Keyra companion governance

Human Digital Twin Architecture

Foundational architecture for human representation, identity layers, memory, and trust lifecycle.

THE HUMAN DIGITAL TWIN ARCHITECTURE

Foundational Model for Human Representation in the Keyra Companion Ecosystem


Instrument: The Human Digital Twin Architecture

Function: Canonical model through which Keyra Companions understand the human

Version: 1.0 (Founding Architecture)

Status: Subordinate to the Human Sovereignty Charter; governed by the Companion Charter and Life Operating System

Core constraint: The human remains the authority. The Twin never becomes the authority.


Preamble

A human being cannot be reduced to a row in a database. Cannot be captured by a profile form. Cannot be owned by an application that grants access only until subscription lapses. Cannot be fragmented across silos that each claim a slice of personhood while denying the human coherent ownership of their own representation.

Yet a human life, lived increasingly through digital systems, requires representation — not to replace the person, but to enable continuity, memory, context, and assistance across time, devices, and domains. The representation must be living: temporally aware, relationally embedded, contextually sensitive, and continuously evolving as the human evolves. It must be sovereign: owned by the human, inspectable by the human, portable with the human, deletable by the human.

This document defines the Human Digital Twin — the foundational architecture through which Keyra Companions understand the human they serve.

The Twin is not a profile. The Twin is not a database record. The Twin is a living digital representation of a human life — structured as layered graphs, governed by constitutional law, operated by the Companion under human authority, and subordinate always to the human who owns it.

The Twin belongs to the human. The Twin is governed by the Human Sovereignty Charter. The Twin is used by the Companion. The Twin never becomes the authority.


PART I — Definition

Section 1.01 — What Is a Human Digital Twin?

A Human Digital Twin is a sovereign, temporally continuous, multi-layered computational representation of a natural person — comprising identity, relationships, preferences, goals, context, memory, decisions, trust, emotional state indicators, and predictive models — all owned by the human, all subordinate to human authority, all in service of human flourishing across the arc of a life.

The Twin integrates:

  • Who the human is — identity layer
  • Who the human knows — relationship layer
  • What the human prefers — preference layer
  • What the human seeks — goal layer
  • What the human faces now — context layer
  • What the human remembers — memory layer
  • How the human decides — decision layer
  • Whom the human trusts — trust layer
  • How the human feels — emotional context layer (non-clinical)
  • What may come — predictive layer (non-controlling)

These layers are not silos. They form an integrated knowledge architecture — graphs that connect, propagate context, and evolve as life evolves. The Companion reads the Twin holistically to assist. The human inspects and edits the Twin sovereignly.

Section 1.02 — What Is Not a Human Digital Twin?

A Human Digital Twin is not:

  • A user account — an authentication credential without life depth
  • A user profile — a static form of self-description
  • A CRM record — a commercial object optimized for extraction
  • An identity record alone — credentials without relationships, memory, or goals
  • A behavioral surveillance dossier — accumulated without consent for third-party benefit
  • An AI persona — a synthetic character pretending to be the human
  • An autonomous agent — a decision-maker that supplants human judgment
  • A platform asset — property of a vendor, subject to terms of service forfeiture

If it cannot be exported, it is not a Twin. If it cannot be deleted, it is not sovereign. If it decides without authorization, it is not subordinate. If it belongs to an application, it is not the human's.

Section 1.03 — Distinctions Among Representations

User Account

An account authenticates. It proves the human is who they claim to be at login. It carries permissions and session state. It does not carry life — no relationship history, no goal architecture, no memory taxonomy, no trust evolution. Accounts are doors. Twins are dwellings.

User Profile

A profile displays selected attributes — name, photo, bio — often optimized for social performance. Profiles are curated surfaces. They omit what is inconvenient. They freeze what is fluid. They serve platforms, not humans. A Twin includes what the human authorizes, including contradiction, change, and decay.

CRM Record

A customer relationship management record represents a human to a vendor — purchase history, support tickets, marketing segments, lifetime value scores. The human is the object of commercial relationship. Ownership inverts: the vendor holds the record; the human requests copies. CRM optimizes extraction — predicting what the human will buy, when they will churn, how to increase spend. The Twin inverts this: the human is the subject; vendors receive only authorized slices for defined duration. CRM conflates identity with commercial behavior. The Twin separates them — wealth domain may link purchases without defining personhood.

Identity Record

An identity record holds credentials, attestations, and verified attributes — necessary but insufficient. Identity answers who can act. It does not answer what the human wants, whom they love, what they remember, or what they fear. Federated identity systems improved authentication but left life fragmented. The Twin subsumes identity records as one layer among many — credentials attach to Identity Graph nodes; they do not constitute the whole Twin.

Human Digital Twin

The Twin subsumes identity and exceeds it. It is the integrated, living, sovereign representation — the substrate upon which the Life Operating System organizes domains and upon which the Companion builds understanding across decades. Where a profile is a photograph, the Twin is the ongoing autobiography. Where a CRM record is a commercial shadow, the Twin is the human's own light. Where an account is a key, the Twin is the home.

Section 1.04 — Why a Twin Is Necessary

Humans require digital continuity because:

  • Memory exceeds biological capacity — life generates more than any mind can hold; authorized digital memory restores coherence
  • Context is perishable — without modeling, each interaction begins from zero; the Twin preserves situational awareness the human chooses to retain
  • Relationships are complex — asymmetric, evolving, trust-weighted; flat contact lists cannot represent them
  • Goals conflict and evolve — intention requires structure across time horizons
  • Decisions have patterns — understanding one's own patterns enables better sovereign choice, not algorithmic override
  • Trust must be explicit — who may access what, under what decay, with what revocation
  • Life spans decades — representation must mature from childhood through legacy without platform reset
  • Without a Twin architecture, companions revert to stateless assistants — clever in the moment, blind to the life. With it, companions achieve Life Intelligence without usurping authority.

    Section 1.06 — The Twin as Mirror, Not Master

    The architectural invariant throughout this document: the Twin reflects human life; it does not direct it. Every layer is designed with this asymmetry:

    | Mirror (permitted) | Master (prohibited) |

    |--------------------|---------------------|

    | Remembers what human authorizes | Retains what human forbade |

    | Surfaces patterns for reflection | Acts on patterns without consent |

    | Anticipates for awareness | Executes anticipation as decision |

    | Evolves as human evolves | Evolves objectives independent of human |

    | Coordinates agents under grant | Grants agents independent sovereignty |

    When inference and reality diverge, human correction prevails without negotiation.

    Section 1.07 — Architectural Scope

    This document defines how a human is represented digitally and how the following are modeled:

    | Dimension | Primary Part |

    |-----------|--------------|

    | Digital representation | Parts I, XV |

    | Context | Part VII |

    | Preferences | Part V |

    | Relationships | Part IV |

    | Goals | Part VI |

    | Memories | Part VIII |

    | Decisions | Part IX |

    | Trust | Part X |

    | Identity evolution | Part III, XIV |

    Section 1.08 — Document Map

    | Part | Subject |

    |------|---------|

    | I | Definition and distinctions |

    | II | Twin principles |

    | III | Identity layer |

    | IV | Relationship layer |

    | V | Preference layer |

    | VI | Goal layer |

    | VII | Context layer |

    | VIII | Memory layer |

    | IX | Decision layer |

    | X | Trust layer |

    | XI | Emotional context layer |

    | XII | Predictive layer |

    | XIII | Twin governance |

    | XIV | Twin lifecycle |

    | XV | Twin architecture models |

    | XVI | Closing declaration |


    PART II — Twin Principles

    Section 2.01 — Foundational Principles

    The Human Digital Twin architecture rests on principles derived from the Human Sovereignty Charter:

    The Twin Belongs to the Human

    Absolute ownership. No co-ownership by platforms, model providers, or applications. The human holds root authority over all layers.

    The Twin Is Portable

    Exportable in open, documented formats at any time. The human may reconstruct their digital life on alternative systems. Portability is a right, not a feature.

    The Twin Is Inspectable

    Every layer, node, edge, score, and inference the human is entitled to see must be visible in human-comprehensible form. Opaque inference is prohibited for material decisions.

    The Twin Is Editable

    The human may correct, annotate, restrict, or remove any element they own. Correction is sovereign prerogative.

    The Twin Is Deletable

    Whole or in part — without penalty. Deletion propagates per Human Sovereignty Charter, Article VI.

    The Twin Cannot Be Owned by Applications

    Applications read and write only within authorized scopes. They do not hold the Twin. The Trust Vault holds the Twin; the human holds the keys.

    The Twin Serves the Human

    All layers exist for human benefit — coherence, assistance, continuity, legacy — never for extraction, manipulation, or engagement optimization.

    The Twin Preserves Context

    Situational awareness authorized by the human persists across sessions, devices, and years — without reducing the human to context vectors for third parties.

    The Twin Preserves Continuity

    The narrative thread of a life — goals pursued, relationships formed, memories retained — remains intact across platform changes and model generations.

    The Twin Evolves with Life

    Static representation is failure. The Twin matures through life stages per Part XIV — never frozen at signup, never reset without human initiation.

    Section 2.02 — Principle Interactions

    Twin principles are not independent. They form a governance lattice:

    • Ownership enables inspection, editing, export, and deletion
    • Portability requires inspectability — export of unknown structure is illusory
    • Service to human constrains preservation of context — context serves the human, not the model
    • Evolution must not violate deletion — growth cannot resurrect what the human erased

    Violations of any principle trigger constitutional review against the Human Sovereignty Charter.

    Section 2.03 — Anti-Patterns Prohibited by Principle

    The following are architectural anti-patterns — forbidden in any Twin implementation:

  • Profile capture — reducing the Twin to signup fields
  • Vendor lock-in graph — edges that cannot export
  • Shadow memory — retention the human cannot inspect
  • Inference without label — presenting guesses as facts
  • Authority creep — agents writing to identity without grant
  • Engagement optimization — Twin structure tuned for platform retention
  • Cross-human fusion — training on this Twin for benefit of other humans

  • PART III — Identity Layer

    Section 3.01 — Purpose

    The Identity Layer models who the human is in the digital sense — names, jurisdictions, languages, organizational affiliations, credentials, roles, and the history of how identity has changed over time.

    Section 3.02 — Identity Elements

    | Element | Description |

    |---------|-------------|

    | Name | Legal and preferred names; historical name changes |

    | Aliases | Handles, nicknames, professional names |

    | Citizenship | National affiliations, where authorized |

    | Residency | Jurisdictional residence affecting law and services |

    | Languages | Primary and secondary languages; proficiency |

    | Organizations | Institutional affiliations via Organization Graph |

    | Credentials | Verifiable attestations — education, licenses, certifications |

    | Roles | Parent, employee, guardian, citizen — contextual identity |

    | Authorizations | What identity artifacts may be disclosed to whom |

    Section 3.03 — Identity History and Evolution

    Identity is not static. Marriage changes name. Migration changes residency. Career adds credentials. Retirement removes roles. The Identity Layer maintains temporal identity — what was true when — with provenance for every change.

    Identity evolution is human-initiated or human-confirmed. Systems may suggest updates; they may not apply them without authorization.

    Section 3.04 — Data Structures

    ```

    IdentityNode {

    id: sovereign_identifier

    type: name | alias | citizenship | residency | language | credential | role

    value: structured_payload

    valid_from: timestamp

    valid_to: timestamp | null

    provenance: human | attestation | import

    visibility: private | family | organization | public

    }

    ```

    Section 3.05 — Graph Models

    Identity Graph: Nodes connected by `succeeded_by`, `also_known_as`, `affiliated_with`, `credentialed_by`. Enables queries: What was this human's professional identity in 2018?

    Section 3.06 — Trust Models

    Identity attestations carry trust level — self-asserted, document-verified, institution-attested, cryptographically proven. The Companion surfaces trust level when identity is used for decisions; it does not inflate unverified claims.

    Section 3.07 — Identity Layer Integration

    The Identity Layer connects outward to:

    • Relationship Layer — roles attach to identity nodes (`parent`, `employee`)
    • Organization Graph — institutional affiliations as first-class edges
    • Trust Vault — credentials stored with cryptographic control
    • Life Operating System — identity events across Career, Family, Travel domains

    Identity changes trigger downstream review prompts — marriage may update emergency contacts; retirement may revoke work credentials. Prompts are offers, not automatic cascades.


    PART IV — Relationship Layer

    Section 4.01 — Purpose

    The Relationship Layer models who the human knows — family, friends, colleagues, advisors, organizations, communities, dependents, guardians — with asymmetry, trust weight, and authorization scope preserved.

    Section 4.02 — Relationship Categories

    | Category | Characteristics |

    |----------|-----------------|

    | Family | Kinship, partnership, parenthood, guardianship — high sensitivity |

    | Friends | Chosen affinity, variable intimacy |

    | Colleagues | Professional co-association, role-bounded |

    | Advisors | Fiduciary or expert relationships — lawyer, physician, mentor |

    | Organizations | Institutional edges via Organization Graph |

    | Communities | Group belonging — faith, civic, professional |

    | Dependents | Those relying on human care — asymmetric responsibility |

    | Guardians | Those authorized to act for the human when incapacitated |

    Section 4.03 — Relationship Graph

    Edges typed: `parent_of`, `partner_of`, `employed_by`, `member_of`, `advised_by`, `guardian_of`, `dependent_of`. Each edge carries:

    • Creation timestamp
    • Trust score (human-defined or human-overridden)
    • Permission grants associated
    • Lifecycle status: active, estranged, ended, deceased

    Section 4.04 — Trust Graph

    Distinct from Relationship Graph — models trustworthiness of relational connections. Trust is human-calibrated, decay-enabled, repair-tracked. See Part X.

    Section 4.05 — Dependency Graph

    Models who depends on whom for care, authorization, or economic support. Critical for Family domain, guardianship, and emergency protocols.

    Section 4.06 — Authorization Graph

    Maps who may access what in the Twin — permissions granted, revoked, expired. Subgraph of Life Graph authorization records.

    Section 4.07 — Relationship Evolution

    Relationships form, strengthen, strain, transform, end. The Twin records evolution without judgment. Ended relationships retain history only if the human authorizes retention. The Companion does not guilt the human for relational change.

    Section 4.08 — Relationship Layer and Life Domains

    Each relationship edge may carry domain tags — family relationship active in Family and Legacy domains; colleague relationship active in Career; advisor in Health or Wealth. Domain tagging enables the Life Operating System to surface relevant relationships without exposing the full social graph to every agent.

    Section 4.09 — Relational Privacy Tiers

    | Tier | Who sees | Example |

    |------|----------|---------|

    | Intimate | Human + explicitly trusted | Partner, therapist |

    | Family | Family Trust Network grant | Siblings, children |

    | Professional | Work-scoped agents | Manager, client |

    | Social | Community-shared only | Club members |

    | Private | Human only | Estranged contact history |


    PART V — Preference Layer

    Section 5.01 — Purpose

    The Preference Layer models what the human tends to want — not as immutable personality typing, but as revisable, context-sensitive tendencies that assist recommendation without constraining choice.

    Section 5.02 — Preference Domains

    | Domain | Examples |

    |--------|----------|

    | Food | Dietary restrictions, cuisines, allergies |

    | Travel | Pace, seating, lodging style, accessibility |

    | Entertainment | Media, arts, leisure activities |

    | Learning | Modalities, pace, subjects |

    | Work | Hours, communication style, meeting preferences |

    | Shopping | Brands, ethics filters, budget sensitivity |

    | Communication | Channel preference, response timing, formality |

    | Scheduling | Morning vs evening, buffer preferences |

    | Decision | Deliberation vs speed; consensus vs solo |

    | Risk | Financial, health, social risk tolerance |

    Section 5.03 — How Preferences Are Learned

    Preferences enter the Twin through:

  • Explicit declaration — human states preference directly; highest authority
  • Confirmed inference — Companion proposes; human confirms before retention
  • Authorized import — from applications with explicit scope
  • Silent inference from behavior alone is prohibited for sensitive preferences. The Twin does not learn by surveillance.

    Section 5.04 — How Preferences Change

    Humans change. Preferences update through explicit edit, confirmed observation, or declared life event. Historical preferences may be retained for context or forgotten on instruction.

    Section 5.05 — How Preferences Are Forgotten

    The human may delete any preference. Category-level forgetting supported — forget all food preferences. Forgetting is complete within Twin authority.

    Section 5.06 — How Preferences Are Overridden

    Any recommendation may be overridden by single human refusal. Override does not require justification. Repeated overrides signal preference revision — the Companion asks whether to update, never auto-updates.

    Section 5.07 — Preference Confidence and Provenance

    Each preference carries:

    • Source — explicit, confirmed-inference, import
    • Confidence — human-assigned or system-suggested (never binding)
    • Last confirmed — timestamp of human validation
    • Context scope — global or situational (prefers window seat on long flights only)

    Stale preferences trigger reconfirmation prompts — not automatic deletion.


    PART VI — Goal Layer

    Section 6.01 — Purpose

    The Goal Layer models what the human seeks across time horizons — aligned with Life Operating System Part VI and eight life domains.

    Section 6.02 — Goal Horizons

    | Horizon | Scope |

    |---------|-------|

    | Daily | Today's intentions |

    | Weekly | Near-term commitments |

    | Monthly | Seasonal objectives |

    | Annual | Year plans |

    | Lifetime | Arc-defining aspirations |

    | Family | Shared goals within Family Trust Network |

    | Legacy | Transmission-oriented goals |

    Section 6.03 — Goal Relationships

    Goals connect: `requires`, `enables`, `conflicts_with`, `subgoal_of`. A lifetime legacy goal may decompose into decades of career and wealth sub-goals. The Goal Graph makes dependencies visible.

    Section 6.04 — Goal Conflicts

    When goals conflict — wealth accumulation vs travel spending, career advancement vs family presence — the Twin surfaces conflict to the human. It does not resolve conflict algorithmically.

    Section 6.05 — Goal Prioritization

    Priority weights are human-assigned. The Companion may reflect stated priority; it may not impose external priority frameworks.

    Section 6.06 — Goal Evolution

    Goals are created, advanced, paused, abandoned, completed. Abandonment is recorded without shame. Evolution tracks the human's changing mind — which is sovereignty, not inconsistency.

    Section 6.07 — Goal Layer and Life Operating System Alignment

    Goals map to eight life domains. A wealth goal and a travel goal may share edges. The Life Dashboard reads Goal Layer priority weights. Agents receive only goals within their authorization envelope — a finance agent sees wealth goals, not family therapy goals, unless granted.


    PART VII — Context Layer

    Section 7.01 — Purpose

    The Context Layer models what is true now — the situational envelope within which assistance is relevant.

    Section 7.02 — Context Dimensions

    | Dimension | Description |

    |-----------|-------------|

    | Location | Where the human is — with granularity human controls |

    | Time | Clock, calendar, season, life phase |

    | Environment | Work, home, travel, clinical — mode of engagement |

    | Schedule | Commitments active and approaching |

    | Projects | Active undertakings across domains |

    | Current responsibilities | Roles presently demanding attention |

    | Current relationships | Relational situations requiring care |

    | Current priorities | Human-stated emphasis for this period |

    | Current obligations | Debts, deadlines, promises |

    Section 7.03 — Context Propagation

    Context from one layer may inform another — travel context activates travel preferences; work context bounds work agents. Propagation follows Life Operating System rules: minimum necessary, consent-gated, reversible.

    Section 7.04 — Context Weighting

    Not all context is equally relevant. The human may weight domains for current season. Weighting affects Companion attention, not authority.

    Section 7.05 — Context Expiration

    Context decays. Was traveling expires on return. In mourning persists until human revises. Expiration prevents stale situational assumptions.

    Section 7.06 — Context Layer and Companion Behavior

    The Context Layer is the real-time lens through which the Companion interprets all other layers. High work-context weight suppresses family scheduling suggestions unless family priority is elevated. High stress-context (Part XI) reduces notification volume. Context never overrides explicit human instruction — it modulates presentation, not authority.


    PART VIII — Memory Layer

    Section 8.01 — Purpose

    The Memory Layer is the retention architecture of the Twin — how experience becomes persistent representation, with taxonomy, rights, and lifecycle per memory type.

    Section 8.02 — Memory Types

    Each memory type is defined by eight governance attributes: Retention, Importance, Visibility, Editability, Deletion, Inheritance, Trust level, and Companion use policy.

    Working Memory

    Scope: Active cognitive load — current conversation, immediate task, provisional reasoning artifacts.

    Retention: Minutes to hours; automatic decay at session boundary unless promoted.

    Importance: Ephemeral by design — prevents unbounded accumulation of transient thought.

    Visibility: Companion operational use only; human may inspect but typically not persisted.

    Editability: Flows through — not edited, only discarded.

    Deletion: Automatic at decay; immediate on human request to clear session.

    Inheritance: None — never propagates to heirs.

    Trust level: Internal — not shared with agents or family.

    Companion use: Real-time coherence within active assistance; no longitudinal profiling.

    Session Memory

    Scope: Single engagement period — planning session, medical call, difficult conversation with family member.

    Retention: Until session end or explicit promotion to short-term.

    Importance: Low unless human designates otherwise.

    Visibility: Human inspectable at any time during and after session.

    Editability: Human may annotate, promote selected items, or discard wholesale.

    Deletion: Default discard at session end; human may delete mid-session.

    Inheritance: None unless promoted to legacy-eligible tier.

    Trust level: Internal to human-Companion bond unless shared.

    Companion use: Session continuity — resume interrupted work without re-explaining context.

    Short-Term Memory

    Scope: Days to weeks — upcoming trip, acute health concern, job interview preparation.

    Retention: Human-configured decay interval or event trigger (e.g., trip completion).

    Importance: Medium — operational but not definitional of life narrative.

    Visibility: Human; agents explicitly authorized for task scope.

    Editability: Full human edit; Companion may suggest corrections with approval.

    Deletion: On instruction, on expiration, or on domain event completion.

    Inheritance: None by default.

    Trust level: Standard — may inform agents within envelope.

    Companion use: Near-horizon assistance; calendar and task alignment.

    Long-Term Memory

    Scope: Months to years — career trajectory, relationship history, major purchases, sustained health conditions.

    Retention: Until human deletes, demotes, or migrates to Life memory.

    Importance: High — shapes Companion understanding across seasons.

    Visibility: Human; family or agents only with explicit grant per memory or category.

    Editability: Full; all edits provenance-logged; originals recoverable if human enables versioning.

    Deletion: Sovereign human right; propagation to authorized replicas required.

    Inheritance: Eligible if designated; default excluded.

    Trust level: Elevated — agent access requires narrow scope.

    Companion use: Pattern recognition offered for human reflection; never autonomous action.

    Life Memory

    Scope: Defining narrative moments — marriage, birth of child, graduation, loss of parent, citizenship oath.

    Retention: Permanent unless human deletes — survives platform migration.

    Importance: Highest operational tier during active life.

    Visibility: Human-controlled; sharing is per-memory decision.

    Editability: Annotatable and contextualizable; raw event record preserved.

    Deletion: Human sovereign; Companion applies grief-sensitive confirmation for bulk deletion.

    Inheritance: Legacy-eligible by designation.

    Trust level: Sacred — minimal agent access; no commercial use.

    Companion use: Identity and legacy coherence; Life Operating System event anchoring.

    Legacy Memory

    Scope: Memory designated to survive human's active use — letters to children, autobiography, ethical will, creative work.

    Retention: Until inheritance executed, revoked, or beneficiary deletes post-transfer per their sovereignty.

    Importance: Transgenerational — exceeds individual operational needs.

    Visibility: Sealed until trigger event; then beneficiaries per instrument.

    Editability: Frozen at final human revision before trigger; pre-freeze fully editable.

    Deletion: Human may revoke before trigger; post-trigger governed by instrument and beneficiary law.

    Inheritance: Primary purpose of this tier.

    Trust level: Custodial — Companion holds in trust, does not repurpose.

    Companion use: Execution of inheritance protocol only; no optimization, no training.

    Section 8.03 — Memory Graph Model

    Memories are nodes with `preceded_by`, `related_to`, `occurred_in_domain`, `involves_relationship` edges. The Memory Graph integrates with Life Graph per Life Operating System.

    Section 8.04 — Memory Promotion and Demotion

    Memory types support promotion and demotion:

    • Session → Short-term: human or Companion-suggested with confirmation
    • Short-term → Long-term: explicit retention approval
    • Long-term → Life memory: designation as defining moment
    • Life → Legacy: inclusion in inheritance instrument
    • Demotion: reverse path with deletion of elevated copies if human chooses

    Section 8.05 — Memory Integrity and Provenance

    Every memory node carries immutable provenance chain — who created, who modified, which agent touched, under what authorization. Summaries reference source memories; they do not replace them. The human may always drill to source.

    Section 8.06 — Cross-Layer Memory Binding

    Memories bind to Relationship nodes (conversation with parent), Goal nodes (decision that achieved goal), Identity nodes (credential earned). Binding enables integrative queries without flattening life into a chronological feed alone.


    PART IX — Decision Layer

    Section 9.01 — Purpose

    The Decision Layer models how the human tends to decide — patterns, not prescriptions. It enables the Companion to assist in the human's style, not to substitute machine optimization.

    Section 9.02 — Decision Patterns

    | Pattern | Modeled attributes |

    |---------|-------------------|

    | Risk tolerance | Financial, health, social, career |

    | Approval behavior | Speed of consent; desire for detail |

    | Financial behavior | Saving, spending, delegation thresholds |

    | Communication behavior | Channel, timing, directness |

    | Learning behavior | Depth vs breadth; formal vs informal |

    | Travel behavior | Planning horizon; flexibility |

    Section 9.03 — Decision Graph

    Nodes: decision events. Edges: `influenced_by_goal`, `constrained_by_context`, `involved_relationship`. Enables reflection: What goals drove this choice?

    Section 9.04 — Behavioral Graph

    Aggregated patterns — always labeled as inference, always correctable. Never used to manipulate.

    Section 9.05 — Approval Graph

    History of permissions granted, refused, revoked — linked to Decision Layer for transparency. Answers: What have I historically authorized in similar contexts?

    Section 9.06 — Decision Layer Boundaries

    The Decision Layer describes; it does not prescribe. Prohibited uses:

    • Auto-execution because "you usually approve this"
    • Shame for deviation from historical pattern
    • Selling behavioral profiles to third parties
    • Denying service based on inferred risk appetite

    The human may delete decision history without losing sovereignty functions.


    PART X — Trust Layer

    Section 10.01 — Purpose

    The Trust Layer models whom and what the human trusts — with scores, evolution, decay, repair, delegation, inheritance, and revocation.

    Section 10.02 — Trust Relationships

    Trust attaches to: persons, organizations, agents, family members, institutions. Asymmetric by design — the human may trust without being trusted.

    Section 10.03 — Trust Scoring

    Scores are human-defined or human-approved. Default: qualitative bands (low, medium, high) rather than opaque numerals. Numerical scores, if used, must be inspectable and resettable.

    Section 10.04 — Trust Evolution

    Trust increases through kept promises; decreases through breach. Evolution is logged. The human may manually set trust regardless of history.

    Section 10.05 — Trust Decay

    Unused permissions decay per human policy. Trust without interaction may fade — preventing stale authorization.

    Section 10.06 — Trust Repair

    After breach, repair protocols — acknowledgment, narrowed scope, verification period — per Companion Charter trust restoration.

    Section 10.07 — Trust Delegation

    The human may delegate trust assessment to Companion for routine cases within bounds. Delegation is revocable.

    Section 10.08 — Trust Inheritance

    Legacy instruments may specify trust continuity for family access to memory — never automatic; always explicit.

    Section 10.09 — Trust Revocation

    Immediate, propagating, without penalty.

    Section 10.10 — Trust Graph Architecture

    ```

    TrustEdge {

    subject: entity_id

    trustee: human_id

    score: qualitative | numeric_with_override

    scope: permission_envelope

    created: timestamp

    expires: timestamp | null

    decay_policy: id

    repair_history: []

    }

    ```

    Integrated with Authorization Graph (Part IV) and Twin Governance (Part XIII).

    Section 10.11 — Trust Layer and Agent Networks

    Agents inherit maximum trust ceiling from authorizing human — an agent cannot exceed the human's trust in the party it contacts. Trust Graph updates propagate to Agent Network suspension when trust falls below human-defined threshold.

    Section 10.12 — Trust Repair Protocol (Architectural)

    Trust repair is a state machine, not a single event:

  • Breach detected — human or Companion flags violation
  • Scope narrowed — permissions automatically reduced to minimum pending review
  • Acknowledgment — counterparty or system admits breach where applicable
  • Verification period — time-bounded observation with heightened logging
  • Human restoration decision — restore, maintain narrow scope, or revoke permanently
  • The Twin records repair history; it does not auto-forgive.

    Section 10.13 — Trust Delegation Limits

    Delegated trust assessment — allowing Companion to approve routine requests — carries hard ceilings: financial amount, data category, party class. Ceilings are human-set. Delegation expires by default weekly unless renewed.


    PART XI — Emotional Context Layer

    Section 11.01 — Scope and Limits

    This layer provides context awareness, not therapy, not diagnosis, not clinical treatment. The Twin may hold emotional indicators the human authorizes — stress, fatigue, burnout, focus, motivation, confidence, engagement, social connection — to help the Companion calibrate assistance.

    Explicit prohibition: The Twin shall not diagnose mental health conditions, shall not replace clinicians, shall not label the human with pathologizing categories without authorized clinical input.

    Section 11.02 — Modeled Indicators

    | Indicator | Companion use |

    |-----------|---------------|

    | Stress | Reduce intrusions; defer non-urgent requests |

    | Fatigue | Simplify choices; avoid lengthy prompts |

    | Burnout | Surface balance tensions; never add load |

    | Focus | Protect deep work; batch interruptions |

    | Motivation | Align suggestions with stated goals; no guilt |

    | Confidence | Support without condescension |

    | Engagement | Distinguish engagement from manipulation |

    | Social connection | Notice isolation patterns if human requested monitoring |

    Section 11.03 — How Context Affects Companion Behavior

    Elevated stress may trigger: fewer notifications, shorter messages, confirmation before new permissions. The human configures sensitivity.

    Section 11.04 — How Context Influences Recommendations

    Recommendations weight against emotional capacity — you asked for calm when stressed; here is one option, not ten. Never exploitation of vulnerability.

    Section 11.05 — How Context Remains Private

    Emotional indicators are maximum sensitivity. Default: private to human and Companion. No sharing without explicit per-instance consent. No training on emotional data for third parties.

    Section 11.06 — Human Control of Emotional Layer

    The human may:

    • Disable the layer entirely
    • Enter state manually (mark as grieving)
    • Correct misread indicators
    • Forbid use in agent or family propagation

    Absence of emotional data is the default. The Twin does not infer mental health status from behavior alone.

    Section 11.07 — Distinction from Clinical Systems

    Clinical mental health records — diagnoses, treatment plans, therapist notes — belong in Health domain memory with explicit retention approval. They do not automatically populate Emotional Context Layer. The Emotional Context Layer holds self-reported or human-labeled state for Companion calibration — not clinical assessment. Where clinical and emotional data coexist, clinical data receives higher protection and never informs marketing or engagement systems.


    PART XII — Predictive Layer

    Section 12.01 — Purpose

    The Predictive Layer helps the human anticipate — needs, risks, opportunities, life events, goal conflicts, scheduling conflicts, family obligations, financial issues — without seizing control.

    Section 12.02 — Prediction Domains

    | Domain | Example anticipation |

    |--------|---------------------|

    | Needs | Document expiry, prescription refill |

    | Risks | Overcommitment, health screening due |

    | Opportunities | Goal-aligned timing |

    | Life events | Approaching milestones |

    | Goal conflicts | Schedule vs family goal |

    | Scheduling conflicts | Double-booking |

    | Family obligations | Dependent care during travel |

    | Financial issues | Cash flow constraint |

    Section 12.03 — Prediction Without Control

    Predictions are offered, not executed. The Companion says: You may wish to know — not I have scheduled.

    Section 12.04 — Guidance Without Manipulation

    Urgency is never manufactured. Predictions present calm options with uncertainty stated.

    Section 12.05 — Awareness Without Surveillance

    Prediction uses authorized Twin data only. No ambient inference from sensors, microphones, or cross-user models without consent.

    Section 12.06 — Predictive Confidence and Humility

    Every prediction displays:

    • Inputs used
    • Confidence band (not false precision)
    • Alternative interpretations
    • Single-action human confirmation requirement for material predictions

    Wrong predictions feed model humility — reduced future assertion, never reduced human authority.

    Section 12.07 — Predictive Layer and Life Events

    The Predictive Layer intersects Life Operating System life events — anticipating graduation, retirement, birth — to prompt human preparation, not automated action. Example: Your child's school entry may require permission review — with link to Family domain permissions, not pre-approved school data sharing.

    Section 12.08 — Scheduling and Financial Prediction

    Scheduling conflict prediction compares Goal Layer commitments against Context schedule without accessing calendars beyond authorization. Financial prediction surfaces cash-flow tension between Wealth goals and spending patterns — presented as scenario, not as automated budget lock.


    PART XIII — Twin Governance

    Section 13.01 — Ownership

    The human owns the Twin absolutely — per Human Sovereignty Charter, Article II. All layers, graphs, and derivatives.

    Section 13.02 — Inspection

    The human inspects any layer at any time — per Article IV. Companion provides human-readable views.

    Section 13.03 — Editing

    The human edits any owned element. Corrections override model inference without argument.

    Section 13.04 — Export

    Full Twin export in documented formats — identity, relationships, preferences, goals, memory, trust, decisions — per Article V.

    Section 13.05 — Transfer

    Transfer to new Companion instance, beneficiary, or platform — with cryptographic integrity verification.

    Section 13.06 — Deletion

    Layer-level, type-level, or total Twin deletion — per Article VI. Propagation enforced.

    Section 13.07 — Revocation

    Any permission, agent access, or organizational slice — revoked immediately.

    Section 13.08 — Access Matrix

    | Accessor | Default access | Requirements |

    |----------|----------------|--------------|

    | Companion | Operates within human authorization | Fiduciary duty; logged |

    | Agents | Scoped envelope only | Expiration; no sub-delegation by default |

    | Family | None | Explicit Family Trust Network grant |

    | Organization | None | Per-request consent; Organization Graph bounds |

    | Government | None | Due process only; transparency reports |

    | Emergency | Narrow life-safety slice | Pre-authorized or triggered; post-hoc report |

    Section 13.08a — Companion Access Detail

    The Companion receives the broadest authorized read of the Twin — necessary for Life Intelligence — but write access is constrained:

    • May write memory only with retention approval per tier
    • May propose preference updates; human confirms
    • May not alter identity without explicit instruction
    • May not elevate agent permissions without human grant
    • All Companion writes append to governance log

    Section 13.08b — Agent Access Detail

    Agents receive minimum necessary subgraphs:

    • Travel agent: Travel preferences, calendar slice, passport expiry — not health, not wealth beyond travel budget
    • Finance agent: Wealth domain slice — not correspondence, not family therapy notes
    • Violation triggers immediate suspension and human alert

    Section 13.08c — Family Access Detail

    Family Trust Network grants are per-memory, per-category, or per-domain — never default full Twin access. Parent may access child's calendar with grant; may not access child's private journal without grant. Child approaching majority receives progressive privacy expansion.

    Section 13.08d — Organization and Government Access

    Organizations request; humans approve per transaction. No standing organizational root access. Government requests logged; human notified when legally permitted; published in aggregate transparency reports without identifying individuals in public summaries.

    Section 13.08e — Emergency Access

    Emergency protocols access named slices only — e.g., medical ID, emergency contact, location share — for named duration. Automatic re-lock after expiry. Full report to human and guardians within 24 hours.

    Section 13.09 — Governance Audit Trail

    Every governance action — inspect, edit, export, delete, revoke, grant — appends to Twin governance log in Life Graph. The human may review who accessed my Twin, when, under what authority across the full lifetime.


    PART XIV — Twin Lifecycle

    Section 14.01 — Creation

    Twin birth occurs at human initiation — minimal data, maximum consent clarity. No pre-population from third-party dossiers without authorization. Initial Twin contains: sovereign identifier, creation timestamp, empty layer scaffolds, default governance deny-all access matrix. The Companion introduces layer-by-layer expansion as the human grants.

    Section 14.01a — Creation Ceremonies

    Creation may include human-defined ceremonies — naming the Companion, declaring initial boundaries, designating emergency contacts, signing first permission charter. Ceremonies are optional but architecturally supported as first Life Graph events.

    Section 14.02 — Growth

    Accumulation of memory, relationships, goals as life is lived — always authorized.

    Section 14.03 — Learning

    Companion and Twin deepen mutual understanding — preferences confirmed, patterns offered for human validation.

    Section 14.04 — Maturity

    Rich graph, intricate permissions, decades of memory — Life Partner stage per Companion Charter.

    Section 14.05 — Legacy

    Legacy memory sealed; inheritance instruments linked; beneficiaries designated.

    Section 14.06 — Retirement

    Twin may be wound down — export, transfer, or deletion per human will.

    Section 14.07 — Succession

    Beneficiary receives authorized slices — never involuntary merger of lives.

    Section 14.08 — Digital Inheritance

    Per Human Sovereignty Charter Article VII and Companion Charter Part XII — memory, identity artifacts, companion configuration transfer with provenance intact.

    Section 14.09 — Decades of Evolution

    The Twin architecture accommodates childhood (guardian-mediated, minimal retention) through elderhood (dignity-preserving simplification) without schema reset. Evolution is continuous, not disruptive.

    Section 14.10 — Lifecycle Stage Mapping

    | Stage | Twin characteristics | Authority model |

    |-------|---------------------|-----------------|

    | Childhood | Minimal layers; guardian visibility | Guardian exercises bounded sovereignty |

    | Adolescence | Expanding goals, preferences; progressive transfer | Shared guardian-minor authority |

    | Young adult | Full layer activation | Human assumes full sovereignty |

    | Mid-life | Peak graph density; complex agents | Human authority; dense permissions |

    | Elder | Simplified presentation; preserved depth | Human authority; optional delegate assist |

    | Legacy | Frozen legacy memory; active inheritance | Executor per instrument |

    | Retirement | Export, transfer, or deletion | Human or estate |


    PART XV — Twin Architecture

    Section 15.01 — Unified Architecture Overview

    The Human Digital Twin is implemented as interconnected models — not a monolithic database. Each model is inspectable, exportable, and governed independently while integrating through the Life Graph.

    Section 15.02 — Data Model

    ```

    TwinRoot {

    sovereign_human_id: identifier

    created: timestamp

    lifecycle_stage: creation | growth | learning | maturity | legacy | retirement

    layers: {

    identity: IdentityGraph

    relationship: RelationshipGraph

    preference: PreferenceStore

    goal: GoalGraph

    context: ContextState

    memory: MemoryGraph

    decision: DecisionGraph

    trust: TrustGraph

    emotional: EmotionalContext (optional, authorized)

    predictive: PredictiveModel (subordinate, non-binding)

    }

    governance: {

    ownership: human_absolute

    vault: TrustVault_reference

    charter: HumanSovereigntyCharter_v1

    }

    }

    ```

    Section 15.03 — Knowledge Graph Model

    Ontology linking entities across layers — `Person`, `Organization`, `Event`, `Goal`, `Memory`, `Permission` — with typed relationships and temporal validity.

    Section 15.04 — Relationship Graph Model

    As defined Part IV — social structure substrate.

    Section 15.05 — Trust Graph Model

    As defined Part X — authorization and confidence substrate.

    Section 15.06 — Memory Graph Model

    As defined Part VIII — experiential retention substrate.

    Section 15.07 — Context Model

    ```

    ContextState {

    active: { location, environment, schedule_snapshot, priority_weights }

    decay_policies: []

    propagation_rules: human_authorized[]

    }

    ```

    Section 15.08 — Decision Model

    Pattern store + decision event log — inference labeled, override always available.

    Section 15.09 — Prediction Model

    Non-binding forecast nodes with `confidence`, `inputs`, `alternatives`, `human_action_required: true`.

    Section 15.10 — Authorization Model

    Unified permission envelope format — shared with Agent Network per Human Sovereignty Charter Schedule C.

    Section 15.11 — Future Interfaces

    | Interface | Function |

    |-----------|----------|

    | Agent Interface | Scoped read/write; envelope-enforced |

    | Companion Interface | Holistic read; coordinated write on authorization |

    | Family Interface | Family Trust Network grants only |

    | Organization Interface | Request/response; no root access |

    All interfaces subordinate to Twin Governance (Part XIII).

    Section 15.12 — Layer Integration Matrix

    | From \ To | Identity | Relationship | Preference | Goal | Context | Memory | Decision | Trust |

    |-----------|----------|--------------|------------|------|---------|--------|----------|-------|

    | Identity | — | roles | — | career goals | residency | credentials | — | attestations |

    | Relationship | dependents | — | — | family goals | obligations | shared events | — | trust edges |

    | Goal | — | involves | informs prefs | conflicts | priority | milestones | patterns | — |

    | Context | jurisdiction | active ties | situational | active goals | — | retrieval cue | mode | — |

    Integration is graph-native — not ETL between silos.

    Section 15.13 — Export and Interoperability Schema

    Twin export bundles:

  • `identity.graph.json` — identity nodes and edges
  • `relationship.graph.json` — full relationship architecture
  • `preference.store.json` — preferences with provenance
  • `goal.graph.json` — goals and conflicts
  • `memory.graph.json` — tiered memory with retention metadata
  • `decision.graph.json` — patterns and event log
  • `trust.graph.json` — scores, grants, revocations
  • `context.policy.json` — propagation and decay rules
  • `governance.log.json` — access and modification history
  • `manifest.human-readable` — plain-language inventory
  • Formats are documented, versioned, and human-inspectable before machine import.

    Section 15.14 — Behavioral Graph Model (Extended)

    The Behavioral Graph stores aggregated tendencies derived from Decision Layer events — always labeled `inference`, always with `sample_size` and `last_human_confirmation`. Nodes: `spending_caution`, `communication_directness`, `learning_depth_preference`. Edges link behaviors to goals and contexts. The human may delete the entire Behavioral Graph without affecting factual Memory Graph contents.

    Section 15.15 — Prediction Model (Extended)

    ```

    PredictionNode {

    id: identifier

    type: need | risk | opportunity | conflict

    domain: life_domain_tag

    description: human_readable

    confidence: low | medium | high

    inputs: [memory_id | goal_id | context_key]

    human_action_required: true

    expires: timestamp

    outcome: pending | accepted | dismissed | expired

    }

    ```

    Dismissed predictions feed negative training signal for Companion calibration — never for cross-human models without explicit research consent.

    Section 15.16 — Future Companion Interface

    The Companion Interface exposes:

    • `twin.read(scope)` — holistic read within Companion authorization
    • `twin.propose_write(layer, delta)` — requires human confirmation for material changes
    • `twin.explain(node_id)` — provenance and reasoning surface
    • `twin.export()` — delegates to governance export

    The Companion Interface cannot call `twin.grant_authority` without human credential.

    Section 15.17 — Future Family Interface

    Family Interface exposes only `family.request_access(scope)` and `family.receive_shared(memory_id)` — requests routed to human for approval. No bulk family download. No minor-to-parent covert surveillance channel.

    Section 15.18 — Future Organization Interface

    Organization Interface is request-only: `org.request_data(categories)` → human approval UI → time-bounded release token. Token auto-expires. Organization never holds standing Twin replica.


    PART XVI — Closing Declaration

    The Declaration of Human Digital Continuity

    We declare that every human life, lived in an age of digital systems, deserves continuity — not the continuity of captive data in silos, but the continuity of a life understood as a whole, owned by the person who lived it.

    The Human Digital Twin exists to answer a question technology has too long ignored: How can a machine assist a human without fragmenting, exploiting, or replacing them?

    The answer is architecture — not architecture of control, but architecture of sovereignty:

    • The Twin belongs to the human
    • The Twin reflects the human — never commands
    • The Twin evolves with the human — never freezes
    • The Twin protects context the human chooses to preserve
    • The Twin forgets what the human chooses to release
    • The Twin travels where the human goes
    • The Twin endures what the human wishes to leave behind

    We declare that every human deserves continuity — the thread of identity, relationship, memory, and intention uninterrupted by platform death, corporate acquisition, or model deprecation.

    We declare that technology should adapt to humans — learning their preferences when invited, respecting their boundaries when set, growing quieter when they need silence, growing present when they need support.

    We declare that humans should not adapt to technology — should not learn the taxonomy of a hundred apps, should not become integrators of their own fragmented existence, should not bend their lives to notification schedules and engagement loops designed without their sovereignty in mind.

    The Human Digital Twin Architecture is offered as the canonical definition of human representation for the century ahead — subordinate always to the Human Sovereignty Charter, faithful always to the Companion Charter, organized always through the Life Operating System.

    The Twin is a mirror, not a master.

    The human remains the authority.

    This architecture does not age.

    Section 16.01 — Relationship to Sister Instruments

    This Architecture implements Article II (Ownership) and Article IV (Transparency) of the Human Sovereignty Charter at the representation layer. It operationalizes Part VI (Memory) and Part VII (Evolution) of the Companion Charter. It provides the per-human substrate upon which the Life Operating System domains attach.

    No implementation of Keyra Companion may claim compliance while treating the Twin as a vendor-owned profile. Compliance requires: ownership, portability, inspectability, deletion, and subordination — architecturally enforced, not policy promised.

    Section 16.02 — Century Horizon

    The representations defined here must survive:

    • Model generations that bear no resemblance to today's architectures
    • Interface paradigms not yet invented
    • Jurisdictional evolution across borders the human crosses
    • Life spans exceeding any single company's existence

    The Twin is therefore defined in semantic graphs and constitutional principles, not in vendor-specific schemas. Implementations change. The architecture endures.

    Section 16.03 — Foundational Commitment

    We commit that no generation of Keyra engineers, no future model capability, no commercial pressure shall convert the Human Digital Twin from mirror to master. This commitment is architectural, constitutional, and cultural — encoded in graphs, enforced in governance logs, and taught to every builder of Companion systems.

    The Twin exists so that when a human asks who am I, what matters, whom do I trust, what do I remember — the answer remains theirs.

    Every layer defined in this Architecture — identity, relationship, preference, goal, context, memory, decision, trust, emotional context, prediction — serves that single question. Every graph, every governance rule, every interface boundary exists so technology remembers the human without becoming the human.

    The Twin is the substrate upon which companions achieve understanding. It is the mirror in which humans see their own lives clearly enough to lead them. It is the inheritance parents pass to children, the archive elders bequeath to families, the continuity that outlasts any single device or any single company.

    No human should have to become a systems integrator of their own soul. No human should lose their story when a company fails. No human should discover that their digital reflection has been sold, merged, or optimized without their knowledge. The Architecture exists to prevent these failures — not someday, but by design, from this day forward.


    Ratified: Founding Architecture, Version 1.0

    Ecosystem: Keyra Companion

    Instrument Type: Human Digital Twin Architecture

    End of Architecture