Flow Protection Core

The Flow Protection Core represents the foundational intelligence system within FloShake, designed to detect, protect, and enhance deep creative states through machine learning-driven pattern recognition. This system fundamentally reimagines interruption management through contextual awareness and predictive modeling.

Flow State Intelligence Model

Flow states exist across a continuous spectrum with distinct phases:

• Preparation Phase (0-30 score): Warming up, gathering resources, initial focus
• Entry Phase (31-60 score): Building momentum, narrowing attention
• Engagement Phase (61-80 score): Deep focus, productive creation
• Deep Phase (81-100 score): Optimal performance, immersive creation

Flow moves fluidly between states through:

• Positive Transitions: Deeper engagement through momentum building
• Negative Transitions: State degradation through interruptions
• Recovery Transitions: Flow rebuilding after interruptions
• Session Evolution: Natural energy patterns across work sessions

Interruption Impact Framework

Interruptions affect flow states with variable impact based on:

• Interruption Type: Notifications, context switches, environmental factors
• Current Flow Depth: Deeper states experience more significant impact
• Timing Dynamics: Interruptions later in flow have greater impact
• Content Context: Interruptions related to current work have lower impact

Core Components

• Flow Metrics & Measurement
• Interruption Impact Assessment
• Notification Priority System

Implementation Framework

• Flow Session Documentation
• ML Architecture
• Integration Architecture

Meta-Implementation

The Flow Protection Framework is actively used in the development of FloShake itself, creating a recursive improvement loop where flow protection enhances the development of better flow protection. Each development session is tracked with flow metrics, interruption impact assessment, and notification management strategies.