When AI agents are responsible for completing critical operations such as payments and financial management, reliability becomes the biggest concern. Kite's idea addresses the core issue—rather than having AI imitate human behavior, it's better to expose every step to the sunlight, making it traceable and rule-based.

What’s interesting about this approach is that it directly opens the door for AI to enter regulated financial and commercial sectors. Practical technical architecture design makes seemingly complex problems manageable.

What does the list of backers tell us? Strategic investments from giants like PayPal and Samsung are not just endorsements; they have already integrated Kite's technology into their actual business systems. This is not just proof of concept but real ecosystem expansion.

On the technical side, it’s also fascinating. Kite creates a unique verifiable identity for each AI agent, with permissions and budget rules directly written into the chain. Every operation can be tracked and audited—trust is no longer just a verbal promise but guaranteed by code.

Testnet data speaks volumes—handling hundreds of millions of interactions, the developer enthusiasm reflects genuine engagement. An active developer community is key to a project’s long-term success.

It’s worth noting that Kite’s modular architecture allows developers to assemble AI applications freely like building blocks. This flexibility accelerates innovation cycles and the architecture is fully designed for large-scale commercial scenarios.

Looking ahead to a future where AI becomes increasingly pervasive, the infrastructure that quietly ensures trusted execution environments at the foundational level will become even more valuable. Projects like Kite are likely to become an indispensable part of the machine economy era.