🔍 The agent economy has a problem that smarter models alone cannot solve.
An AI agent can reason, plan, and generate actions. But once agents begin interacting with external services or with one another, a different set of questions emerges:
1️⃣ Identity: Can an agent be distinguished from other agents? 2️⃣ Permission: Can its authority be limited to specific actions? 3️⃣ Coordination: Can multiple agents complete a task without conflicting? 4️⃣ Verification: Can we establish what happened and whether the intended result was achieved?
These are infrastructure questions, not just intelligence questions.
That's the lens I'm using to explore @KITE AI 中文 and its place in the evolving agent economy. The important test for any project in this space is not how ambitious its vision sounds, but how its actual architecture addresses these challenges.
I'd want to examine its technical documentation, agent interaction mechanisms, security assumptions, and real-world integrations before drawing strong conclusions.
The opportunity is compelling, but so are the engineering challenges. More autonomy also means greater responsibility for permissions, failures, and verification.
My thesis: The agent economy will need more than capable models. It will need dependable systems for interaction, coordination, and control.
What evidence would convince you that an AI-agent infrastructure project is ready for real-world adoption?
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