Build & Deploy AI Agents Visually — OpenAI’s New Agent Builder Explained

🚀 Start your AI journey today! Join our growing Skool community for exclusive resources & tutorials: https://www.skool.com/ai-agent-automation-5168/about?ref=42b6f40694594f7f9e8175086f1cc3da 🔗 Official Links: OpenAI AgentKit Overview → https://openai.com/index/introducing-agentkit/ OpenAI Agent Builder → https://platform.openai.com/agent-builder OpenAI Agent Documentation → https://platform.openai.com/docs/guides/agents -------------------------------------- 🎥 About This Video: OpenAI just launched **AgentKit** — a complete toolkit to help developers and enterprises **build, deploy, and optimize AI agents** faster than ever. Until now, building agents meant juggling fragmented tools, no version control, and complex orchestration. AgentKit changes everything. In this video, I’ll walk you through: ✅ What AgentKit is and why it matters ✅ How AgentKit simplifies agent building using its new visual tools ✅ How to use the **Agent Builder** canvas to design and version workflows ✅ What the **Connector Registry** and **ChatKit** bring to the table ✅ How evaluation, trace grading, and prompt optimization now happen automatically ✅ Real-world examples of how companies like Klarna & Clay are already using agentic workflows -------------------------------------- 💡 Key Features in AgentKit: - **Agent Builder** → Visual canvas to design and version multi-agent workflows - **Connector Registry** → Manage data & tool integrations centrally - **ChatKit** → Easily embed chat-based AI agent experiences in your product - **Evaluation Tools** → Auto prompt optimization, datasets, and third-party model grading -------------------------------------- 👨‍💻 Why this launch matters: AgentKit marks the next evolution of OpenAI’s ecosystem — combining the **Responses API**, **Agents SDK**, and new **visual orchestration tools** to finally make agent development intuitive, scalable, and production-ready. This means faster iteration, no manual eval p