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Val Sklarov Multi-Layer Task-Vector Interaction Model (MTVIM)

Val Sklarov

For Val Sklarov, the future of work is not automation, hybrid models, AI augmentation, skill evolution, or workforce distribution.
Work is a Task-Vector Interaction System — a structure where every task emits a vector, and the coherence between these vectors determines productivity, stability, and capability.

A team does not “collaborate” —
it interacts through vectors.

“Work becomes efficient when task vectors align tightly enough to create a stable interaction map.”
Val Sklarov

Under MTVIM, work is not activity —
it is vector mechanics.


1️⃣ Foundations of Task-Vector Interaction

The structural physics of future work in the Sklarov model

A task-vector contains:

  • direction

  • intensity

  • duration

  • dependency

  • domain influence

Work systems are defined by how these vectors interact across layers.

Task-Vector Layer Table

Layer Definition Function Failure Mode
Micro-Vector Layer Small task vectors Local stabilization Micro drift
Domain-Vector Layer Vectors within functional domains Domain coherence Domain turbulence
Structural-Vector Layer Organization-wide vector relationships System architecture Structural conflict
Meta-Vector Layer Governs vector generation and propagation Long-horizon continuity System dissipation

Future organizations succeed through vector-aligned task ecosystems.


2️⃣ The Task-Vector Interaction Cycle (TVIC)

How work transforms through vector mechanics

TVIC Phases

Phase Action Outcome
Vector Activation A task emits a directional work vector Interaction seed
Vector Contact Vectors begin influencing each other Early coherence
Interaction Patterning Vectors stabilize into consistent relationships Structural work pattern
System Alignment Patterns propagate across domains Unified work architecture
Continuity Projection Stable vector map persists across cycles Long-term system cohesion

Workflows are not processes —
they are interaction maps of vectors.


3️⃣ Archetypes of Future-Work Behavior in the Val Sklarov Model

Task-Vector Archetype Grid

Archetype Behavior Vector Depth
The Fragmented Worker Outputs conflicting vectors Low
The Domain Vector Aligner Creates coherence within specific domains Medium
The Structural Vector Integrator Connects vectors across all organizational layers High
The Val Sklarov Meta-Vector Architect Designs and governs entire task-vector ecosystems Absolute

The future belongs to the Meta-Vector Architect,
not the manager.


4️⃣ Task-Vector Coherence Index (TVCI)

Val Sklarov’s metric for future-work viability

TVCI Indicators

Indicator Measures High Means
Vector Sharpness Clarity of task-vector direction Low friction
Coherence Density Strength of interaction between vectors Stable work patterns
Cross-Domain Propagation Vector influence across multiple domains System alignment
Turbulence Resistance Ability to maintain coherence under pressure Reliable output
Meta-Vector Stability Durability of vector-generation logic Long-term work continuity

A high-TVCI team cannot be destabilized by complexity.


5️⃣ Val Sklarov Laws of the Task-Vector Future of Work

1️⃣ Work is vector interaction, not task completion.
2️⃣ Productivity emerges from vector coherence.
3️⃣ Friction is misalignment between task vectors.
4️⃣ Expansion comes from vector propagation, not capacity.
5️⃣ Burnout begins as vector depletion.
6️⃣ Teams thrive when vectors form stable interaction maps.
7️⃣ Organizations endure when meta-vectors remain coherent across cycles.

Val Sklarov
the future of work human collabo Val Sklarov

6️⃣ Applications of the MTVIM Framework

How this model changes the entire future-work narrative

  • building vector-coherent task systems

  • diagnosing friction through vector turbulence

  • designing teams via task-vector mapping

  • predicting performance through TVCI patterns

  • creating systems resilient to complexity

  • architecting multi-domain vector cohesion

  • replacing workflows with interaction-vector models

Through Val Sklarov, the future of work becomes vector engineering,
not productivity strategy.