The Coded Path

The past month has been exciting as I’ve focused on transforming Task Alchemist into a more sophisticated and intuitive task management tool. My goal has always been to optimize task scheduling by blending AI and cognitive psychology insights. Here’s a summary of the latest progress.

Streamlined Calendar Integration

One of my key development efforts was improving the calendar integration to seamlessly import external calendars. Specifically, I implemented the feature to import Google Calendar data directly into FullCalendar. Each imported event is tagged with the property source: 'google', ensuring that all external events are easily distinguishable.

Firebase Tasks Scheduled Around Imported Events

A significant challenge was enabling Firebase tasks to be scheduled around imported Google Calendar events. This feature required a delicate balance between optimizing productivity and respecting external commitments. I tackled this by calculating priority weighting with a Cloud Function and ensuring that task data is dynamically scheduled in a way that adapts to each user’s existing commitments.

Reinforcement Learning and Q-Learning

To achieve my ambitious AI scheduling goals, I’ve been feeding real task data into my reinforcement learning setup, leveraging TaskEnv as the environment. I aim to enable the system to learn from real-world task patterns, ensuring that each schedule recommendation aligns with a user’s natural workflow.

Preliminary Surveys and Feedback

The best features are shaped by real-world usage. I conducted preliminary surveys with testers, focusing on features like task creation, list management, calendar scheduling, and Google Calendar imports. The feedback collected has been invaluable for refining preliminary AI scheduling features, helping me identify opportunities for improvement before launching publicly.

Looking Ahead

As I move into the next phase of development, I will refine the reinforcement learning algorithms and enhance the overall AI-driven task prioritization framework. I’m also incorporating cognitive psychology insights into the scheduling algorithms to ensure a balance of efficiency and user satisfaction.

Stay tuned for more updates, and thank you for following my journey with Task Alchemist!