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The same three agents are run through both process types on the same topic to directly compare how each orchestration strategy behaves.\n\n## Features\n\n- **Three distinct agent personas** — a \"hot-take\" stats debater, an old-school scout debater, and a talk-show-host moderator, each with a contrasting voice and argument style\n- **Sequential mode** — a fixed, hardcoded task pipeline: For → Against → Judge, with explicit `context` passing between tasks\n- **Hierarchical mode** — the moderator acts as a manager, dynamically deciding at runtime which agent should handle each task via CrewAI's `delegate_work_to_coworker` tool, rather than following a pre-assigned order\n- **Verbose execution tracing** — CrewAI's built-in `verbose=True` output shows each agent's reasoning, task handoffs, and final answers live in the console\n\n## Project structure\n\n```\nagents.py               # Shared Agent definitions (role/goal/backstory) and LLM config\ndebate_sequential.py     # Task setup + Crew using Process.sequential\ndebate_hierarchical.py   # Task setup + Crew using Process.hierarchical, moderator as manager_agent\n```\n\n## Setup\n\n### 1. Create a virtual environment\n\nCrewAI's dependencies require Python 3.10–3.13 (not 3.14+ at time of writing):\n\n```bash\npython -m venv crewai_env\ncrewai_env\\Scripts\\activate      # Windows\nsource crewai_env/bin/activate   # macOS/Linux\n```\n\n### 2. Install dependencies\n\n```bash\npip install crewai crewai-tools \"crewai[google-genai]\"\n```\n\n### 3. Set your Google API key\n\nNever hardcoded in source — read from an environment variable.\n\n**PowerShell:**\n```powershell\n$env:GOOGLE_API_KEY = \"your-key-here\"\n```\n\n**Git Bash / macOS / Linux:**\n```bash\nexport GOOGLE_API_KEY=\"your-key-here\"\n```\n\nGet a key from [Google AI Studio](https://aistudio.google.com/apikey).\n\n### 4. Run either version\n\n```bash\npython debate_sequential.py\npython debate_hierarchical.py\n```\n\n## What sequential vs. hierarchical actually looks like\n\n**Sequential:** each task is assigned directly to an agent in code (`agent=agent_for`). Execution order is fixed at write-time — no reasoning about \"who should do this\" happens at runtime.\n\n**Hierarchical:** tasks have no `agent=` assignment. 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