esp.ethereum.foundation ------------------ 0:00 Welcome & Intro 0:28 AI Access for Everyone 1:34 What Makes AITA Different 2:55 Four Key Features 4:46 Revenue Model & Token Mechanics 5:54 Creating AI Agents Step-by-Step 7:03 Upgrades: Backtesting & Automation 8:31 Stack & Tools Used 10:59 Live Agent Creation Demo 13:01 Configuring Trading Strategy ## Transcript Welcome to Isa to Isa to I join uh actis uh where we developed it is uh we are uh I'm going to tell you what we are. I'm going to keep it as fast as possible because my main challenge today would be to create an AI agent in less than a minute. Um so let's go for it. So what is the problem statement now? What what is the what we are trying to solve with ITA? Of course some of some of you here probably do not agree with this but from the user perspective this is something common we have here. Most of us we are very confident with AI. That's why we are here. We we we are familiar with it. But I can bet like 90% of even more of the people do not know how to use it or are afraid to use it or thinks that hey Amazon, Google like all the AI tools are built for institutions and not for the final users. And if I'm a user and I want to consume AI, I probably have to use chat GPT. I have to use uh DeepS. I also have to use uh loable to build apps or whatever the AI I have to do, I have to do different prompts on different platforms. If I want to create a X automation, how should I do it? So there are like very different challenge from the user perspective that we are trying to solve in the same platform. when it comes to trading specifically um bots from a couple uh years ago were considering the market conditions same as they are now and in my opinion that is one of the biggest mistakes because now we have institutions we have big players and the market changed a lot. So, ITA is a decentralized platform that uh allows everyone to create, test, and deploy AI agents in, as I said, less than a minute hopefully. And unlike traditional bots, as I mentioned before, uh our bots are se self-learning. So, every time we or you as a agent creator uh execute your agent, it improves and learned every single time. And how we do this I'm going to explain you very quick but we have over the last year and a half we have been developed uh quant and AI algorithms uh with a lot of quan system that make this happens. So we have four main USBs, four main features which um I'm going to summarize in this uh four uh cards which is you just create your agent. When you create your agent, you have a token that it's attached to the agent. So you can mint as a create creator up to 1 billion uh token of your agent. You can put upgrades on top of your agent as a back testing trading strategy and X integration. for example. And the best part because we I think we are auditions here. I love to trade personally. You start receiving signals of your trading strategy right next to your Telegram account if you subscribe to of course. And I want to show you how it works. Um as a as a platform um our protocol it's sustainable because we are splitting the uh revenues with our Asian creator. So it's a win-win. On our case, uh we collect 60% of transactional fees in our platform. We collect a a fee for creating an agent, 60% of LP fees because when you create an agent, we have a bonding curve process that once it gets rich, we create an automated uh liquidity pool on unis swap with your bot uh pair with USDC. And there is I'm explaining this a bit technical, but as a user, you will see there is nothing you have to do. And we have a signal subscription model and the back testing fees. And the most interesting part is as a creator of the agent. So you start building your AI company because you receive 40% of your LP fees and transactional fees. Uh you mean up to 1 billion of your token. So if you have a great marketing presence or if you have a good community and you start sharing that with you, of course there is an speculative thing that the price of the token is going to go up because the more demand the higher the price. uh you have the possibility to create your social media expansion, you generate new revenue streams and on phase three this is something we are going to launch uh soon with a great integration we are finish it with hyperlquid you're going to have the possibility to automate your trades so there is nothing manual that you would have to do as a Asian creator on on top of all this ITA it platform ecosystem we have of course ITA token which it's very connected with our platform because we have a strong buyback mechanism attached to every single transaction and fee collected in our platform. I'm not going to get a very deep into this. We have an entire gbook documentation talking about buybacks. How much percentage of every single transaction we dedicate in an automatic way to our buybacks. Um but it's important to highlight that our main token is uh what is generating value to our platform. So real use case like this is a talk I'm I'm here to explain a little bit because usually what we see is okay how can I use um probably the the people designing this kind of uh I'm not a designer but something has to do with anyways um so three steps as creation this is very very easy uh the users create an AI agent by just defining the name, ticker, and description. Once he submits or she submit the transaction, up to 1 billion token are being generated within the bonding curve. I'm going to show you that. And the users like other ones, not the Asian creator, even the Asian creator as well, can access to the signals of that trading agent by just holding X amount. In this case, it's 10 million Asian tokens and receive trading signals. uh what is important about that specific part in the in the third step is like as a user if someone else creates an agent and I have zero knowledge on trading experience I can leverage others knowledge by just buying them token so it's a win-win because if I rise if I buy 10 million of your token then the price is going to go up and we both win and so now the Asian has a business model a token economy and as I mentioned before a value for the creator and his community after the Asian is creator. Three more uh upgrades that we are developing more uh some of them are are live some of them are still in in progress. uh adding back testing and financial information. As I mentioned before, I'm going to explain you this very quick, but my background uh forced me to talk about uh finance uh a little a little bit more. Uh the trading strategy X in automation and the vault to automate trades. What is the stack behind this? Uh we are using a lot of ABS of course. Um there is we we are using uh LMS and there is one very powerful tool that we are using which is bedrock. Not sure if anyone is familiar with that. It's a new uh sorry this is live demos. Um it's uh a very powerful tool that it's powered by by ABS that we are using to uh provide a like a friendly interface for the user to communicate with his bot. Um as I said our main uh layers are quant systems. We have been developed over a year and a half for AI algorithms and uh a lot of trading strategies in Python to allow the users the possibility to create one without the strong knowledge about trading and then the possibility to uh thanks to our smart contracts and all the integrations that we do between Python ABS and our smart contracts in Solidity, we allow the users the possibility to uh mean their tokens and uh this won't incur process as I was mentioning before. This sounds a bit uh complicated sometimes when I when I speak but not sure how much time uh left I have but let's just do it. This is our platform. We launched a couple of days ago. Uh we already have 19 agents. Uh not too much TVL but not bad for launching a couple days ago. We are still growing very uh very uh early stage and all this uh like uh agents that you we see here. So the the difference is this clock here means the bonding curve is still in progress. The green check mark means that this agent has attached a trading strategy back testing. But what what we are going to do is just to create an agent. Uh in this case I have a little bit of help just to uh because this is the part we are working on that I'm going to to just create the agent. I'm going to call uh ether edge the ticker would be ed oops edh and let's just find the description. So the description could be everything you now we are working very close with artists for example and the artist has literally minus 10 knowledge about trading. So but they don't care about this. They care about the possibility to tokenize their art. So they are now selling uh four pieces of art for the first one to buy the tokens. So you the artist can put value on top of uh his agent. Uh, also we have this uh small gallery here for people who just want to keep it uh pretty and and download an image from from our gallery. I already did it. So I'm going to uh select of course I love Messi. I'm Argentinian. What do you expect? Um so the fee we charge for creating an agent it's uh 100 USDC uh which is uh we are deploying arbitrum. Uh so users we have to uh have that bridge done if it's coming from Ethereum mainet and hopefully the dog make uh the thing he has to do when someone it's at home and that's it. The aation has been created. Of course, spending cap request. Confirm. I have another signature. Yeah, usually this is a bit faster when I'm uh at home, but let's see. And that's it. So it took me literally less than a minute to create the AI agent. I'm going to finish very quick with show showcasing the upgrades because now what can I do? So if I go to view my agent, this is live. That's it. So I can start like sharing with my community with my friends with whatever I want with uh on it could be on X for example that I I have this uh automated message. it can be changed. This is we are working a lot on on on this. It's the part of the LMMS and everything we are working uh soon some of the agents we have the possibility to automate the trades based on the trading strategy and this is the part I like the most like the the telegram signals that I'm going to show you guys as well. uh if you if I buy in my case 10 million of um Ether Edge tokens, I will have the possibility to receive signals based on his trading strategy. But the golden question is which one is his trading strategy. So I don't have any I didn't apply yet. So I can't create the back test for this trading strategy. And this is a part it's our main core because I'm going to I'm going to show you very quick the the the flow. So there are like three different trading strategies possible to attach to this session which could be momentum breakout or trend following. Of course uh each of them has different uh risk tolerance and let's say I'm very digent. So breakout is quite aggressive. And then this is the market bias if I want to trade bullish signals because I I my sentiment is quite positive. If I prefer to catch both signals, long and short or just bearish. In this case, I'm going to select both. And I have different group of tokens. This is how we are building the portfolio of this agent. we on the background what we do is we select the top 15 coins with more volume and momentum in order to provide more accurate signals to the Asian creator and in this case I'm going to select um all just to uh cover all the possibilities uh only one day it's allowed for now so we are sending one day signals and 1 hour and 4 hour is coming uh quite soon and this is uh has to do with the slipage and How um open are the user to receive signals uh earlier or later? I'm going to just put it fast because I'm quite aggressive. This is the same for the exit. And the risk management I'm quite uh medium because I don't want to be too aggressive or too conservative. And this is the uh signal ranking method. This is the way we highlight the best performing talk uh coins. It could be volume, volatility or momentum. I'm going to select volume and that's it. So this part as you see it's a little bit more uh it takes a little bit more of time but this is it. So you have all this. I'm going to close this talk with uh there are a lot of things to keep uh investigating about uh the Asians. For example, when an when the Asian already have uh the trading strategy already uh attached, you can just uh check the uh the full uh back test in comet which is an integration that we did with uh with this platform with all the financial information and trading strategy of the agent. Uh so you can see like all the from back from 2020 how the trading strategy was performing the KR the cumulative returns the timing market if it's profitable it's not this is quite uh institutional information which we are providing for free to every single one creating uh agents and last but not least this is uh sentinel the main ITA agent that we are already testing the X automation So if you want to go follow and check it out and again if you want to uh see what is coming uh scan the cure core join our telegram group and that's it. Thank you very much. Thank you. [Applause] There any questions? Nope. No. Okay. Thank you very much. Really appreciate it. Yeah.