Learn how to build, understand, and apply Agentic AI — autonomous systems that plan, reason, and act across tasks. Step-by-step tutorials, use cases, and best practices for the next generation of AI.
📘 Introduction Welcome to this hands-on OpenAI Agents tutorial! In this guide, we’ll build a simple but powerful multi-agent system— a coordinated group of small AI agents that work together to handle different tasks. Our system will include one agent for travel suggestions, another for weather updates, and...
📘 Introduction The OpenAI Agent Builder is a visual, no-code canvas for creating intelligent workflows powered by AI. It lets you design and connect nodes — modular building blocks that define how your agent processes inputs, performs reasoning, calls external tools, applies safety checks, and produces outputs. Each node has a...
📘 Introduction Welcome to this hands-on guide to OpenAI Agent Builder — a revolutionary no-code tool that lets you design and deploy multi-agent workflows using a drag-and-drop interface. In this post, we’ll walk you through how to access the Agent Builder and create your first agent...
📘 Introduction Chatbots are becoming smarter and more useful thanks to agent frameworks. Instead of just responding to messages, agents can plan, call tools, and take actions. With the OpenAI Agents SDK, you can build intelligent assistants that do more than just chat—they can search, calculate, and even connect to...
📘 Introduction Chatbots are becoming smarter and more useful thanks to agent frameworks. Instead of just responding to messages, agents can plan, call tools, and take actions. With the OpenAI Agents SDK, you can build intelligent assistants that do more than just chat—they can search, calculate, and even connect to...
📘 Introduction Artificial intelligence (AI) has rapidly evolved, and one of its most impactful applications lies in natural language processing (NLP). From search engines to conversational assistants, AI models power many of the tools we use daily. However, not all AI models are created for the same purpose. Two important categories—...
📘 Introduction Welcome to this hands-on LangChain + LangGraph tutorial! In this guide, we’ll build an AI agent with tool-calling capabilities using LangChain, LangGraph, and OpenAI models. Instead of just answering questions, our agent will be able to invoke a Python function when needed. We’ll demonstrate this with...
📘 Introduction Welcome to this hands-on LangChain + LangGraph tutorial! In this guide, we’ll walk you step-by-step through creating your first AI agent using LangChain, LangGraph, and OpenAI models — perfect for beginners who want to build intelligent, autonomous assistants with flexible workflows. 💡 What are LangChain and LangGraph? * LangChain...
📘 Introduction Welcome to this hands-on tutorial! In this guide, we’ll walk step-by-step through using structured output with the OpenAI Agents SDK — perfect if you want your AI agent responses returned as clean, machine-readable JSON instead of free-form text. 💡 What is Structured Output? Normally, LLM...