Can you imagine building your own AI agent in minutes and without code? 🤖 OpenAI just launched AgentKit, a tool that lets you create, connect, and optimize AI agents visually 🧩 💡 What AgentKit does: - Lets you design agents with a visual canvas (like Canva or Figma 🎨) - Connects your agents with external data or APIs 🌐 - Adds interactive chat interfaces with ChatKit 💬 - Evaluates and improves their performance without leaving the platform ⚙️ ✨ Advantages: ✅ Speeds up development (from weeks to days) ✅ Less code, more productivity ✅ Ideal for startups, devs, or teams using AI in their workflows 👇 Tell me in the comments: Have you tried building an AI agent yet? Would you like me to show you how to do it step-by-step?✏️

🚀 OpenAI just dropped AgentKit a new flow builder for automations and AI agents, kind of like what we do in n8n, but fully inside the OpenAI ecosystem. It looks like they’re moving toward visual agent creation, drag, drop, connect, and deploy directly. Do you think this could affect tools like n8n, or just open up more possibilities for integrations and AI workflows? 💬 Curious to hear your thoughts — will you stick with open-source (like n8n) or try OpenAI’s new builder?