Under the Hood: Building an RL Environment with Zapier & Prime Intellect

Ready to build? Access the power of Zapier in any AI tool with Zapier MCP. 🔗 https://bit.ly/4qj68TD Welcome to the debut episode of Under the Hood, a technical series exploring the frontier of AI engineering at Zapier. Join Robin Salimans (AI Engineer, Zapier) and Will Brown (Research Engineer, Prime Intellect) as they dive deep into the world of Reinforcement Learning (RL) Environments and the tools making agentic optimization possible. In this deep-dive session, Robin and Will move beyond simple "question-answer" chatbots to explore how environments act as the "train set" for the next generation of AI agents. Key Technical Takeaways: ==================== 🌍 What are RL Environments? Learn how environments move agents from one-off predictions to interactive, optimized workflows. 🛠️ The Verifiers Toolkit: An inside look at the open-source library bridging the gap between application engineering and model training. 🏋️ Agent Gym at Zapier: How Zapier is building on top of Verifiers to create Agent Gym, an internal eval and training framework. 🔌 The MCP Pattern: Why the Model Context Protocol (MCP) is the "plug-and-play" future for connecting agents to third-party tools like Airtable, Google Sheets, and Zapier's 8,000+ apps. 🧬 JEPA & Prompt Optimization: A look at the Genetic Pareto (JEPA) algorithm for iterative, automated prompt engineering. 🏆 The Zapier MCP Challenge: Robin announces a community challenge to create realistic, affordable mocks for Zapier's MCP server to help scale agent training. 🛠️ Featured Tools 🛠️ ================ Verifiers, Prime Intellect Environments Hub, Zapier Agent Gym, MCP (Model Context Protocol).