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A movie pitch generator felt \nlike a fun, low-stakes way to explore how multiple specialized agents can collaborate and \nbuild on each other's output — concept, character, structure, and critique — while still \nbeing something genuinely useful to show in a portfolio.\n\n## How it works\n\nThis isn't a single prompt to an LLM — it's four specialized agents, each with a distinct role, passing context to one another in sequence:\n\n1. **Concept Agent** — generates the title, logline, genre, tone, and poster concept\n2. **Character Agent** — reads the concept and creates a protagonist and antagonist with full backstories and arcs\n3. **Structure Agent** — reads the concept and characters, then builds a three-act structure\n4. **Critic Agent** — reviews the complete pitch and gives a score, strengths, weaknesses, and revision notes\n\nEach agent receives the previous agents' outputs as context, so the characters fit the concept's tone, and the structure builds on both.\n\n## Tech stack\n\n- **CrewAI** — multi-agent orchestration framework\n- **Groq (Llama 3.1)** — LLM inference, accessed via an OpenAI-compatible API\n- **Pydantic** — structured data schemas\n- **Python-dotenv** — environment variable management\n\n## Architecture decisions\n\n- **Why separate agents instead of one prompt?** Each agent has a narrow, well-defined role with its own backstory/persona. This produces more focused, higher-quality output than asking one agent to do everything, and makes the system easier to debug and extend.\n- **Why Groq instead of OpenAI?** Groq offers a generous free tier and fast inference speeds, making it ideal for an iterative side project without ongoing API costs.\n- **Rate limit handling** — the free tier has a token-per-minute limit, so I added retry-with-backoff logic that catches rate limit errors and retries after a cooldown period.\n\n## What I'd improve next\n\n- [ ] Add the critic's feedback loop — automatically revise the pitch if the score is below a threshold\n- [ ] Add a web search tool so the structure agent can ground story beats in real historical events\n- [ ] Add image generation for the poster concept\n\n## Running it locally\n\n```bash\ngit clone [your repo URL]\ncd movie-pitch-generator\npython -m venv venv\nvenv\\Scripts\\activate   # Windows\npip install -r requirements.txt\n```\n\nCreate a `.env` file with:\n\nGROQ_API_KEY=\n\nThen run:\n```bash\npython main.py\n```\n\n## Sample output\n\n**Movie Title:** \"Mystic Nizam\"\n\n**Logline:** When a group of young friends stumble upon an ancient artifact in the hidden tunnels beneath the 18th-century Purani Haveli in Hyderabad, they unknowingly unleash a powerful entity that threatens to destroy their city, forcing them to unravel its mysteries before it's too late.\n\n**Genre:** Science Fiction, Thriller\n\n**Tone:** The film blends atmospheric sci-fi suspense with the nostalgia of '80s Hyderabad, showcasing the city's rich history, cultural heritage, and mystique, while maintaining a thrilling pace that keeps the audience on the edge of their seats.\n\n**Protagonist:** Kavi Kumar — a curious, adventurous teenager from a family of Telugu Brahmins, whose reckless curiosity leads him to discover the Mystic Nizam artifact and become responsible for saving his city.\n\n**Antagonist:** Dr. Rohit \"Rohan\" Raj — a brilliant, ruthless scientist obsessed with harnessing the artifact's power for his own research, regardless of the cost.","readmeExcerpt":"🎬 AI Movie Pitch Generator A multi-agent system built with **CrewAI** that generates complete movie pitches — concept, characters, three-act structure, and critical feedback — through a pipeline of specialized AI agents. 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