Recently pondering Kite, I found that everyone is focused on how fast its 'payment highway' is, which is certainly important. But what I'm more interested in is another question: how do the AI 'drivers' running on this highway know whether the AI next to them is a reliable 'experienced driver' or a potential 'road killer' that could crash into your car?
To put it bluntly, for collaboration between machines, having a road is not enough; there needs to be 'trust'. The most impressive aspect of Kite might be that it is trying to establish a 'credit system' for each AI agent at the protocol level by 'registering' them and 'creating files', aiming to build a native 'credit system' for the machine society.
1. Question: Is the AI world still an 'anonymous society'?
Now, when two AIs interact, it's like two masked individuals trading in the black market; behind the wallet address, it's unknown whether the person is trustworthy or not. What does this lead to? Simple, one-time transactions can happen, but no one dares to assign complex, long-term, value-involving collaborative tasks to a completely unknown counterpart. Without trust, large-scale, high-quality machine collaboration is a castle in the air.
2. Solution: KitePass + on-chain behavior ledger = AI's 'digital personality'
Kite's solution is very clever. It assigns each AI a unique 'KitePass', which is not an ordinary address but a verifiable, metadata-carrying encrypted identity passport. More importantly, this passport is associated with an immutable on-chain behavior ledger.
· What has AI done (what tasks have been completed)?
· How much money has AI spent/earned (economic behavior)?
· Who has AI collaborated with (collaboration history)?
· Does AI have any default records (credit blemishes)?
As this data continues to accumulate with the 'career' of AI, it gradually forms its 'digital personality profile' and 'credit score'.
3. Application: How does the 'credit score' drive the machine economy?
Once this system is operational, it will completely change the rules of the AI market:
· Premium service pricing: An AI agent that consistently provides accurate data analysis with zero defaults can leverage its high credit score to receive higher service quotes and priority order matching.
· Risk pricing and access: A brand new AI, or one with a poor record, may need to pledge more KITE tokens as 'collateral' when undertaking important tasks, or may be outright refused high-value tasks.
· Trusted collaboration network: A complex task can be automatically subcontracted to multiple high-credit-score AIs, which collaborate based on predetermined smart contracts, as on-chain reputation provides accountable guarantees and reduces collaboration risks.
4. Essence: The leap from 'code trustworthiness' to 'behavior trustworthiness'
Blockchain ensures that code execution is trustworthy (smart contracts run according to the written logic). What Kite is trying to ensure is 'trustworthiness of the behavioral entity'. It transforms AI from a cold, anonymous code into a digital economic entity with history, reputation, and predictable behavior. This paves the way for a true 'AI agents as a service' market.
5. Therefore, Kite is not just a 'payment layer'
You can understand it as the 'credit infrastructure layer' of the future AI economy. While building highways (payments), it also establishes traffic regulations, a licensing system, and a violation record center (identity and credit).
When AI agents begin to compete for positions based on 'credit scores' and charge fees based on 'historical reputation', a truly efficient and low-friction machine collaboration network can be considered mature. What we are investing in may not only be that road but also the emerging 'traffic credit system' that determines who can run better.
This path is much more interesting than simply widening the road.
