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🔥$FHE has already caught the attention of major companies and investors.
If you are still caught up in petty squabbles in the doge groups, it's really time to pause.
Because smart money has recently been clearly shifting in one direction—FHE (Fully Homomorphic Encryption).
This track isn't large, but it's very cruel:
Many can tell stories, but there's basically only one that can land.
First, let's look at the hardest part: Is anyone using it for 'real'.
Mind Network's MCP (MindAgent MCP),
has already integrated with Byte Volcano Engine MCP,
and has been practically called upon in the Coze AI intelligent platform.
This is running real business, not PPT collaboration.
At the same time, it is also the first FHE project officially integrated by DeepSeek (can be checked on GitHub),
and it has already passed through Alibaba Cloud, entering the enterprise-level encrypted AI inference production environment.
This step directly cleared the 'technical feasibility' hurdle.
Looking at the blockchain, data won't play tricks.
• MindChain active addresses designed specifically for AI: 2.27 million+
• Over 60,000 AI Agents running on AgenticWorld
• FHE Bridge has accumulated 3.2 million encrypted transactions, with over 650,000 addresses participating
This is no longer the 'concept stage',
but rather the infrastructure is continuously being consumed and used.
Lastly, let's talk about the funding side, which is the most sensitive point now.
$FHE current price 0.076U, the price doesn't seem too noisy,
but if you look at the Binance gain list, doesn't it appear repeatedly?
Then look at the contract trading volume, the speed of increase is obviously faster than the price.
Trading volume / market value is close to 1:1, what does that indicate?
It indicates that chips are being crazily swapped, and attention has truly returned.
Let me add a few more signals:
Binance Research mentioned, Cointelegraph research coverage,
selected as one of the first incentive projects by Chainlink.
The institutional lights have already been turned on.
So my view on FHE is very simple:
This is not the kind of coin that chases a single K-line,
but rather a stage where technology has landed, and funds are starting to reprice.
Whether to participate is up to your judgment and risk control.
I'm just laying out the structure I see.
$FHE #FHE
If you are still caught up in petty squabbles in the doge groups, it's really time to pause.
Because smart money has recently been clearly shifting in one direction—FHE (Fully Homomorphic Encryption).
This track isn't large, but it's very cruel:
Many can tell stories, but there's basically only one that can land.
First, let's look at the hardest part: Is anyone using it for 'real'.
Mind Network's MCP (MindAgent MCP),
has already integrated with Byte Volcano Engine MCP,
and has been practically called upon in the Coze AI intelligent platform.
This is running real business, not PPT collaboration.
At the same time, it is also the first FHE project officially integrated by DeepSeek (can be checked on GitHub),
and it has already passed through Alibaba Cloud, entering the enterprise-level encrypted AI inference production environment.
This step directly cleared the 'technical feasibility' hurdle.
Looking at the blockchain, data won't play tricks.
• MindChain active addresses designed specifically for AI: 2.27 million+
• Over 60,000 AI Agents running on AgenticWorld
• FHE Bridge has accumulated 3.2 million encrypted transactions, with over 650,000 addresses participating
This is no longer the 'concept stage',
but rather the infrastructure is continuously being consumed and used.
Lastly, let's talk about the funding side, which is the most sensitive point now.
$FHE current price 0.076U, the price doesn't seem too noisy,
but if you look at the Binance gain list, doesn't it appear repeatedly?
Then look at the contract trading volume, the speed of increase is obviously faster than the price.
Trading volume / market value is close to 1:1, what does that indicate?
It indicates that chips are being crazily swapped, and attention has truly returned.
Let me add a few more signals:
Binance Research mentioned, Cointelegraph research coverage,
selected as one of the first incentive projects by Chainlink.
The institutional lights have already been turned on.
So my view on FHE is very simple:
This is not the kind of coin that chases a single K-line,
but rather a stage where technology has landed, and funds are starting to reprice.
Whether to participate is up to your judgment and risk control.
I'm just laying out the structure I see.
$FHE #FHE
PINNED
See original
🔥$FHE has already caught the attention of major companies and investors.
If you are still caught up in petty squabbles in the doge groups, it's really time to pause.
Because smart money has recently been clearly shifting in one direction—FHE (Fully Homomorphic Encryption).
This track isn't large, but it's very cruel:
Many can tell stories, but there's basically only one that can land.
First, let's look at the hardest part: Is anyone using it for 'real'.
Mind Network's MCP (MindAgent MCP),
has already integrated with Byte Volcano Engine MCP,
and has been practically called upon in the Coze AI intelligent platform.
This is running real business, not PPT collaboration.
At the same time, it is also the first FHE project officially integrated by DeepSeek (can be checked on GitHub),
and it has already passed through Alibaba Cloud, entering the enterprise-level encrypted AI inference production environment.
This step directly cleared the 'technical feasibility' hurdle.
Looking at the blockchain, data won't play tricks.
• MindChain active addresses designed specifically for AI: 2.27 million+
• Over 60,000 AI Agents running on AgenticWorld
• FHE Bridge has accumulated 3.2 million encrypted transactions, with over 650,000 addresses participating
This is no longer the 'concept stage',
but rather the infrastructure is continuously being consumed and used.
Lastly, let's talk about the funding side, which is the most sensitive point now.
$FHE current price 0.076U, the price doesn't seem too noisy,
but if you look at the Binance gain list, doesn't it appear repeatedly?
Then look at the contract trading volume, the speed of increase is obviously faster than the price.
Trading volume / market value is close to 1:1, what does that indicate?
It indicates that chips are being crazily swapped, and attention has truly returned.
Let me add a few more signals:
Binance Research mentioned, Cointelegraph research coverage,
selected as one of the first incentive projects by Chainlink.
The institutional lights have already been turned on.
So my view on FHE is very simple:
This is not the kind of coin that chases a single K-line,
but rather a stage where technology has landed, and funds are starting to reprice.
Whether to participate is up to your judgment and risk control.
I'm just laying out the structure I see.
$FHE #FHE
If you are still caught up in petty squabbles in the doge groups, it's really time to pause.
Because smart money has recently been clearly shifting in one direction—FHE (Fully Homomorphic Encryption).
This track isn't large, but it's very cruel:
Many can tell stories, but there's basically only one that can land.
First, let's look at the hardest part: Is anyone using it for 'real'.
Mind Network's MCP (MindAgent MCP),
has already integrated with Byte Volcano Engine MCP,
and has been practically called upon in the Coze AI intelligent platform.
This is running real business, not PPT collaboration.
At the same time, it is also the first FHE project officially integrated by DeepSeek (can be checked on GitHub),
and it has already passed through Alibaba Cloud, entering the enterprise-level encrypted AI inference production environment.
This step directly cleared the 'technical feasibility' hurdle.
Looking at the blockchain, data won't play tricks.
• MindChain active addresses designed specifically for AI: 2.27 million+
• Over 60,000 AI Agents running on AgenticWorld
• FHE Bridge has accumulated 3.2 million encrypted transactions, with over 650,000 addresses participating
This is no longer the 'concept stage',
but rather the infrastructure is continuously being consumed and used.
Lastly, let's talk about the funding side, which is the most sensitive point now.
$FHE current price 0.076U, the price doesn't seem too noisy,
but if you look at the Binance gain list, doesn't it appear repeatedly?
Then look at the contract trading volume, the speed of increase is obviously faster than the price.
Trading volume / market value is close to 1:1, what does that indicate?
It indicates that chips are being crazily swapped, and attention has truly returned.
Let me add a few more signals:
Binance Research mentioned, Cointelegraph research coverage,
selected as one of the first incentive projects by Chainlink.
The institutional lights have already been turned on.
So my view on FHE is very simple:
This is not the kind of coin that chases a single K-line,
but rather a stage where technology has landed, and funds are starting to reprice.
Whether to participate is up to your judgment and risk control.
I'm just laying out the structure I see.
$FHE #FHE
See original
Falcon Finance: As liquidation efficiency, execution certainty, and risk engineering capabilities are re-priced, it is entering a true 'institutional-grade track'
I have become increasingly clear about one judgment during this period:
The core competition in the next round of DeFi will no longer be TVL, APY, or narratives, but 'execution certainty'—who can maintain accuracy, avoid dropping chains, and prevent delays under extreme market conditions.
This matter was not important before, because DeFi users were mostly retail investors; it is now becoming increasingly important, as structural changes are happening on-chain:
Liquidity is becoming scarce
Institutional participation strategies are becoming more complex
Automated trading tools are growing rapidly
Cross-chain trading density has become unprecedentedly high
And once the market structure changes, the old design thinking will gradually become outdated. Agreements that can truly be valued by long-term funds must meet three conditions:
The core competition in the next round of DeFi will no longer be TVL, APY, or narratives, but 'execution certainty'—who can maintain accuracy, avoid dropping chains, and prevent delays under extreme market conditions.
This matter was not important before, because DeFi users were mostly retail investors; it is now becoming increasingly important, as structural changes are happening on-chain:
Liquidity is becoming scarce
Institutional participation strategies are becoming more complex
Automated trading tools are growing rapidly
Cross-chain trading density has become unprecedentedly high
And once the market structure changes, the old design thinking will gradually become outdated. Agreements that can truly be valued by long-term funds must meet three conditions:
See original
📣 There is an airdrop at 9 PM today, score 230
There are no new coins on Monday, sob sob sob, it's another blind box of old coins
Rumors about the weekend alpha going bankrupt, the sister has already replied that she doesn't know
Still holding on to my old account and persisting with alpha
Alpha, please don't leave me, what would I do without you (of course referring to the alpha of September's prosperity🙏
#alpha #美联储降息
There are no new coins on Monday, sob sob sob, it's another blind box of old coins
Rumors about the weekend alpha going bankrupt, the sister has already replied that she doesn't know
Still holding on to my old account and persisting with alpha
Alpha, please don't leave me, what would I do without you (of course referring to the alpha of September's prosperity🙏
#alpha #美联储降息
See original
Apro: The 'semantic layer' of on-chain intelligence is taking shape, and the next generation of protocols will no longer rely on raw data
If I had to summarize the changes happening in Web3 right now in one sentence, I would say:
The execution logic of the chain has not changed, but the input logic of the chain has quietly changed.
The protocol is no longer satisfied with passively receiving 'data'; they are beginning to actively seek 'meaning'.
In other words, although smart contracts are still the original contracts, what they hope to receive is no longer prices, balances, or events, but rather the structure, intentions, and impacts behind this data.
This industry-level shift can actually be seen in many fields this year.
AI Agents need context
The execution logic of the chain has not changed, but the input logic of the chain has quietly changed.
The protocol is no longer satisfied with passively receiving 'data'; they are beginning to actively seek 'meaning'.
In other words, although smart contracts are still the original contracts, what they hope to receive is no longer prices, balances, or events, but rather the structure, intentions, and impacts behind this data.
This industry-level shift can actually be seen in many fields this year.
AI Agents need context
See original
The counter-cyclical signals exhibited by Falcon Finance during the 'structural liquidity exhaustion cycle' are more indicative than superficial data.
The further we go into this market phase, the more I realize one thing:
The emotional indicators are almost entirely worthless, while the importance of structural indicators is exaggerated infinitely.
Especially in situations of liquidity exhaustion, where incremental increases disappear and funds are only willing to bet on high certainty, whether a protocol has a 'anti-fragile structure' is more critical than TVL, daily active users, or hot topics.
And Falcon Finance is one of the few protocols that have shown counter-cyclical strengthening signals during this phase.
It was only after observing three weeks of on-chain execution data that I confirmed this is not a temporary noise, but a real structural advantage beginning to surface.
The emotional indicators are almost entirely worthless, while the importance of structural indicators is exaggerated infinitely.
Especially in situations of liquidity exhaustion, where incremental increases disappear and funds are only willing to bet on high certainty, whether a protocol has a 'anti-fragile structure' is more critical than TVL, daily active users, or hot topics.
And Falcon Finance is one of the few protocols that have shown counter-cyclical strengthening signals during this phase.
It was only after observing three weeks of on-chain execution data that I confirmed this is not a temporary noise, but a real structural advantage beginning to surface.
See original
Lorenzo Protocol: When yields start to possess 'structural deferred capability,' on-chain capital can finally move from short-term speculation to asset allocation logic.
In this article, I want to raise the dimension to a concept that is discussed in traditional finance but is rarely touched upon in the on-chain world—Deferred Structural Yield.
Why discuss deferred yield capability?
Because this is the key structure that determines whether 'capital is willing to stay long-term.'
All past on-chain yield systems share a common characteristic:
The returns must be calculated and distributed immediately.
Without distribution, there is no attractiveness; without provision, there is no TVL.
Therefore, all on-chain returns are extremely shortsighted, immediate, and have no extensibility.
Why discuss deferred yield capability?
Because this is the key structure that determines whether 'capital is willing to stay long-term.'
All past on-chain yield systems share a common characteristic:
The returns must be calculated and distributed immediately.
Without distribution, there is no attractiveness; without provision, there is no TVL.
Therefore, all on-chain returns are extremely shortsighted, immediate, and have no extensibility.
See original
Kite: What is truly missing in AI automation systems is 'decision transparency'
In the past few years, I have attended quite a few internal corporate meetings on AI promotion, and I have found one consistent and realistic issue:
Companies are not afraid of AI making inaccurate decisions, but they are afraid of the decision-making process of AI being completely opaque and unverifiable.
What has AI done?
Why do it?
What conditions has it referenced?
Which steps has it bypassed?
Has it called modules that it shouldn't have?
Is its path automatically adjusted or forced to adjust?
Has it expanded the tasks?
Has it modified the budget in advance?
Has it made actions that violate policies?
Companies are not afraid of AI making inaccurate decisions, but they are afraid of the decision-making process of AI being completely opaque and unverifiable.
What has AI done?
Why do it?
What conditions has it referenced?
Which steps has it bypassed?
Has it called modules that it shouldn't have?
Is its path automatically adjusted or forced to adjust?
Has it expanded the tasks?
Has it modified the budget in advance?
Has it made actions that violate policies?
See original
Yield Guild Games: While the industry still treats players as 'task nodes', YGG is already building a 'structural value system for players'.
The deeper I study, the more certain I am:
The biggest problem in the blockchain gaming industry is not insufficient incentives, not a lack of gameplay, not a lack of traffic, but that the entire ecosystem's understanding of player value still remains at the **'task node'** level.
Players are seen as objects to assign tasks, addresses that can be activated, and the number of KYC that can be piled up.
But in any mature industry, what truly builds long-term value is never the 'number of nodes', but the 'structure of nodes'.
What YGG does is to upgrade the 'player nodes' into a 'player value structure' from the root.
The biggest problem in the blockchain gaming industry is not insufficient incentives, not a lack of gameplay, not a lack of traffic, but that the entire ecosystem's understanding of player value still remains at the **'task node'** level.
Players are seen as objects to assign tasks, addresses that can be activated, and the number of KYC that can be piled up.
But in any mature industry, what truly builds long-term value is never the 'number of nodes', but the 'structure of nodes'.
What YGG does is to upgrade the 'player nodes' into a 'player value structure' from the root.
See original
Apro: When the chain evolves from 'execution machine' to 'cognitive system,' the explanation layer becomes the new competitive point
After being in the industry for a long time, you will notice a pattern: every true infrastructure upgrade occurs when the system 'starts to not understand itself.' Expansion happens because the chain cannot handle the transaction volume; oracles arise because the chain cannot see the external world; the index layer emerges because the chain cannot organize its own data; and now, the chain is facing a new bottleneck - it can execute but cannot understand.
More and more protocols are beginning to realize that no matter how strong the execution is, if the input itself is low-dimensional, fragmented, and lacks semantics, then the contract can only complete 'mechanical tasks' and will never be able to truly advance towards intelligence.
More and more protocols are beginning to realize that no matter how strong the execution is, if the input itself is low-dimensional, fragmented, and lacks semantics, then the contract can only complete 'mechanical tasks' and will never be able to truly advance towards intelligence.
See original
Lorenzo Protocol: When the yield system has 'structural continuity', BTC assets can first be regarded as truly configurable capital, rather than a periodic speculative tool
Having written so many articles, you will see a trend:
I have been deliberately pulling Lorenzo out of 'product-level discussion' and shifting to 'system-level discussion.'
Because what truly determines whether a yield system can enter the capital mainstream is not APY, not narrative, not short-term cooperation, but a more fundamental issue——
Can the yield maintain 'continuous operation.'
Continuity is the lifeline of all financial systems.
Without continuity, there is no risk model;
Without continuity, there is no asset pricing;
Without continuity, there is no institutional participation;
I have been deliberately pulling Lorenzo out of 'product-level discussion' and shifting to 'system-level discussion.'
Because what truly determines whether a yield system can enter the capital mainstream is not APY, not narrative, not short-term cooperation, but a more fundamental issue——
Can the yield maintain 'continuous operation.'
Continuity is the lifeline of all financial systems.
Without continuity, there is no risk model;
Without continuity, there is no asset pricing;
Without continuity, there is no institutional participation;
See original
Falcon Finance: The future of the stablecoin system does not lie in the speed of expansion, but in whether 'risk costs can be repriced by the market.'
This year I have become increasingly clear about one thing:
The core competition in the stablecoin sector in the future is not TVL, nor returns, but whether 'risk costs are transparent and can be repriced by the market.'
Because after the entire industry has gone through a barbaric phase, capital begins to realize that the value of a stable system and its ability to resist risks are always linked.
You cannot rely solely on growth to prove your reliability, nor can you make risks disappear through narrative.
Whether the market can understand, predict, and quantify risks is the key factor that ultimately determines the credit rating.
Falcon Finance is one of the few protocols that constructs a stable system from the perspective of 'risk costs.'
The core competition in the stablecoin sector in the future is not TVL, nor returns, but whether 'risk costs are transparent and can be repriced by the market.'
Because after the entire industry has gone through a barbaric phase, capital begins to realize that the value of a stable system and its ability to resist risks are always linked.
You cannot rely solely on growth to prove your reliability, nor can you make risks disappear through narrative.
Whether the market can understand, predict, and quantify risks is the key factor that ultimately determines the credit rating.
Falcon Finance is one of the few protocols that constructs a stable system from the perspective of 'risk costs.'
See original
Kite: When AI automation begins to execute across systems, the real challenge is status consistency
Recently, while observing scenarios where enterprises are beginning to integrate multi-agent workflows, I discovered a persistent yet overlooked root problem—AI performing a task often needs to reach multiple systems, and the statuses of these systems are independent of each other.
The inventory system has its own status
The payment system has its own status
The risk control system has its own status
The cross-border system has its own status
The vendor system has its own status
Internal approval has its own status
Logistics and procurement have their own statuses
Humans can align these states in their minds and then execute a 'coherent action'.
The inventory system has its own status
The payment system has its own status
The risk control system has its own status
The cross-border system has its own status
The vendor system has its own status
Internal approval has its own status
Logistics and procurement have their own statuses
Humans can align these states in their minds and then execute a 'coherent action'.
See original
Yield Guild Games: While the blockchain gaming world is still operating around 'project lifecycles', YGG has already begun to establish 'a long-term identity ecology for players'
The more I write, the more obvious it becomes, I am increasingly convinced:
The biggest problem in the blockchain gaming industry is not the short lifecycle of projects, but rather that the entire system has never considered allowing 'players themselves to have a lifecycle'.
The project has a lifecycle,
Narratives have a lifecycle,
Tracks have a lifecycle,
Tokens have a lifecycle,
but players do not.
Players have been forced to jump between one cycle after another, starting over each time.
This means that the entire industry has not formed a 'player ecology' at all, only a 'project ecology'.
And YGG is exactly filling this gap in the underlying structure that has been missing for ten years—
The biggest problem in the blockchain gaming industry is not the short lifecycle of projects, but rather that the entire system has never considered allowing 'players themselves to have a lifecycle'.
The project has a lifecycle,
Narratives have a lifecycle,
Tracks have a lifecycle,
Tokens have a lifecycle,
but players do not.
Players have been forced to jump between one cycle after another, starting over each time.
This means that the entire industry has not formed a 'player ecology' at all, only a 'project ecology'.
And YGG is exactly filling this gap in the underlying structure that has been missing for ten years—
See original
I noticed $FOLKS because its trend is noticeably more stable in this year's market. It launched around 2 dollars on Binance and later reached over 17 dollars, which seems more like the market's continuous pricing of fundamentals rather than an emotional surge.
@FolksFinance has been deeply cultivated for many years, originally a core DeFi application in the Algorand ecosystem, now shifting to cross-chain, addressing a core issue: fragmented liquidity. Users can deposit assets on one chain and borrow on another, without needing to deal with cross-chain bridges themselves.
xChain V2 is a key step; it is not just simple chain expansion but reconstructs cross-chain lending as a complete market, aiming to make unified liquidity the default solution.
Currently, Folks has covered Avalanche, Ethereum, Base, BNB Chain, Arbitrum, Polygon, Algorand, Sei, Monad, supported by infrastructure such as Wormhole, Chainlink CCIP, Circle CCTP, etc.
$FOLKS circulates natively across multiple chains through Wormhole NTT, and based on FDV, it is already one of the larger assets in the lending sector. The recent launch of Bybit futures also reflects market recognition.
If you are focused on the next stage of cross-chain DeFi rather than short-term hype, @FolksFinance is worth trying out yourself before making a judgment.
@FolksFinance has been deeply cultivated for many years, originally a core DeFi application in the Algorand ecosystem, now shifting to cross-chain, addressing a core issue: fragmented liquidity. Users can deposit assets on one chain and borrow on another, without needing to deal with cross-chain bridges themselves.
xChain V2 is a key step; it is not just simple chain expansion but reconstructs cross-chain lending as a complete market, aiming to make unified liquidity the default solution.
Currently, Folks has covered Avalanche, Ethereum, Base, BNB Chain, Arbitrum, Polygon, Algorand, Sei, Monad, supported by infrastructure such as Wormhole, Chainlink CCIP, Circle CCTP, etc.
$FOLKS circulates natively across multiple chains through Wormhole NTT, and based on FDV, it is already one of the larger assets in the lending sector. The recent launch of Bybit futures also reflects market recognition.
If you are focused on the next stage of cross-chain DeFi rather than short-term hype, @FolksFinance is worth trying out yourself before making a judgment.
See original
$ESPORTS Caught me and killed me 😭 Just bought in and it plummeted. After holding for more than ten minutes, I sold at a loss and then it started to rise again.
From now on, I will check at midnight. The first time I did it in the afternoon, it was a disaster, wuwu.
From now on, I will check at midnight. The first time I did it in the afternoon, it was a disaster, wuwu.
See original
Apro: The Moment of Formation of 'Understanding Ability' on the Chain, the Industry is Embracing New Production Relationships
Looking back at the past five years of Web3, one can see a very obvious change: the relationship between protocols has gradually shifted from 'functional combination' to 'capability combination'. A chain no longer solely pursues TPS, and a protocol no longer solely pursues TVL; what they pursue together is 'the ability to handle complex systems'.
The deeper I delve into the industry, the more I can feel a trend accelerating towards us —
The chain starts with a structure similar to the 'cerebral cortex' to explain, filter, and categorize the vast information from the external world.
The more complex the logic, the more necessary this layer becomes.
The deeper I delve into the industry, the more I can feel a trend accelerating towards us —
The chain starts with a structure similar to the 'cerebral cortex' to explain, filter, and categorize the vast information from the external world.
The more complex the logic, the more necessary this layer becomes.
See original
Falcon Finance: While most stable systems are still stuck in the 'asset stacking' era, it has already entered the 'structural governance' era.
If you look long enough, you'll find that the stablecoin track has never really entered 'engineering competition'.
In the past few years, more than 90% of projects have been competing on the same thing: how much assets I can mortgage, how fast I can grow, and how much TVL I can attract.
The core logic of this era is 'stacking', the scale of the stack, the collateral of the stack, and the incentives of the stack.
But today's on-chain competition is no longer about 'how high the stack is', but about 'how stable the structure is'.
For the first time, the market has started to evaluate a stable system using 'engineering standards' rather than 'marketing standards'.
In the past few years, more than 90% of projects have been competing on the same thing: how much assets I can mortgage, how fast I can grow, and how much TVL I can attract.
The core logic of this era is 'stacking', the scale of the stack, the collateral of the stack, and the incentives of the stack.
But today's on-chain competition is no longer about 'how high the stack is', but about 'how stable the structure is'.
For the first time, the market has started to evaluate a stable system using 'engineering standards' rather than 'marketing standards'.
See original
Kite: What Must Be Added in the Era of AI Automation is Actually 'Task Lifecycle Governance'
Recently, I have been looking more closely at the automated pilot processes within several companies, and I have discovered a pattern:
AI performs in enterprises not as isolated tasks, but as a series of tasks that automatically derive, expand, and rewrite.
Companies originally thought that what they provided to AI was a defined task:
Place Order
Price Comparison
Approval
Payment
Verification
Cross-border Processing
However, after receiving the task, what AI actually executes is a series of dynamic links:
Split Subtasks
Call External API
Generate Auxiliary Steps
Trigger Multi-Agent Collaboration
Automatically Adjust Priority
AI performs in enterprises not as isolated tasks, but as a series of tasks that automatically derive, expand, and rewrite.
Companies originally thought that what they provided to AI was a defined task:
Place Order
Price Comparison
Approval
Payment
Verification
Cross-border Processing
However, after receiving the task, what AI actually executes is a series of dynamic links:
Split Subtasks
Call External API
Generate Auxiliary Steps
Trigger Multi-Agent Collaboration
Automatically Adjust Priority
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