I have recently noticed a trend:
Collaboration between AI Agents is becoming increasingly complex, no longer just a 'one-to-one execution of tasks', but forming a multi-layer nested 'task contracting chain'.
You let A run a task
A will divide the task into five sub-tasks
These five sub-tasks will be assigned to B, C, D, E
If any of the sub-tasks fail, it may lead to the failure of the entire execution chain
This is not a technical issue
This is a matter of responsibility
Who should be held accountable?
Who bears the loss?
How to locate the failed nodes?
How is the refund processed?
Whose authority is overstepped?
Which Agent's judgment was incorrect?
Where was the risk triggered?
How to roll back the task chain?
How is behavior recorded?
These issues will soon be more important than 'Can AI run smarter'.
And this is precisely why I increasingly value Kite—
Its underlying structure is naturally suited for 'recording, verifying, and automatically determining responsibility chains'.
In this piece, I will thoroughly explain this logic.
I. AI Agent collaboration will be more complex than today's supply chains
You can compare it to the supply chain in the real world:
There are dozens of suppliers behind an order
Each supplier is behind different processes
Each process is backed by different labor forces
Any failure in a link will affect the final delivery
And the task chain of AI Agents will be more complex because:
They break down tasks further
Execution speed is faster
Calling APIs more frequently
Cross-chain and cross-country is easier
Mutual dependence is deeper
Rollback of failure is more difficult
Risk spreads faster
For example, you will understand:
You let AI help you automatically handle a 'business trip plan'
It seems to be a task
It may actually include:
Hotel booking Agent
Price comparison Agent
Budget Agent
Flight matching Agent
Visa Agent
Refund Agent
Insurance Agent
Risk assessment Agent
These Agents pass requests, information, and funds to each other in the background
Form a 'responsibility chain'
If the final journey fails
Ultimately, who made the mistake?
Which Agent exceeded its authority?
Which API provided erroneous data?
Which service provider deducted extra fees?
Which node needs to bear the loss?
You cannot solve it with Web2
You cannot push responsibility onto AI companies
You are even less likely to manually audit every call
This leads to a new infrastructure demand:
The collaborative chain of future AI requires a verifiable chain of responsibility
And Kite just happens to be doing this.
II. Why the responsibility chain can only be carried by chains, and cannot be borne by centralized systems
Traditional systems have three fatal flaws:
First, centralized systems cannot audit the execution details of AI sub-tasks
They can only see the 'results', not the 'process'.
Second, the records of centralized systems are unverifiable and do not have a basis for cross-party trust
Future AI collaboration must transcend enterprises, countries, and ecosystems
Centralized systems cannot serve as a unified source of evidence.
Third, centralized systems cannot solve responsibility transmission
Once responsibility passes through a second Agent, it has already left the control of this system.
And the chain inherently possesses:
Fine-grained recording
Cross-entity trust
Immutable logs
Evidence capability
Rollback capability
Verifiability
Can automatically trigger logic
Can connect multiple modules
Can serve as a 'single source of truth'
This is why the 'responsibility chain' must run on the chain.
But not every chain can do this
Must have:
Identity layer (who is the subject)
Behavior layer (what was done)
Authorization layer (can it be done)
Audit layer (how it was done)
Payment layer (how much was spent)
Settlement layer (how responsibility is borne)
Rollback layer (how to withdraw the process)
Ordinary public chains do not have these structures
Kite has.
III. Kite's Passport = Responsibility anchor point
Each AI Agent bound to a Passport is not just a permission controller
It is also the 'starting point of responsibility'
It defines:
Who does this Agent represent
What tasks can it perform
What is its limit
Under what rules does it operate
Whose will does it correspond to in which organization
Is its behavior traceable
Is its task provable in origin
Is its funding path verifiable
When a task goes wrong
Passport is the first anchor point of responsibility
It's not that 'AI made a mistake',
But rather 'this number, this behavior, this permission of the Agent made an error during execution'.
This shifts responsibility from ambiguity to clarity.
IV. The Modules system = 'node resolver' of the responsibility chain
This point is crucial.
Kite's module system is not meant to 'supplement functions'
It is used to record the 'task chain logical structure'.
Each module bears a responsibility node:
Risk control module: assessing risk
Behavior module: recording execution steps
Audit module: record execution order
Budget module: restricting deduction range
Cross-border module: check regulations
Credit module: assessing credibility
Validation module: verification of external APIs
Revenue sharing module: allocating responsibility ratios
When a task chain goes through 8 modules
Each module records its own 'responsibility fragment'
Ultimately forming a complete chain of responsibility trajectory
This is the responsibility chain
This is also a capability inherently possessed by Kite
V. Stablecoin settlement layer = 'economic consequences executor' of the responsibility chain
Responsibility cannot only be logical
Must have economic consequences
For example:
Which Agent should refund
Which service provider should bear the loss
Which node should supplement the deposit
Which call needs to be rolled back
Which module charges extra fees
Which dangerous behavior requires freezing funds
The stablecoin settlement layer allows these consequences to be automatically executed
Token-based systems can cause huge fluctuations and cannot bear responsibility transmission
Therefore, Kite chooses stablecoins, which is actually to make the economic consequences of the responsibility chain possess:
Determinism
Executability
Alignability
Accountability
Disputability
This is the true intention.
VI. A new concept will emerge in future AI Agent collaboration: responsibility mapping
You can think of it as:
Each task is a 'mini supply chain'
Each Agent is a node in the supply chain
Each call is an edge in the link
Each deduction is the weight of responsibility
Each failure point will leave traces in the mapping
Kite's on-chain structure is designed to generate this responsibility mapping
A verifiable, inferable, accountable task topology structure
Future enterprise collaboration, automated auditing, cross-organization cooperation, AI regulatory compliance
All need this mapping
And Kite has already tackled the hardest parts—
Behavior recording, permission boundaries, payment associations, responsibility traceability
All embedded in the agreement.
VII. My summary of Kite's tenth article: It is building the 'responsibility infrastructure' for the future automated world
The future of AI Agents is not an efficiency issue, nor a capability issue
But rather the issue of responsibility
Responsibility requires a chain
Chains require structure
The structure must be fine enough, strict enough, and verifiable enough
Kite is precisely building:
Responsibility anchor points of AI behavior
Responsibility records of task collaboration
Responsibility distribution among modules
Responsibility tracking of failure paths
Execution of responsibility for economic consequences
Responsibility standards for cross-border cooperation
In one sentence:
When all future AIs are entrusting tasks to each other
What truly matters is not who is the smartest
But whose chain of responsibility is the clearest, most trustworthy, and most capable of automatic execution
And currently in the entire industry
Only Kite is preparing for this future.
This is not a narrative
This is an institutional-level project.
