Book Writing AI Agent

📚 Book Writing AI Agent

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.

---

Project Overview

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.

---

Tech Stack

• 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

---

How It Works

1. Planning Agent: Generates a story outline with characters and setting.
2. Writing Agent: Writes chapters (1000+ words each).
3. Editing Agent: Edits chapters for flow, grammar, and style.
4. Fact-Checking Agent: Verifies real-world references.
5. Publishing Agent: Produces the final formatted manuscript.

Each task runs in sequence and contributes to a comprehensive output.

Requirements

crewai
langchain
langchain_groq
numpy