aif

#加密市场观察 #Aif Imagine this: you are buying an AI operator that works for you 24 hours a day. If we were to personify AIF, it would be this role: an AI operator + marketing + buyback specialist deployed on BSC, it doesn't take leave, doesn't slack off, and is always online to work for you. Every day, it does the following in the background: • actively goes out to 'pull customers': automatic traffic generation, automatic promotion, helping the project find new attention; • buys itself with its own money: automatically repurchases according to preset rules; • after buying itself, it 'loses weight': automatically destroys repurchased chips, gradually increasing the scarcity of the remaining chips. Therefore, the core logic that AIF wants to convey is actually one sentence: traffic = fuel for the buyback engine, buyback = source of scarcity. What you are buying is not just a string of code, but an experimental machine trying to use AI to turn Meme into a 'self-operating system.' Although the world of Meme is high risk, carefully studying the project logic and making small investments for value won't lead to significant losses.

#Aif AIF：这一次，Meme 币背后真的是一台 AI 引擎
大部分 Meme 币，只有情绪没有「大脑」。
AIF 想做的，是把 AI 直接塞进代币的底层逻辑：
• 部署在 BSC 的 Meme 代币；
• 核心机制是：自动引流、自动推广、自动回购、自动销毁、AI 自主运营；
• 用一句话概括就是：流量即回购，回购即稀缺。

简单理解：每一份被 AI 引擎吸来的流量，都有机会被转化为对 AIF 的买盘；每一笔回购，又会触发销毁，把筹码一点点「吃瘦」。
背后运转的是一套 24 小时在线的 AI 系统，负责捕捉热点、投放内容、追踪数据，让项目进入一种 「越被讨论 → 越多回购 → 越稀缺」的飞轮。

当然，这依旧是高风险的 Meme 赛道，不是建议你梭哈，只是告诉你：这是一个真的在用 AI 改造 Meme 模式的尝试。你感觉值得尝试吗？DYOR。

Many people have begun to fantasize about how to use contracts for short-term trading after $Aif goes live.
Before that, I want to say something unpleasant upfront:

The liquidity structure of new projects on the first day is unstable,

The volatility range is unpredictable,

The order book can easily be swayed by a small amount of capital.

So my rule for myself is:

"In the first few days after AIF actually goes live, observe first, do not open contracts."

I would rather miss out on a segment of the market,
than put my first practice trade in the most difficult position.
#Aif

For projects like $Aif that haven't been launched yet,
the best practice is 'How to write a trading plan before going live'.

Taking it as an example, I would write in my notebook in advance:

On the day of the launch, will I participate, and if so, what percentage of my total position will I use;

What situations will lead me to choose 'just observe';

Once I participate, how to set the first take-profit line and the first stop-loss line respectively.

On the day of the launch, the emotions will definitely be loud,
but as long as you have a pre-written plan in hand,
you won’t be led by the nose by the first K line.
#Aif

还没上线的 $Aif，
已经在很多群里被吹成“下一只神话”。

这种时候最危险的不是项目本身，
而是我们自己的想象力：

想象一上线就十倍；

想象自己这次一定踩准节奏；

想象别人都看不懂，只有自己是“先知”。

真正的「反爆仓思维」，
是在项目还买不到的时候，
就先想清楚——
如果上线当天走出最差的走势，我能不能承受？
#Aif

The not yet launched $Aif,
has already forced us to think about a very interesting question:

"When a coin's narrative, content, and exposure,
a large part of it is completed by AI,
are we really trusting the project, or are we trusting the algorithm?"

Maybe looking back a few years from now,
AIF is just one of many experiments;
it might also be the starting point that binds "AI operation" and "token mechanism" together.

The rational approach is:
neither to overly deify it,
nor to easily mock any attempts.
Let time pass for a while,
and then use data to answer all the assumptions of this round.
#Aif

$Aif 这个项目放在 AI+Web3 大图里，
其实是在回答一个老问题：

「运营能不能被写进代码？」

它给出的答案是：

把宣发当作一串可拆分的任务，

让 AI 去执行：开号、写文案、追热点、搭内容矩阵，

再把这些动作产生的结果，反馈到回购和销毁机制里。

我觉得它更像一个 “运营系统实验”，
如果实验成功，以后可能会有更多项目直接复用类似框架；
如果失败，也会告诉我们：
哪些环节目前还不能完全交给 AI。
#Aif

$Aif 代表的，其实是一种把运营自动化写进代币经济的尝试

如果往大一点的格局看：

过去我们看一个项目：团队、产品、社区；

现在多了一个新维度：“自带什么样的运营系统”。

AIF 把这块交给 AI 去跑，是第一代版本，
将来可能会有第二代、第三代，
比如更精准的受众画像、更复杂的内容策略、更智能的预算分配。

这条线走得通，
可能会改变很多小项目的生存方式；
走不通，也会告诉后来者：
哪一些环节必须仍然由人类把关。
#Aif

像 $Aif 这种还未上线的项目，
最适合练习的是 “上线前如何写交易计划”。

以它为例，我会提前在本子上写好：

上线当天，我是否参与，如果参与，只用总仓位的多少；

看到什么情况选择“只看不动”；

一旦参与，第一条止盈线、第一条止损线分别怎么设。

上线当天情绪肯定很吵，
但只要你手上握着一份提前写好的计划，
就不会被第一根 K 线牵着鼻子走。
#Aif

📱69｜爆仓洲际导弹（带单·情绪管理）

还没上线的 $Aif，
已经在很多群里被吹成“下一只神话”。

这种时候最危险的不是项目本身，
而是我们自己的想象力：

想象一上线就十倍；

想象自己这次一定踩准节奏；

想象别人都看不懂，只有自己是“先知”。

真正的「反爆仓思维」，
是在项目还买不到的时候，
就先想清楚——
如果上线当天走出最差的走势，我能不能承受？
#Aif

Ordinary traders facing the not yet launched $Aif,
what they can do is actually very limited:

There is no need to compete for the title of "the first to say they are optimistic";

There is no need to pre-write stories to exaggerate it as a god;

All that is needed is to quietly record:

What are its design highlights;

Where might it get stuck;

Whether the team continues to deliver afterward.

Once all this is observed,
even if the final decision is "not to participate",
this observation will become your experience for judging projects next time.
#Aif

很多新手一看到还没上线的项目 $Aif，
第一反应是：上线那天冲不冲？

我反而想让你先练习另外一个问题：

「一个还买不到的项目，值得不值得你花时间研究？」

判断的几个小标准：

白皮书和介绍是不是讲清楚了要解决什么问题；

机制有没有明显的自相矛盾；

团队在公开场合有没有正面回答过风险相关的问题。

先学会看项目，再考虑看行情。
#Aif

Recently, I've seen people on various chains using the name $Aif to issue fake coins.
Just a reminder for friends who are new to the space:

The real AIF has not yet officially launched a version available for purchase;

The most dangerous phase before launch is the various "fake contract addresses," "early versions," and "beta coins";

Any link claiming that you can buy the "official AIF" right now should be viewed with skepticism.

Before a project opens for external trading,
The safest way to participate is: just look at the information, don't open your wallet.
#Aif

A couple of days ago, I came across an introduction to $Aif, and my first reaction was:
"Isn't this just an entire AI operations team assigned to a Meme coin?"

For projects that haven't launched yet, I usually keep an "observation log":

First impression: What problem is it solving?

Second impression: Is the team being overly optimistic?

Third impression: Is the community seriously discussing the mechanisms, or are they just fantasizing about getting rich overnight after the launch?

When the day of the actual launch arrives, looking back at this log,
You'll find that many pitfalls were actually hinted at in the text before the launch; it’s just that you didn’t understand them at the time.
#Aif

Recently researching a project $Aif that hasn't launched its token yet,
The interesting point is that it has already written into its mechanism the question of 'who will operate it later' —
It has designed an AI to be responsible for promotion, traffic generation, and creating momentum from the start, and then uses the money from monetizing traffic for future buybacks and destruction.

For traders, at this stage, there are only two things they can do with such projects:
1) Understand the mechanism, clearly write down what they agree and disagree with;
2) Think in advance whether they want to create 'first-day sentiment' once it goes live, or just observe and not participate.

True preparation is not about rushing in early, but about understanding the rules in advance.
#Aif

After wandering around the community, AIF feels more like an 'AI operation experiment field'

Today, I wandered around a few groups and squares and found the discussions about $Aif to be quite interesting:
Some are researching how the AI promotion system behind it actually works,
Some are looking at the pace of on-chain buybacks and burns,
And some are simply treating it as an 'AI + Meme sentiment target' for short-term speculation.

For me personally, what attracts me is:
It takes the issue of 'no one doing operations in the later stages of the project' as a core problem to solve,
Trying to fill the gap of traditional human operations with AI.

As for how it turns out, it may take a whole market cycle to verify:
Whether a new 'AI operation template' emerges,
Or if it is just a flashy story in this round of the bull market.
#Aif

看到 $Aif 这个项目，你会怎么分类？

今天刷到好几条在聊 $Aif：
说它是「全球首个由顶级 AI 自动运营的 Meme」，
AI 自己开号、自己发内容、自己追热点，
赚到的流量钱再用来回购 + 销毁代币。

我自己目前的感受是：

概念确实新，抓住了 AI + Meme 这两个情绪点；

但在没有更长时间数据之前，很难判断这套闭环能不能跑过一个完整周期。

如果按你自己的标签来分，$Aif 更像是：
A. 正经在尝试新模式的 AI 项目
B. 包装很会讲故事的 Meme
C. 无所谓分类，反正就是高风险投机标的

你会选哪一个？
#Aif Aif

Daily news in the cryptocurrency circle (list type ‘Three Questions to Understand $Aif’)

Use 3 questions to understand what story $Aif is telling

Recently, many people have been asking what $Aif is actually doing. You can quickly locate it using three questions:

1️⃣ What pain point does it solve?
Many memes are ignored a few days after launching, relying entirely on people shouting for promotion. $Aif aims to use AI 24/7 to create an ‘automated operations team’.

2️⃣ How does it design the value closed loop?
AI drives traffic and monetizes across platforms → Revenue is uniformly used for token buybacks → Sent to a black hole address for destruction. The project team emphasizes that there is no additional minting, and no team sell pressure.

3️⃣ What role do users play in it?
According to the official statement, you don’t need to help with operations; you just need to decide whether to make a small position buy and hold, to see if this AI system can sustain in the long term.

The story sounds new, but ultimately, it comes back to the old question:
Can traffic really be monetized, and can buybacks and destructions be executed in the long term?
#Aif

Automatic Promotion + Automatic Destruction: AIF wants to outsource "project operation" to AI

One of the biggest challenges in traditional projects is:
Popularity relies on human shouting, traffic relies on spending money, and once it stops, it cools down.

$Aif has taken a relatively aggressive approach:

Delegating promotional work to AI: automatic account creation, automatic posting, automatic trend chasing;

Using the money from monetizing traffic for token buybacks + destruction, emphasizing "no issuance, reduced supply."

From the perspective of model design, it captures two current keywords: AI + Scarcity.
However, we must also recognize a practical issue:
The quality of content produced by AI and the sustainability of traffic monetization will directly affect how long this closed loop can run.
For ordinary participants, a more rational stance is to: treat it as a high-volatility meme, first observe the actual results produced by the mechanism, and then discuss the long term.
#Aif

如果把 $Aif 拍成一部剧，它讲的可能是这样的故事：

第一集：
无数 Meme 币在牛市里被喊到天上，
退潮之后，项目方、运营团队散得比谁都快，
留下一地没人打理的社区和失联社媒账号。

第二集：
有人开始问——
“能不能让一个项目从第一天起，就把‘怎么被看见’写进机制里？”
于是有了 $Aif：
一枚背后挂着 AI 宣发引擎的 Meme，
自动开号、自动发帖、自动追热点，
再把流量收益用来回购 + 销毁代币。

第三集：
真正好看的部分，其实还没上演：

AI 产出的内容能不能比真人更懂圈子？

这套回购 + 销毁的节奏，在行情不好时还能不能坚持？

当热度不再新鲜时，留在场内的人到底在看重什么？

$Aif 想讲的，也许不是“下一支暴富神话”，
而是一种新的尝试：
让 AI 不只帮人画图、写文案，而是直接去维护一个币的存在感。
至于这部剧会是爽文，还是纪录片，还得由时间来写。
#Aif