An intelligent, multi-agent system to autonomously plan, write, edit, fact-check, and publish a complete book using the CrewAI framework and Groq's LLaMA-3-70B model. This AI pipeline mimics the collaborative process of human authors, editors, and publishers to streamline creative book development.
This project leverages multiple specialized AI agents, each assigned a distinct role in the book creation pipeline:
- Planning Agent: Outlines the concept, characters, and story world.
- Writing Agent: Drafts each chapter based on the structured plan.
- Editing Agent: Refines grammar, coherence, and clarity.
- Fact-Checking Agent: Ensures all facts and real-world references are accurate.
- Publishing Agent: Formats the manuscript and prepares it for final release.
All agents work sequentially using the CrewAI orchestrator to simulate a real-world publishing team.
- Python
- CrewAI — Multi-agent workflow framework
- Langchain-Groq — LLaMA 3 integration via Groq API
- Groq LLaMA-3-70B — High-performance LLM for creativity and reasoning
- Planning Agent: Generates a story outline with characters and setting.
- Writing Agent: Writes chapters (1000+ words each).
- Editing Agent: Edits chapters for flow, grammar, and style.
- Fact-Checking Agent: Verifies real-world references.
- Publishing Agent: Produces the final formatted manuscript.
Each task runs in sequence and contributes to a comprehensive output.
crewai
langchain
langchain_groq
numpy