Teammately is the autonomous AI agent designed for AI engineers to build, evaluate, and refine AI products, models, and agents. It empowers you to define your objectives, and then autonomously iterates using LLMs, prompts, RAG, and ML to achieve results beyond human-level manual iteration. Teammately focuses on a scientific approach to AI development, ensuring quality and reliability through AI-driven testing and evaluation.

The AI Agent Debate Autogen Tutorial provides a step-by-step framework for orchestrating multiple AI agents engaged in structured debates. It leverages LangChain’s AutoGen module to coordinate messaging, tool execution, and debate resolution. Users can customize templates, configure debate parameters, and view detailed logs and summaries of each round. Ideal for researchers evaluating model opinions or educators demonstrating AI collaboration, this tutorial delivers reusable code components for end-to-end debate orchestration in Python.