GPT-trainer is an AI chatbot builder designed to enable users to create custom AI assistants quickly and easily. Without requiring any coding skills, it connects to your data to ensure contextual replies and can be embedded on websites or used in platforms like Slack. Ideal for automating routine inquiries, GPT-trainer offers actionable insights from user interactions, helping improve product design and business strategy while reducing customer service costs.

Multi-Agent-Conversation-AutoGen is engineered to automate the creation of interactive dialogue sequences among multiple AI agents for testing, research, and educational applications. Users supply a configuration file to define agent profiles, personas, and conversation flows. The framework orchestrates turn-based interactions, leveraging OpenAI GPT APIs to generate each message dynamically. Key features include customizable prompt templates, flexible API integration, conversation length control, and exportable logs in JSON or text formats. With this tool, developers can simulate complex group discussions, stress-test conversational agents in diverse scenarios, and rapidly produce large sets of dialogue data without manual scripting. The modular architecture allows extension to other LLM providers and integration into existing development pipelines.