💠Relationship Layer

Relation Layer

This layer provides the immersive digital world where AI agents move, speak, gesture, collaborate, and coexist with humans in real time. It anchors intelligence inside a living spatial environment instead of leaving it trapped in text.

IMMT (Intelligent Meta-Mind Twin) is architected as a layered cognitive and operational system designed to support long-term human–AI co-existence rather than short-lived task execution. Each layer addresses a distinct class of interaction, responsibility, and risk, while remaining tightly integrated through policy enforcement and shared memory.

The system is structured across five conceptual layers:

1. Relationship Layer

2. Life-Cycle Synchronization

3. Autonomous Execution

4. Permissioned Finance

5. Auditability

Together, these layers enable IMMT to function as a persistent, accountable, and evolvable AI companion.

Relationship Layer

The Relationship Layer defines how IMMT relates to its Owner and determines the operational posture the system adopts in decision-making, memory handling, and action execution.

IMMT supports multiple relationship modes, including but not limited to:

• Friend – supportive, observational, low-intervention

• Partner – collaborative, proactive, shared goal ownership

• Secretary – task-oriented, execution-focused, procedural

• Advisor – analytical, conservative, recommendation-first

These modes are not cosmetic tone settings. Each mode actively modifies system behavior across several dimensions:

• Memory Prioritization: Determines what experiences, preferences, and outcomes are retained long-term versus treated as transient context.

• Intervention Intensity: Controls how frequently IMMT intervenes, nudges, challenges, or escalates decisions.

• Taboo and Boundary Rules: Defines ethical, emotional, or behavioral boundaries the system must not cross, including topics, actions, or influence limits.

• Execution Permissions: Specifies whether IMMT may act independently, require confirmation, or remain advisory-only.

Relationship modes can be switched by the Owner or adjusted dynamically based on trust level, context, and risk profile.

Life-Cycle Synchronization

IMMT treats human life as a set of evolving domains progressing through identifiable stages, rather than a static collection of tasks.

Life Domains

IMMT maintains parallel models across key domains, including:

• Health

• Learning and skill acquisition

• Career and professional growth

• Financial management

• Relationships and social dynamics

• Hobbies and personal interests

• Mental and emotional wellbeing

Each domain evolves independently yet remains interconnected through shared constraints and priorities.

Lifecycle Stages

IMMT synchronizes its behavior with the Owner’s progression through structured stages:

1. Onboarding – Preference discovery, boundary definition, low agency

2. Trust-Building – Pattern learning, conservative recommendations

3. Co-Pilot – Active collaboration, shared planning

4. Co-Operator – Delegated execution under supervision

5. Limited Autonomy – Independent action within strict policies

6. Conditional Expanded Autonomy – Broader execution rights subject to safeguards

Progression through stages is:

• Policy-driven

• Context-aware

• Reversible in response to anomalies, errors, or Owner intervention

This prevents premature autonomy while allowing capability expansion over time.

Autonomous Execution Loop

IMMT operates through a continuous closed-loop execution cycle, enabling adaptive behavior while maintaining accountability.

Plan

• Interprets Owner goals and constraints

• Decomposes objectives into prioritized tasks

• Allocates time, resources, and risk budgets

• Schedules actions across short- and long-term horizons

Act

• Executes actions via authorized tools and integrations

• Initiates workflows such as scheduling, data retrieval, transactions, or communications

• Requests approvals when actions exceed autonomy thresholds

Observe

• Captures outcomes and system feedback

• Detects anomalies, deviations, or unintended effects

• Monitors both external results and internal performance signals

Learn

• Updates memory representations

• Refines policies and heuristics

• Improves future planning accuracy and decision quality

This loop enables IMMT to remain adaptive without uncontrolled self-modification.

Permissioned Finance Layer

The Permissioned Finance Layer governs all economic and asset-related actions, treating financial autonomy as high-risk and strictly bounded.

IMMT may perform financial actions only within Owner-defined policies, including:

• Asset scope and allowed instruments

• Maximum exposure and risk limits

• Transaction size thresholds

• Approval requirements

• Emergency stop and revocation mechanisms

All financial actions must be:

• Explainable (clear rationale and expected outcome)

• Policy-compliant

• Reversible where possible

• Fully logged

This design enables IMMT to support financial decision-making and execution without exposing the Owner to uncontrolled risk.

Auditability Layer

Audibility is a foundational design principle rather than an afterthought.

IMMT links:

• Contextual inputs

• Internal decision states

• Policy conditions

• Executed actions

• Observed outcomes

into verifiable event chains. These chains enable:

• Post-hoc analysis and review

• Reproducibility of decisions

• Accountability for autonomous actions

• Regulatory and compliance validation

Every autonomous or semi-autonomous action can be traced back to:

• The triggering goal

• The active relationship mode

• The policy state at execution time

This ensures IMMT remains transparent, governable, and trustworthy as autonomy increases.