DIGITAL LEGACY · MEMORY · STEWARDSHIP

What becomes of your digital self after you’re gone?

AfterTwin explores the future of personal AI after death — how memories, voice, values and decades of accumulated context might be preserved, governed, inherited or respectfully retired.

The concept

AfterTwin

As personal AI becomes intimate and long-lived, digital legacy may become a normal part of estate planning, family history and memory preservation.

Legacy

Preserve stories, knowledge and memories for future generations.

Consent

Respect the wishes expressed by the person while alive.

Stewardship

Define who may access, manage or retire the digital twin.

Continuity

Preserve memory without confusing a digital representation with the person.

A lifetime of digital memory deserves thoughtful stewardship.
Long-horizon thesis

Built for what comes after today’s AI.

As personal AI becomes intimate and long-lived, digital legacy may become a normal part of estate planning, family history and memory preservation.

Independent concept initiative exploring possible future human–AI systems. This site does not claim to represent an established standard, regulated credential, government program or currently deployed platform.

Human-AI Person Stack · Framework v0.1

AfterTwin

The stewardship rules for personal AI representations, memories, access rights and delegated functions when the represented person dies, becomes permanently incapacitated or intentionally retires the system.

Why this concept exists

A persistent personal AI may accumulate years or decades of memories, preferences, relationships and delegated capabilities. AfterTwin addresses what should be preserved, deleted, transferred, restricted or shut down when the person can no longer manage the system directly.

Boundary

A preserved representation is not the deceased person, and preservation does not imply continued operation. Post-life access and behavior should follow explicit stewardship, consent and succession rules.

Role in the stack

AfterTwin is the lifecycle layer. It determines what happens to PersonTwin context, PersonPassport credentials, PersonProxy activity and TwinAuthority grants when ordinary personal governance ends.

Seven-layer framework

The Human-AI Person Stack

Representation, identity, portability, delegated action, authority, human involvement and lifecycle stewardship are treated as separate questions so that no one layer silently grants another.

Public Discussion Draft · 1 October 2026. The Human-AI Person Stack Project is an independent conceptual project originated and authored by Joe Primus Kayau. It is not an adopted technical, legal or industry standard. External research and standards are acknowledged in the full framework paper; references do not imply ownership, endorsement or affiliation.
Domain acquisition · strategic partnerships

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