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Comprehensive design de prompt Tools for Every Need

Get access to design de prompt solutions that address multiple requirements. One-stop resources for streamlined workflows.

design de prompt

  • Customer Service Agent with Autogen Streamlit

    AI-powered customer service agent built with OpenAI Autogen and Streamlit for automated, interactive support and query resolution.
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    What is Customer Service Agent with Autogen Streamlit?
    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.
    Customer Service Agent with Autogen Streamlit Core Features
    • Integration with OpenAI Autogen for agent orchestration
    • Streamlit-based interactive web UI
    • Dynamic context and state management
    • Customizable prompt templates and handlers
    • Easy local deployment and testing
    • Extendable back-end integration points

  • Prompt Hackers MVP

    PromptHacker is an engineering challenge focused on designing effective prompts for ChatGPT.
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    What is Prompt Hackers MVP?
    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.
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