Automatic Time Mapping

Overview

Automatic time mapping uses artificial intelligence and machine learning to automatically categorize tracked activities into appropriate projects, clients, and tasks. The system learns from user behavior to intelligently assign time without manual selection, dramatically reducing administrative overhead.

How It Works

1. Activity Capture: System tracks documents, applications, websites used
2. Pattern Recognition: AI identifies connections between activities and projects
3. Automatic Assignment: Activities mapped to appropriate categories
4. User Confirmation: User approves or corrects automatic assignments
5. Continuous Learning: System improves accuracy with each correction

Learning Signals

• Document names and file paths
• Email subject lines and recipients
• Website URLs and page titles
• Application usage patterns
• Time of day and day of week
• Historical manual assignments

Benefits

• Time Savings: Eliminate manual project selection
• Higher Accuracy: Consistent categorization
• Better Adoption: Remove friction from time tracking
• Complete Data: Nothing falls through cracks
• Passive Tracking: No active user input needed

Accuracy Improvement

• Initially 60-70% accuracy
• Improves to 85-95% with usage
• Learns individual work patterns
• Adapts to changes over time
• Handles complex multi-project workflows

Use Cases

Consultants

Automatically map client emails and documents to respective projects

Developers

Assign GitHub repos and IDEs to correct development projects

Designers

Connect Figma files and Adobe apps to design projects

Writers

Map Google Docs and research sites to content projects