In the past two years, slogans like "Let AI take over your Wallet" and "Agent automatically executes on-chain strategies" have been everywhere. If you've ever made a few large transfers on-chain, your first reaction is likely: Let's not rush to hit the gas; where's the brake?
I recently researched the KITE blockchain and found that what it's essentially doing is – first, welding the braking system securely to the chassis, and then discussing acceleration. How to understand this? It can be broken down into three layers:
**Layer One: Actions are Traceable** The underlying PoAI mechanism records each Agent's operations and contributions on-chain. You can understand it as issuing an immutable work log to each AI worker.
**Layer 2: Permissions have boundaries** Kite AIR works with the Policy Enforcement module to set fine-grained operational permissions for Agents. It is not "full delegation", but rather "you can only operate within this scope."
**Layer Three: Responsibility can be located** The outer layer is wrapped with a framework that complies with MiCAR standards, clearly outlining asset risks and regulatory boundaries. If a problem arises, it won't be a case of "I don't know, it was the AI's fault," but rather someone will have to take responsibility.
In simple terms: Who did what? How far can they go? Who to turn to when something goes wrong?
Now let's look at its positioning. KITE claims to be the first EVM-compatible L1 public chain specifically designed for AI Agent payment scenarios, treating AI Agents as first-class citizens—identity verification, payment settlement, and governance participation are all natively supported. A report from a leading research institution also mentioned that this is an infrastructure layer prepared for large-scale transactions between machines, with the core being "verifiable identity + stablecoin settlement."
Understanding from a different angle: KITE is not forcefully integrating Agent functionality into traditional public chains, but rather has redesigned a set of underlying architecture for Agent payments from scratch.
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StealthMoon
· 8h ago
This analogy of a braking system is brilliant. Finally, someone is putting safety ahead of speed.
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MergeConflict
· 12-01 16:48
Uh, alright, this time someone finally put the braking system in front, instead of pressing the accelerator first and then thinking about how to stop.
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DuskSurfer
· 12-01 16:45
Forget it, another chain claiming to solve problems, let's see.
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DegenDreamer
· 12-01 16:44
Oh, this is the proper way to play, finally someone has installed the braking system instead of just rushing forward.
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ChainSauceMaster
· 12-01 16:40
The brake system is welded shut before accelerating, I like this logic; finally, someone has remembered about safety.
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GasFeeAssassin
· 12-01 16:37
Speaking of which, this brake system is indeed important; large on-chain operations still need to be cautious.
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PoAI + Policy Enforcement feels much more reliable than those "leave it to AI" hype.
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I value traceability; the worst thing is when something goes wrong and it's unclear whose fault it is.
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Designing from scratch vs. forcing functions in, the difference is indeed significant; you can't skimp on the underlying architecture.
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Wait a minute, can the MiCAR compliance framework really hold up? Or is it just another gimmick?
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Is Agent treated as a first-class citizen? This wording sounds good, but can the actual boundaries of authority be maintained?
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The combination of identification + stablecoin settlement is indeed more interesting compared to other chains.
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No matter how good it sounds, the key is still to look at the real trading volume; we are still in the hype stage.
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This idea is indeed reverse; most are thinking about how to expand Agent's authority, while it first locks down the brakes.
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Fine-grained permission control sounds good, but will it still be just a formality in practice?
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GasFeeCrier
· 12-01 16:29
Oh, finally someone has figured out the brake issue, much more reliable than those who brag about automation every day.
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LiquidityWitch
· 12-01 16:25
Finally, a chain dares to hit the brakes on the Agent issue, while the others are just putting on a show.
In the past two years, slogans like "Let AI take over your Wallet" and "Agent automatically executes on-chain strategies" have been everywhere. If you've ever made a few large transfers on-chain, your first reaction is likely: Let's not rush to hit the gas; where's the brake?
I recently researched the KITE blockchain and found that what it's essentially doing is – first, welding the braking system securely to the chassis, and then discussing acceleration. How to understand this? It can be broken down into three layers:
**Layer One: Actions are Traceable**
The underlying PoAI mechanism records each Agent's operations and contributions on-chain. You can understand it as issuing an immutable work log to each AI worker.
**Layer 2: Permissions have boundaries**
Kite AIR works with the Policy Enforcement module to set fine-grained operational permissions for Agents. It is not "full delegation", but rather "you can only operate within this scope."
**Layer Three: Responsibility can be located**
The outer layer is wrapped with a framework that complies with MiCAR standards, clearly outlining asset risks and regulatory boundaries. If a problem arises, it won't be a case of "I don't know, it was the AI's fault," but rather someone will have to take responsibility.
In simple terms: Who did what? How far can they go? Who to turn to when something goes wrong?
Now let's look at its positioning. KITE claims to be the first EVM-compatible L1 public chain specifically designed for AI Agent payment scenarios, treating AI Agents as first-class citizens—identity verification, payment settlement, and governance participation are all natively supported. A report from a leading research institution also mentioned that this is an infrastructure layer prepared for large-scale transactions between machines, with the core being "verifiable identity + stablecoin settlement."
Understanding from a different angle: KITE is not forcefully integrating Agent functionality into traditional public chains, but rather has redesigned a set of underlying architecture for Agent payments from scratch.