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AI Assistant Suite is a web application suite designed to help users structure their prompts for OpenAI's ChatGPT efficiently by simplifying user interactions by adding simple input fields while utilizing advanced prompt engineering techniques to maximize the value extracted from AI interactions.

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AI Assistant Suite

AI Assistant Suite is a web application suite designed to enhance user interactions with OpenAI's ChatGPT. This suite offers a variety of specialized assistants, each tailored to help you accomplish specific tasks efficiently. With its simplified prompt creation through intuitive interfaces and advanced prompt engineering, AI Assistant Suite ensures optimal AI performance for every use case. Built with the T3 stack - TypeScript, Next.js, tRPC, Tailwind CSS, and Prisma.

✨ Features

  • 📝 Simplified Input Fields: User-friendly interfaces that make creating prompts a breeze.
  • 🔧 Advanced Prompt Engineering: Leverage sophisticated prompt structures to enhance AI responses.
  • 🔌 API Integration: Seamless interaction with OpenAI's ChatGPT for real-time results.
  • 💻 Modern Tech Stack: Built with TypeScript, Next.js, tRPC, Tailwind CSS, and Prisma for a robust and maintainable codebase.

🚀 Installation

  1. Clone the repository:
git clone https://github.com/eerkkk/ai-assistant-suite.git
  1. Navigate to the project directory:
cd ai-assistant-suite
  1. Install dependencies:
npm install
  1. Set up environment variables: Create a .env file in the root directory and add your OpenAI API key:
OPENAI_API_KEY=your_openai_api_key
  1. Run the development server:
npm run dev
  1. Open http://localhost:3000 in your browser to see the application in action.

🤝 Contributing

Contributions are welcome! Please fork the repository and submit a pull request.

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

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AI Assistant Suite is a web application suite designed to help users structure their prompts for OpenAI's ChatGPT efficiently by simplifying user interactions by adding simple input fields while utilizing advanced prompt engineering techniques to maximize the value extracted from AI interactions.

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