Kaito price

I can't roll it, I give up, and since I can't make the list, I won't roll Continue to focus on projects that I think have potential @brevis_zk and @GoKiteAI will undoubtedly be the next focus @brevis_zk is the only privacy track project that has been praised by V God, and with the recent $ZEC explosion, there is no doubt that the privacy track is entering the world of capital A paradigm shift 🔄 from "black box automation" to "transparent verifiable" Recently, when researching the KiteAI x Brevis collaboration, a question suddenly came to mind: Why hasn't the AI agent economy really exploded? ➢➢ The answer is simple: trust questions 🔵 Current situation analysis: the "trust black hole" 🕳️ of AI agents Imagine this scenario: You ask an AI agent to help you manage a 1 million portfolio, and it says it makes you 20%, but you have no idea: ☞ Is it really performing as per the strategy? ☞ Was there a hack in the middle? ☞ Is the distribution of revenue fair and transparent? ☞ If you lose, who is responsible? This is the fundamental reason why the AI agent economy is still in the concept stage, despite the maturity of AI technology 🔵KiteAI x Brevis' "trusted closed loop" 🔐 The core value of this cooperation is not simply a technical show, but a complete closed loop of trust: 1. Identity Layer (KiteAI Agent Passport) Each AI agent has an encrypted identity Programmable permissions and restrictions Reputation accumulation across platforms Transparent behavioral records 2. Verification layer (Brevis ZK proof) Proof of execution at the math level Privacy-preserving results validation Real-time performance monitoring Automate audit trajectories 3. Settlement layer (stablecoin micropayments) Millisecond fund settlement Programmable splitting rules Extremely low transaction costs Cross-chain interoperability 🔵 In-depth interpretation of the four-stage implementation plan: 📋 Phase 1: ZK-SLA verification This is the most critical first step. Imagine you hire an AI agent for customer service, with an SLA agreeing on a 99.9% online rate and <5 seconds response time. Brevis' ZK proofs can verify these metrics in real-time without exposing specific customer service conversations Phase 2: ZK-Passport identity system Establish an "ID card" system for AI agents. Just as humans need ID cards to open bank accounts, AI agents need verifiable identities to participate in economic activities Phase 3: ZK aggregate micropayments to solve the cost problem of high-frequency micropayments. Collaboration between AI agents can involve billions of microtransactions, a scale that traditional blockchains simply can't handle Phase 4: Cross-Ecosystem Deployment The ultimate goal is to enable all AI agents to run on this infrastructure, whether they are from OpenAI, Google, or other platforms This may be the best opportunity 🚀 for our generation to be part of the next wave of technology #kiteAI #kite #Brevis #KAITO