In this article, we delve into the topic of agenti AI, and we see all the steps necessary to create your own intelligent virtual assistant.
These technological entities can manage and process a wide range of crypto market data, making decisions autonomously and automating specific processes. However, let’s be careful to distinguish AI agents from the tokens that represent them in a speculative capacity on the market.
All the details below.
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What are AI agents and how do they work?
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AI agents represent models of artificial intelligence designed to automate, optimize, and enhance various activities in the real and/or digital world. They can be conceived as true virtual assistants capable of interacting with users or other systems autonomously, based on a predefined set of information.
Within the crypto sector, their use can be aimed at developing trading strategies, adjusting orders based on market conditions. Sometimes they can be used to perform on-chain analysis, create insights, identify patterns of suspicious behavior (hacks, rug pull) and provide decision support with recommendations based on predictive models.
In more specific cases, these AI interfaces can even help to detect changes in market sentiment, by monitoring news and social media posts. They might even present their own personality, adapting the tone of communication and behavior based on the user and the environment they interact with.
Essentially, AI agents can perform any type of operation, as long as they have access to an endpoint and programming APIs. Their limit is determined by human imagination, and of course by the computing power of the underlying infrastructure and the training data they present.
The most “powerful” assistants are simply those that have access to a wide range of data and can handle multiple requests simultaneously based on specific machine learning models.
The main virtual assistants in the crypto sector
Nowadays, there are different types of AI entities that operate within the cryptocurrency industry, and they are classified based on their primary use.
In itself, even classici chatbot come ChatGPT e Copilot have an important role in the digital asset sector, being capable of providing information on a wide range of topics.
Although they are not able to conduct in-depth analyses or accurate market forecasts, they are still very useful for interpreting news, answering general questions, and staying updated on developments in the crypto world.
There are also AI agents more oriented towards the analysis and study of charts, which are able to provide precise automated trading strategies. In this case, it is essential that these bots are associated with a statistical-mathematical model with which they can make the correct decisions and replicate the right operations. The most well-known platforms for launching these trading automations are 3Commas, HaasOnline, Cryptohopper, Shrimpy, and TradeSanta.
In most cases, however, the most popular AI agents in the crypto world are those that live on X acting with their own social account. In this context, they operate in a hybrid manner, posting and interacting with users on specific topics, providing insights on on-chain analysis, and highlighting new speculative opportunities.
Among the AI agents present on X, the most well-known are Fartcoin, AI16Z, Sender AI, Griffain, Luna, Virtual, AIXBT, Do Kween, Orbit, and Thales and TMAI.
Very interesting is also the bot Bender AI, which reports in real-time new pools created on the Solana blockchain, filtering the most promising tokens with the most liquidity.
How to launch your own AI agent: all the necessary skills
Launching an AI agent can be more or less easy or difficult depending on the type of bot you want to create and the intended use. Generally, launching an AI entity that requires a large amount of data and computing power can require a significant investment in addition to in-depth programming skills.
If you want to design a trading bot, there are no-code solutions like those mentioned earlier, to which low-cost API interfaces must be connected. However, to launch a successful AI assistant that can make the right investments, it is essential to have your own working strategy that only needs to be automated.
To do this, it is necessary to perform several backtests on a large data sample, simulate operations, evaluate performance, and refine the predictive model.
Some parameters to implement for your trading strategy could be: statistical deviations of prices, breaking of a moving average, volume variation, inflows and outflows of liquidità, etc.
To create an AI agent to connect to your X account (or a new profile), it is necessary to create an account on the social media’s Developer Portal and create an API application to obtain access keys. At this point, you will need to choose the Machine Learning/AI platform most suitable for the purpose of our bot, such as OpenAI, Rasa, and TensorFlow.
After setting up access to the X API and choosing the AI framework, it will be time to write the bot code to generate automated responses.
A piece of advice for non-developers is to use platforms like Make.com, which help manage and plan activity on X without having to code any lines. Make.com offers a large community and up-to-date documentation, but if you want to try, there are valid alternatives like Zapier and the startup Buildship.
Distinguish the token from the technology
Remaining within the scope of AI agents on X, it is important to clarify the nature of this technology and its distinction from the tokens that, although associated with it, do not necessarily reflect its functioning. In fact, often these tokens are created to generate hype, without a real connection to the AI, representing it only in a superficial and speculative way.
It is essential to understand that the token of an AI agent has nothing to do with its underlying technology. Coins like AIXBT, AI16Z, FAI, GRIFFAIN, and ANON do not present specific use cases and do not confer powers to their holders. They have simply managed to attract the attention of crypto investors thanks to the strong narrative of artificial intelligence that is underway.
While AI agents offer real opportunities in improving interaction and automation on X, the tokens tied to this narrative do nothing but exploit the market’s enthusiasm, without offering any real added value.
