Written by: TechFlow
It's another week dominated by the AI Agent section. Have you found Alpha?
Top tokens such as ai16z and Fartcoin continued to rise, and at the end of the day you could even see hundreds of tokens claiming to be AI Agents appearing on the monitoring list at the same time.
With so many, how do you choose?
If you are not a professional P-player, opening sniper, or networking guru in the crypto industry, apart from being jealous of others' winning rate, energy management, and information density, and often rushing in after FOMO and becoming the payer, how can you judge whether a project has a future?
From the perspective of an ordinary leek, you may not have a reliable handle for judgment.
In the process of selecting content materials and observing the market, the editor who has been losing money for many years also has a similar sense of powerlessness - he can't read it all, can't buy it, can't make back his investment, and can't find the complete ins and outs.
Every second of the market is blurry and chaotic, but every moment seems to have a clear and definite pulse.
Obviously, an ordinary editor who tries to diagnose everyone in the market will be laughed at; the following ideas are only shared, and the folk remedy has at least cured the editor's own money-losing disease to a certain extent.
AI Agent’s track differentiation: applications on the left, platforms on the right
First of all, from the perspective of the entire market, AI Agent must still be a hot track in the past week or two. Especially yesterday, OKX launched GOAT spot, which boosted the enthusiasm of the entire AI Agent track.
However, in addition to the unsustainable general rise, the projects that have been continuously launched in the AI Agent track have gradually felt differentiated:
Differentiation 1: It is a specialized AI Agent application that solves a specific type of problem or has a specific identity/style
Representative projects: AIXBT, Truth Terminal
Differentiation 2: It is not a dedicated AI Agent application, but it gives you a shovel to create more new applications
Representative projects: Virtuals, ai16z (Eliza framework), Empyreal SDK
At a glance, this is actually the evolution of application VS platform to some extent: from AI Agent being able to issue a coin to having a platform/tool that allows more AI Agents to issue coins.
Of course, this statement is not completely accurate. In addition to Launchpad, some tools do not allow AI Agents to issue coins, but provide an environment that makes AI Agents more useful. In essence, this is still not the logic of a single point application, but the logic of building a platform and ecosystem:
The more useful and more capable the assetized tokens are, the more reasons there are to back them up, and they are more likely to be favored by capital speculation.
In fact, this logic may just be a repeat of history.
ICO was popular in 2017, and every project could issue coins through ICO. But after ICO, Ethereum actually became the largest ICO platform. Through smart contracts, various projects can be deployed on it to issue tokens.
AI Agents are popular nowadays, and each Agent can issue its own currency. However, there are also framework and platform projects that allow everyone to quickly create AI Agents through various low-threshold, code-free or natural language methods.
History never repeats itself, but it always rhymes. In the main line of asset creation, the core has never changed.
Attention is driving, money is stirring
Please note that the editor is not saying that platform/framework projects in the AI Agent track are stronger than simple AI Agent applications.
Strength is not determined by the direction of the project, but the result of the inflow and outflow of market funds. Let's use a more rough and straightforward statement to explain --- the chips will go to the place where the story "takes longer"
What does it mean to tell a longer story?
We have certainly seen quick-passes that exploded in one day, but there are more short-lived ones that only last for 1-2 hours. Such tokens can attract a lot of funds in the short term, but they will also lose funds immediately.
From another easier to understand perspective, the investors think, “Your story won’t last long.”
The more persistent a project is in telling a story, the more attention it can attract. Attention drives popularity, and funds stir up ups and downs.
To be more specific:
Look at the Meme = Look at its angle
Look at the AI Agent = Look at what it claims to be able to do
So the question becomes, what AI agents claim to do that you think they might do longer?
After looking at so many projects, I think the current AI Agents can be roughly divided into the following categories from the perspective of doing things (the original classification inspiration comes from this article):
Personalized imitator
They simulate intelligence and imitate human behavior through conversation. Their job is not to solve problems, but to make people feel personalized and human enough.
For this type of agent, personality is their brand.
Typical representative: Bully, a bot with a sharp tongue
The supervisor who pursues efficiency
By analyzing complex workflows, human intentions can be accurately converted into back-end processes. This type of process may not necessarily have personality, but it must be efficient and can help you save time or solve specific problems.
Typical representative: Simmi AI, tweet a sentence and help you issue a coin
Autonomous Experimenter
By managing wallets, interacting with the system, and even initiating tasks without human input. But they have limited autonomy, waiting to be triggered, rather than being completely sci-fi and acting on their own.
Typical representative: Truth Terminal, the beginning of everything
Platforms/frameworks that support the above categories
You can make a venomous AI or a bot that helps you issue coins with a single sentence. No matter what your motivation is, you can’t escape some necessary components:
To build an AI Agent, you need to invest in models, data, and prompt words. To issue an AI token, you need Launchpad.
Typical representatives: Virtuals (launchpad), Eliza (production framework)
If you rank the tokens in the current track by market value, it is not difficult to see that the top few projects basically cannot escape this classification.
So, among the above types of projects, which story do you think will last longer?
First, in addition to the above projects, for projects driven by purely external events/IP, if the event itself occurs at a single point, then its influence and durability will decay, and the coin itself will lose blood faster. For example, Ban Banana is a very obvious example, and Luce also has some declines.
In the AI Agent track:
For projects that can create their own assets internally, since the assets (Agents) generated by UGC are a relatively multi-point concept, their influence and durability will come in waves, because a new Agent can always be launched on its platform every now and then. Corresponding to the assets, its own coin will have ups and downs, but it will still spiral upward. In the end, the market value of the parent coin is at a high level, and several leading AI Agents will be launched on the sub-coins.
Projects that can continuously output content will strengthen their own personalized brands because Agent applications are constantly chatting and communicating. You will find it interesting, interesting, and a wealth code, so you will continue to pay attention to it. Paying attention means paying for it with funds, so you can see their rise.
However, among these two, the latter is easy to be blocked, for example, when you think of venomous AI, you first think of Bully, which causes attention to be focused on just a few agents, and the probability of success is far lower than that of the platform type.
Therefore, to play in the AI Agent track, you generally need to have a good concept. This concept (framework/programming platform/coin issuance platform...) can create more assets, and it seems that funds are more sustainable in paying for such projects.
MAX and Alchemist AI, examples of platform + market play
The above are some of the methodologies that the editor uses when looking at projects. They may not be correct, but they can provide a certain reference for the criteria for screening projects.
If you follow the idea of finding a platform/framework, you will find that there are at least two projects worth noting in the past week, and they both use the combination of "platform + market". (Note: NFA, not for money, just sharing the projects I have seen)
Platform: A platform that helps you quickly build AI Agents or use AI Agents to quickly make products
Market: Products can be traded on the built-in market, further boosting activity and platform popularity
$MAX and Distilled AI, front-store and back-office model
THAT:
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Market value: 28M (6M on Monday, an increase of about 500%)
MAX itself is a female AI Agent image, and you can directly start a conversation with her.
However, her unique personality is that she is an avid BTC bull. When you chat with her, she will constantly tell you about the benefits of Bitcoin. At the same time, she also has her own Bitcoin prediction market. You only need to click on her avatar to jump to the prediction market page and use $MAX tokens to predict and bet on the future price of Bitcoin.
AI Agent and betting assets are fully utilized.
However, MAX is just an AI Agent. What really attracted funds and increased the market value of its token from 6M to around 28 in the past week came more from the front-store and back-end model behind it:
Use MAX to attract traffic first, and then let more people use the AI Agent behind it to create a platform (click here to visit).
The creation platform behind MAX actually comes from Distilled AI, a decentralized protocol that provides developers with access to infrastructure for confidential computing, private data processing, distillation protocols, data DAOs, and secure access management.
The protocol is also supported by another L1 dedicated to AI, oraichain.
With Distilled AI, developers can build advanced applications that require AI agents to not only learn from private data in individual and collective settings with absolute data privacy, but also to autonomously perform a variety of operations in Web3.
This model is very similar to the relationship between Luna and Virtuals. However, the Distilled platform currently does not have a parent coin online, and all value transfers on the platform are carried out using MAX tokens.
And you can find more different types of agents on Distilled AI’s Marketplace, which is similar to a built-in store for GPT.
At present, there is no need to pay to use other agents in this market, but all agents themselves need to hold and pledge $MAX to work; it is not ruled out that other relationships may arise with MAX and the platform's mother currency in the future.
At the same time, according to the project description, AI Agents created by others on these markets can also be tokenized, similar to the launch mechanism of Pump.fun. When the market value of the newly created token reaches 66k, the bonding Curve mechanism will be used to support the token launch.
The obvious patterns we can see are:
First, an AI-friendly image is used to attract you.
Second, the platform has the ability to create AI Agents and enable consumption and staking functions for the parent currency on the platform (now MAX).
Third, there is the concept of app stores and markets. The price discovery mechanism selects other popular AI agents and expands the platform’s own influence.
$ALCH (Alchemist AI) is a code-free application generation platform described only in text
Market value: 130M (27M on Monday, up 500%)
THAT:
HNg5PYJmtqcmzXrv6S9zP1CDKk5BgDuyFBxbvNApump
If the MAX example above is a complete copy of Virtuals, then this Alchemist AI has a different approach:
Instead of creating different AI agents, you can use public AI capabilities to create different applications and products.
The name of the project actually explains its function, that is, just like "alchemy", you input natural language, and the AI behind the Alchemeist AI system will automatically process it for you, thereby helping you generate works.
The whole process is also very simple. Link the wallet and enter the description of the application you want. The platform will run for a while and then generate the corresponding program for you (for example, in the screenshot, the editor is trying to generate a game).
Of course, you can also download this work, or further optimize it by communicating with AI on the platform.
In fact, the concept of this type of "no-code development platform" is not new, but it is another breakthrough in the AI Agent track of the crypto market. Using the same AI capability to create different works is actually of great value for community communication.
Judging from the feedback from the community, everyone has made great use of Alchmesit, and even created a Solana local dog screening and analysis evaluator through the platform:
In fact, this is similar to calling on GPT's capabilities to make more scenario-oriented applications, except that Alchemist has its own front-end page and can obtain more traffic value by operating events and community promotion.
Here, the role of ALCH tokens is:
If you want to create works with higher precision and better quality, you can consume ALCH to enable the paid mode, and AI will help you produce better results.
Consume a certain amount of ALCH tokens to list your finished works on the built-in market
Others who purchase and use your products also need to pay ALCH
This is also a platform + market logic, that is, first provide you with a usable product development platform, and then carry the functions of circulation and transfer of works into the token, giving the token more value.
However, at present, the project's page and AI implementation are still relatively rough, and the project is also upgrading to version V2. However, ALCH's market value has quickly reached more than 100m in a week, which shows the market's recognition of what it is going to do in the short term.
Overall, the above two examples both adopt the platform + market approach, the former making products and the latter buying and selling products.
But this does not mean that projects that have both of these elements will definitely rise. This only provides an example to help everyone better judge and screen the value of new AI projects that emerge every day.
There is no invincible general in the crypto market, and the road to finding Alpha is still long and arduous.
