How EnergyLogic Works
Under the Hood

EnergyLogic is a behavioral-cognitive system using a multi-layered model of human states to predict behavior, select strategies, and enhance user life effectiveness.

The architecture is built as a hybrid of three key levels: Data Layer, Behavior Engine, and Strategy OS.

System Architecture

Three integrated layers working together to create personalized life navigation

01

Data Layer

Collection and normalization of signals

Aggregates minimal necessary user data

Transforms into "energy profile"

Basic characteristics (age, schedule, workload, goals)

Subjective markers (mood, energy, physical state)

Behavioral patterns (decisions, deferred tasks, focus, impulsiveness)

Environmental context (stressors, pressure points, resources)

Data passes through a normalizer that algorithmically converts fragmented information into readable parameters: energy levels, cognitive flexibility, stress index, focus index, risk index, etc.

02

Behavior Engine

Mathematical model of energy and behavior

The core of the system - pure mathematics

Energy Flow Model - predicts daily/weekly energy peaks

Decision Pattern Model - predicts decisions in different states

Friction Mapping Model - identifies energy leaks

All three models work together

Creates personal EnergyGraph (dynamic state map)

Energy Flow Model

Predicts daily and weekly energy peaks using personal activity curves, environmental influence, behavioral cycles, and mood variability

Decision Pattern Model

Predicts decisions based on logical preferences, impulsiveness, stress resilience, risk tendency, and information processing style

Friction Mapping Model

Identifies friction points: procrastination, chaos, overload, lack of structure, incorrect effort distribution

03

Strategy OS

Personal routes and protocols

Based on EnergyGraph generates:

Daily Routes - step-by-step trajectories

Protocols - strict action sets for high-risk tasks

Adaptive Recommendations - real-time route adjustments

Long-range Forecasts - weekly/monthly effectiveness predictions

Daily Routes

What to do now, later, and what to avoid

Protocols

For negotiations, conflicts, deadlines, recovery

Adaptive Recommendations

Real-time state change responses

Long-range Forecasts

Macro-goal planning support

Why EnergyLogic Works

Business logic and competitive advantages

High Retention

The system becomes a "behavioral assistant" — a daily tool users rely on

Deep Personalization

Unlike fitness trackers and generic AI coaches, EnergyLogic builds a personality model, not just advice

Increasing Accuracy

The more users interact, the more accurate behavior predictions and results become

Economic Scalability

90% of logic is algorithmic. All three model layers scale without deep individual consultations

Future Scaling

EnergyLogic is a platform that can be extended with additional modules:

In perspective — "Human OS" on top of the user's real life

Career Navigator

Stress-OS

Relationships & Communication

Leadership

Health & Recovery

Finance & Risk Management

Ready to Dive Deeper?

Let's discuss pilots, funding, data partnerships, and the technical roadmap