May 10
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In this video, you'll build a working multi-agent debate system from scratch using CrewAI. No theory, just production-ready code. You'll see how to define two opinionated AI agents (an Optimist and a Pessimist), assign them distinct tasks, and orchestrate them through a sequential pipeline using CrewAI's Crew and Process abstractions. This is exactly how real agentic workflows are structured in production: role-scoped agents, task-specific goals, and a controlled execution process. ───────────────────────────── 🧠 What you'll learn ───────────────────────────── → How to design agents with role, goal, and backstory → How tasks bind intent to expected output → How sequential vs parallel processes work in CrewAI → How to plug in any LLM (Gemini, OpenAI, Ollama) via the llm param ───────────────────────────── 📦 Stack ───────────────────────────── → CrewAI → Gemini 2.5 Flash (via LiteLLM) → python-dotenv ───────────────────────────── 🔗 Links ───────────────────────────── → CrewAI Docs: https://docs.crewai.com ───────────────────────────── #CrewAI #MultiAgent #Gemini #AIEngineering #AyonaireAcademy #PythonAI #LLM