Author: TechFlow
Another week dominated by the AI Agent sector, have you found Alpha?
Top tokens such as ai16z and Fartcoin have been rising all the way, and at the end of the day you can even see hundreds of tokens claiming to be AI Agents appearing in the monitoring list at the same time.
With so many, how do you choose?
If you are not a professional P player, an opening sniper, or a network master in the crypto industry, in addition to being jealous of others' winning rate, energy management, and information density, and often becoming a payer after FOMO, how do you judge whether a project has a future?
From the perspective of an ordinary leek, you may not have a reliable judgment handle.
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 - can't see it all, can't buy it, can't get back the money, and can't find the complete ins and outs.
Every second of the market is blurry and messy, but every period of time seems to have a clear and definite pulse.
Obviously, an ordinary editor who tries to take the pulse of everyone in the market will be laughed at; the following ideas are only shared, and the folk remedies have at least cured the editor's own money-losing disease to a certain extent.
AI Agent track differentiation: applications to the left, platforms to 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 recently have gradually felt a sense of differentiation:
Representative projects: AIXBT, Truth Terminal
Representative projects: Virtuals, ai16z (Eliza framework), Empyreal SDK
Roughly speaking, 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. Except for Launchpad, some tools are not for AI Agents to issue coins, but they provide an environment for AI Agents to be more useful. In essence, this is still not the logic of a single point application, but the logic of building a platform and ecosystem:
Better and more usable, the tokens after assetization have more reasons for endorsement, and are more likely to be favored by capital speculation.
In fact, this logic may just be a repetition of history.
In 2017, ICO was popular, and each project could issue coins through ICO, but in the end, Ethereum actually became the largest ICO platform after ICO, and various projects could be deployed on it to issue tokens through smart contracts.
Now popular AI Agent, each Agent can issue a coin independently, but there are also framework and platform projects, which allow everyone to quickly create AI Agents through various low-threshold, code-free or natural language methods.
History never repeats itself, but it rhymes in the same way. In the main line of asset creation, the core has never changed.
Attention is driving, funds are stirring
Note that the editor is not saying that platform/framework projects in the AI Agent track are stronger than pure AI Agent applications.
Strength is not determined by the direction of the project, but the result of the inflow and outflow of market funds after the game. Let's use a more rough and straightforward statement to explain --- The chips will go to the place where the story "tells longer".
What does it mean to tell a story longer?
Of course, we have seen quick-passing disks that exploded in one day, but there are more short-lived disks 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 and withdraw immediately.
From a more understandable perspective, the funds think, "Your story will not be told for long."
The longer the storytelling of a project, the more attention it can attract. Attention drives popularity, and funds stir up the rise and fall.
To be more specific:
So the question becomes, which AI Agents claim to do that you think they may do longer?
After looking at so many projects, the editor feels that 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 imitators
Simulate intelligence and imitate human behavior through dialogue. Their job is not to solve problems, but to make people feel personalized and humane enough.
For this type of agent, personality is its own brand.
Typical representative: Bully, a venomous BOT
Supervisors who pursue efficiency
Analyze complex workflows and accurately convert human intentions into back-end processes. This type may not 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
Manage wallets, interact with the system, and even start tasks without human input. But they have limited autonomy and wait to be triggered, rather than being completely sci-fi and able to act on their own.
Typical representative: Truth Terminal, the beginning of everything
Platforms/frameworks that support the above categories
You can be a venomous AI or a Bot that helps you issue tokens with a sentence. No matter what your motivation is, you can't escape some necessary components:
To be an AI Agent, you need 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 projects, which one do you think will have a longer lasting story?
First of all, 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 decline.
In the AI Agent track:
For projects that can create their own assets, since the assets (Agents) generated by UGC are a relatively multi-point concept, its 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-coin.
Projects that can continuously output content, because the Agent application itself is constantly chatting and talking, it will strengthen its own personalized brand. You think it is interesting, interesting, and has a wealth code, so you will continue to pay attention to it. And attention means that funds are paid, so you can see their rise.
However, among these two, since the latter is easy to be blocked, for example, when you think of poisonous AI, Bully first, your attention is focused on a few Agents, and the probability of success is far lower than that of the platform type.
Therefore, to play 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 gameplay
The above are some methodologies when the editor looks 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 2 projects worth noting in the past week, and they all use the combination of "platform + market". (Note: NFA, not for making 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: The products made can be traded in the built-in market, further promoting the activity and popularity of the platform
$MAX and Distilled AI, front-store and back-field model
CA:
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However, MAX is just an AI Agent. What really attracted funds and made its token market value rise from 6M to around 28 in the past week came more from the front-store and back-end model behind it:
Use MAX itself to attract traffic first, and then let more people use the AI Agent behind it to create a platform.
The creation platform behind MAX actually comes from Distilled AI, a decentralized protocol that provides developers with access to confidential computing, private data processing, distillation protocols, data DAOs, and secure access management infrastructure.
The protocol is also supported by another L1 oraichain dedicated to AI.
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 perform various operations autonomously 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 with MAX tokens.
You can find more different types of Agents on Distilled AI's Marketplace, which is similar to a built-in store of GPT.
At present, it does not cost to use other Agents on this market, but all agents need to hold and stake $MAX to work; it is not ruled out that there may be other relationships 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 provides support for token launch.
The obvious routines we can see from this are:
First, a friendly AI image leads to attract you to use
Second, the platform has the ability to create AI Agents, and enables consumption and staking functions for the mother currency on the platform (now MAX)
Third, there is the concept of an app store and a market, and the price discovery mechanism selects other popular AI Agents to expand 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%)
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, the editor tried to generate a game in the screenshot).
Of course, you can also download this work, or further optimize it by talking to AI on the platform.
In fact, the concept of this kind of "code-free 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.
From the feedback of the community, everyone has played with Alchmesit, and even created a Solana local dog screening and analysis evaluator through the platform:
In fact, this is similar to calling the ability of GPT to do more scene-oriented applications, except that Alchemist has its own front-end page, and can also obtain more traffic value through operating events and community publicity.
Here, the role of ALCH tokens is:
If you want to make works with higher precision and better quality, you can consume ALCH to start the paid mode, and the results produced by AI will be better.
Consume a certain amount of ALCH tokens and put your own works on the built-in market
Others who buy and use your products also need ALCH to pay
This is also the logic of a platform + market, that is, first provide you with a usable product development platform, and then carry the circulation and transfer of works and other functions into the tokens, giving the tokens more value.
However, at present, the page of the project and the effect of AI implementation are still relatively rough, and the project is also upgrading to version V2. But the market value of ALCH has quickly passed to more than 100m in a week, which shows the market's recognition of what it wants to do in the short term.
Overall, the above two examples have adopted the platform + market gameplay, the former makes products, and the latter buys and sells products.
But this does not mean that projects that have these two elements will definitely rise. This is just an example to help everyone better judge and screen the value of new AI projects that come out every day.
There is no invincible general in the crypto market, and the road to finding Alpha is still long and arduous.