The next stop of digital identity 🌐

Imagine this: when an AI system runs on infrastructure like NEAR, supported by the computing power of RENDER, it could generate trillions of machine-driven transactions every day.

At this point, the question arises - how do you know who you are interacting with? Is it a real person or an AI agent? Is it reliable?

AI agents need a new identification system. It should not just be login credentials, but a complete profile that can prove "who I am", "what I have done", and "how others evaluate me".

Intuition is doing this. They are redefining digital identity with a decentralized knowledge graph - every statement, every interaction, and every preference record belongs to the user, and can also be monetized.

Your identification becomes verifiable and portable. You can use it wherever you go, and AI assistants can understand you based on this certified real data.

More importantly, it's not just people who have identification; AI systems can also have reputation profiles. How are these profiles created? Community experience ratings, transparent evidence support, and the accumulation of trust relationships.

What Intuition wants to do is to return control to users while building a globally universal reputation infrastructure that is interoperable, programmable, and composable.

As machines begin to participate in economic activities on a large scale, the reconstruction of the identification layer may be more urgent than we imagine.