Pronto AI Productivity Bot

Pronto AI Productivity Bot

An open-source Telegram productivity bot I built to help people stay organized with AI-powered task management, smart reminders, and habit tracking—all within their favorite messaging app.

Samir Saqer / January 4, 2025

Telegram APIpython

Project Overview

ProntoAI Bot is an intelligent Telegram productivity assistant I developed to solve a simple problem: productivity tools are scattered across too many apps. I wanted to create something that lives where people already spend their time—their messaging app.

The bot helps users manage tasks, set smart reminders, track daily habits, and access AI-powered assistance, all without leaving Telegram. It's designed with simplicity and efficiency in mind, because productivity tools should save time, not consume it.

Visit the official website to learn more about the project's mission.

Why I Built This

As someone who values productivity, I found myself juggling multiple apps—one for tasks, another for reminders, and yet another for habit tracking. The friction of switching contexts was counterproductive. I realized Telegram's powerful bot API could host an all-in-one solution that's always accessible.

I also wanted to make this project open source so others could:

  • Learn from the codebase
  • Contribute new features
  • Self-host their own instances
  • Adapt it to their specific workflows

Technical Architecture

Technology Stack

  • Backend: Python with python-telegram-bot library
  • Database: PostgreSQL for persistent storage
  • AI Integration: OpenAI API for intelligent responses
  • Scheduling: APScheduler for reminder notifications
  • Deployment: Docker containers on cloud infrastructure
  • CI/CD: GitHub Actions for automated testing and deployment

Key Technical Challenges I Solved

1. Reliable Reminder System
Built a robust scheduling mechanism that handles timezone conversions, recurring reminders, and graceful failure recovery. The system ensures notifications are never missed, even during server restarts.

2. Conversational Task Management
Designed an intuitive natural language interface where users can create tasks like "Remind me to call mom tomorrow at 3pm" without rigid command structures.

3. State Management
Implemented efficient conversation state tracking to handle multi-step interactions while keeping the bot responsive and memory-efficient.

4. Scalability
Architected the system to handle concurrent users with asynchronous processing and connection pooling, ensuring smooth performance as the user base grows.

Core Features

✔ Task Management

Create, organize, and complete tasks directly in Telegram. Set priorities, add descriptions, and categorize tasks without leaving your chat. I implemented a clean inline keyboard interface that makes task management feel natural and effortless.

✔ Smart Reminders

Set one-time or recurring reminders using natural language. The system intelligently parses time expressions and handles complex schedules like "every weekday at 9am" or "first Monday of each month."

✔ Habit Tracking

Build consistency by tracking daily habits. The bot sends gentle reminders, celebrates streaks, and provides visual progress indicators. I designed the tracking system to be non-intrusive yet motivating.

✔ AI-Powered Assistance

Integrated OpenAI's language models to provide context-aware help. Ask questions about your schedule, get task suggestions, or receive productivity tips—the AI understands your workflow and adapts its responses accordingly.

✔ Data Privacy First

All user data is encrypted at rest, and I've implemented privacy-focused features like data export and account deletion. As an open-source project, users can verify exactly how their data is handled.

Open Source & Contributions

This project is fully open source under the MIT License. The complete source code, documentation, and contribution guidelines are available on GitHub.

Ways to contribute:

  • Report bugs or suggest features via GitHub Issues
  • Submit pull requests for new features
  • Improve documentation
  • Share your self-hosted configurations
  • Translate the bot to new languages

I actively maintain the project and review contributions regularly. Whether you're a beginner or experienced developer, there are opportunities to contribute at every skill level.

Development Insights

Building ProntoAI taught me valuable lessons about:

  • Designing conversational interfaces that feel natural
  • Balancing feature richness with simplicity
  • Managing asynchronous operations in Python
  • Deploying and monitoring production bots
  • Building systems that scale gracefully

The project continues to evolve based on user feedback and my own productivity experiments. Check the GitHub repository to see active development and upcoming features.

Get Started

Try the bot: @ProntoAIBot on Telegram
Learn more: prontoai.xyz
Explore the code: GitHub