Skip to main content

Overview

The integration between the file watcher and Work-Wiki transforms raw file system events into actionable transparency, enabling the Human-AI feedback loop.

Complete Data Flow

From file change to transparency visualization.

Event Types and Interpretation

Each event type has specific meaning for Work-Wiki analysis.

Database Schema for Work-Wiki

The database structure enables powerful querying and analysis.

Work-Wiki Query Patterns

Common queries for transparency analysis.

AI Work Detection

Multiple mechanisms identify AI-generated changes.

Real-Time Push Notification Flow

Step-by-step subscription and notification delivery.

Performance Characteristics

Resource efficiency enables continuous monitoring.

THE CENTER: Complete Feedback Loop

The integration enables all three elements of the Human-AI feedback loop.

Integration Summary

The file watcher integration provides the technical foundation for the Human-AI feedback loop through:
  • Data Pipeline: File system events flow through SQLite to Work-Wiki
  • Real-Time Updates: Push notifications enable immediate visibility
  • AI-Aware Filtering: Whitelisting ensures meaningful tracking
  • Queryable History: Database enables timeline reconstruction
  • Attribution Detection: Temporal and path analysis identifies AI work