LazyDesk: Building a Local AI Task Organizer with Ollama

Have you ever had a long list of tasks but struggled to decide what to do first?

I built LazyDesk, a simple local AI-powered task organizer, to explore how an open-weight AI model can turn raw tasks into a more structured and actionable plan.

What is LazyDesk?

LazyDesk is a web application that accepts a list of tasks and uses a locally running AI model to organize them. It also includes an interactive checklist so users can tick off completed tasks and track their progress.

Features

• AI-generated task plans
• Suggested priorities and categories
• Estimated task durations and recommended task order
• Interactive task checklist
• Live progress counter
• Local AI inference using Ollama

Tech Stack

• HTML, CSS and JavaScript
• Node.js and Express
• Ollama
• Qwen 2.5 3B

How It Works

1. The user enters a list of tasks.
2. The Express backend receives the input.
3. The backend sends a prompt to the locally running Ollama API.
4. The Qwen model generates an organized plan.
5. LazyDesk displays the result and provides a checklist for tracking completed tasks.

Why Local AI?

I wanted to experiment with running an AI model locally instead of depending on an external AI API. This made the project a useful way to learn about API integration, backend development and local inference.

The AI processing runs through Ollama on the user's machine. The generated priorities and time estimates are suggestions, so users should review them rather than treat them as exact.

What I Learned

Building LazyDesk helped me practise connecting a frontend to a backend, sending API requests, handling errors, integrating a local AI model and updating the user interface dynamically.

I also learned that adding an AI model is only one part of an application. The surrounding interface and workflow are what make the model useful to people.

Current Limitations and Future Plans

Currently, checklist progress resets when the page is refreshed. In the future, I would like to add persistent task storage, editable tasks, due dates and better progress tracking.

Try the Project

GitHub repository: https://github.com/Abhishek-gitty/LazyDesk

To run it locally, install Node.js and Ollama, download the qwen2.5:3b model, run npm install, and start the application with node server.js.

This is an ongoing learning project, and I look forward to improving it further.

OpenSource #AI #JavaScript #Ollama