Continuity Verification Becomes Programmable

The internet has protocols for identity, data, and value. It has never had a protocol for continuity — the property that a digital subject is the same physically embodied entity across time.

Today, that changes.

npm install @thecontinuitylab/myshape

import { verifyContinuity } from "@thecontinuitylab/myshape";

const result = await verifyContinuity({
  imuSamples: deviceMotionEvents,
  cameraSamples: videoMotionFrames,
});
// → { verdict, confidence, evidence }

One function. Sensor data in → verification result out.

Why Continuity Matters Now

AI systems can now generate identities, conversations, images, and actions at scale. The next trust problem is no longer "is this information authentic?" — it is "is this entity continuous?"

• AI agents — was the agent at T₂ hijacked from the agent at T₁?
• Decentralized governance — is the entity voting now the same entity that voted before?
• Remote systems — is the operator the same entity throughout the session?

What This Is — and What It Is Not

verifyContinuity() introduces a new verification primitive: continuity verification. It answers a question no other API asks: "Are you still the same entity, continuously, across time?"

How It Works

Built On

• 576 controlled experimental runs across 4 independent evidence engines
• 2 open RFC specifications (Motion Signature Format, Continuity Proof Format)
• 121 automated tests in the reference implementation
• MIT License — use it, build on it, challenge it

What's Next