PromptHacker is a web-based platform providing an engineering challenge where users design effective prompts for ChatGPT. It aims to streamline workflows and improve productivity by automating repetitive tasks. Users create and test prompts with real-world applications, tackling various challenges to achieve desired outcomes. This makes it an invaluable tool for enhancing creative problem-solving skills and efficient task management through optimized prompt design.

Teleprompt is the ultimate prompt optimizer that refines your AI chatbot prompts to generate precise, insightful, and high-quality answers. Similar to how Grammarly and Wordtune enhance writing, Teleprompt improves your prompt instantly, unlocking the full potential of AI chatbots. It offers real-time feedback, model-specific optimizations, and supports over 100 languages. Ideal for professionals, students, content creators, and anyone using AI chatbots, Teleprompt boosts productivity and enhances AI interactions.

This project showcases a fully functional customer service AI agent that leverages OpenAI’s Autogen framework and a Streamlit front end. It routes user inquiries through a customizable agent pipeline, maintains conversational context, and generates accurate, context-aware responses. Developers can easily clone the repository, set their OpenAI API key, and launch a web UI to test or extend the bot’s capabilities. The codebase includes clear configuration points for prompt design, response handling, and integration with external services, making it a versatile starting point for building support chatbots, helpdesk automations, or internal Q&A assistants.