An AI project management tool that helps you manage your projects and tasks with Discord integration and AI chatbot.

The main overview of the project

The main overview of the project with more details

The AI assistant interface for content suggestions

Task management interface with drag-and-drop functionality

Integrations settings for Discord Webhook and Github App

Resources section with all the project files and links

Changelog section with all the changes made to the project with AI suggestions and Markdown formatting

Feedback section with all the feedback from the users coming from API Webhook

Events section with all the events coming from the API Webhook

Reports section with all the reports about completed task in the last 10 weeks
Write-Wiz is a comprehensive project management tool designed specifically for writers, content creators, and creative teams. It combines the power of AI with intuitive project management features to streamline the content creation process.
The application was built to address the common challenges faced by content teams, such as maintaining consistent voice, tracking progress across multiple projects, and facilitating collaboration between team members.
One of the standout features is the AI chatbot that can help with content ideation, provide writing suggestions, and even help with editing. The Discord integration allows team members to receive notifications and updates directly in their preferred communication channel.
Write-Wiz follows a modern architecture with a Next.js frontend and API routes for backend functionality. The application uses PostgreSQL for persistent storage, Redis for caching and real-time features, and Docker for containerization and easy deployment.
Solution: Used Redis for caching system to store frequently accessed data, reducing the load on the database and improving response times
Solution: Used a Use-Case Driven Architecture for scalability and maintainability
Solution: Developed a granular role-based access control system with inheritance and custom permission sets
Solution: Implemented AES-GCM encryption for storing sensitive secrets
Solution: Implemented a class-based system to receive data from Github and integrate them with the application
Solution: Used BullMQ for background processing of heavy computations
Solution: Used Cypress for testing the application and make sure that it is working as expected using E2E testing and Component testing
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