Feb 13
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In this video, I demonstrate how to build a multi-agent AI workflow using CrewAI, where different AI agents collaborate and hand off tasks just like a real software development team. Instead of using a single LLM, we create a structured AI team: 🧠 Planner Agent – Breaks down the problem into development steps 💻 Developer Agent – Writes Python code and saves it to a file 🔍 Reviewer Agent – Reviews the code and suggests improvements We use a sequential process in CrewAI to enable true agent handoff — meaning each agent’s output becomes the next agent’s input. In this demo, the agents work together to build a simple CLI calculator and automatically generate the calculator.py file using tools. 🔥 What You’ll Learn How to create multiple agents in CrewAI How to assign different LLM models to different roles How to enable tool usage (FileWriterTool) How task handoff works using Process.sequential Why multi-agent orchestration is powerful for real-world AI systems 🏗 Real-World Use Cases AI-powered development pipelines Autonomous research assistants Code review automation AI DevOps workflows Enterprise AI orchestration systems 🛠 Tech Stack Used CrewAI OpenAI Models (gpt-3.5-turbo, gpt-4o) Python FileWriterTool If you're a developer exploring AI engineering, multi-agent systems are the next big step beyond simple chatbots. 👉 Subscribe for more real-world AI architecture tutorials and hands-on demos. #crewai #pythonai #multiagentsystems