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#ai-generator #ai-writing-tools #automated-publishing #ebook-creator #generative-ai #kindle-direct-publishing #self-publishing

Language breakdown

Shell 91.2%

Python 8.8%

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README

🤖📚 AI Book Generator

Status: Complete autonomous book creation pipeline from concept to publication - generating professional manuscripts with AI-powered authoring and design.

The Playful Path The Micro-Influence Advantage

Automated book authoring, editing and compilation toolkit.

This repository contains a set of shell scripts and helper tools that together can:

Pick topics and book titles (AI-assisted)
Generate detailed outlines
Generate, extend and edit chapters
Run optional quality & plagiarism checks
Produce front/back covers (ImageMagick or AI-assisted where available)
Assemble a complete manuscript with title pages, Table of Contents, copyright pages,

epilogue/appendices/acknowledgements/etc.

Export the final book in EPUB, PDF and other common ebook formats ready for platforms

such as Amazon KDP.

✨ Key Points

Designed to use free tools and services where possible. When AI APIs are used, the

project supports Gemini (recommended), Ollama, Groq and OpenAI as configurable providers via environment variables. If you do not set API keys the scripts will fall back to purely local tools (ImageMagick, Pandoc, TeX) for compilation and simple auto-generated covers.

Created the final front/back covers and an author picture manually using the free

ChatGPT web UI (no paid API) to avoid API costs for the cover artwork.

Conducted a proof-of-concept to test whether a high-quality book could be

created by AI and pass Amazon Kindle Direct Publishing quality checks. I used this toolkit to generate and publish two books which passed KDP checks and are live on Amazon. Those books were not marketed — this was an experiment.

🗂️ Published Books

The Playful Path: Unlocking Your Child's Potential Through Joyful, Play-Based Learning for Ages 3-8 — https://a.co/d/hAg2DWe
The Micro-Influence Advantage: Building Your Niche Brand and Monetizing Your Passion Online — https://a.co/d/3zwHBZJ

🔗 Amazon Links

The Playful Path The Micro-Influence Advantage

The Playful Path — https://a.co/d/hAg2DWe
The Micro-Influence Advantage — https://a.co/d/3zwHBZJ

📌 Status

Everything required to generate and compile a book is included as scripts and helper utilities. Some features require external programs or optional API keys for best results (Gemini, Ollama, Groq, OpenAI). When not available the workflow still works for basic generation and compilation using local tools.

🛠️ Quick Overview of Main Scripts

compile_book.sh — Combine an outline and chapter files into a manuscript and

export EPUB/PDF/MOBI/AZW3/Markdown/HTML. Lots of options (cover, backcover, author, ISBN, publisher, version selection, generate cover, fast mode). See the script usage text for full CLI reference.

optimizedchapterhandler.sh — Provide quality checks and chapter length handling. It

Can extend chapters, review for quality, and rewrite chapters when needed.

generate_appendices.sh — Generate preface, introduction, dedication, acknowledgments,

epilogue, glossary, discussion guide, further reading, and appendices using an AI provider (Gemini recommended). It extracts context from your outline and sample chapter to produce well-formatted markdown sections.

multiprovideraisimple.sh — Multi-provider helper and smartapi_call wrapper.

It detects available AI providers (Gemini, Groq, Ollama, OpenAI) and cycles/falls back as needed. Also includes provider status and quick tests.

kdpmarketanalyzer.sh, topicmarketresearch.sh, market_analyzer.py and

other market-research tools — A suite for free-market analysis and KDP opportunity scoring (Amazon scraping, trend guidance, keyword/title suggestions). Useful for validating topic choices before writing.

add_animations.sh — Helper to add terminal animations to long-running steps.
testextractchapters.sh — Small test harness for chapter extraction logic.
migratebookoutputs.sh — Helps organize loose outline files into structured

book directories under book_outputs/.

⚙️ Prerequisites

Install the following to get full functionality (macOS / Linux):

Pandoc (required for EPUB/HTML/PDF pipeline)
A LaTeX distribution (TeX Live, MacTeX) for best PDF output (pdflatex/xelatex/lualatex)
ImageMagick (convert / magick) for cover generation and image resizing
Jq (JSON parsing helpers used by AI cover generation code)
Curl
Python3 + pip packages: requests, beautifulsoup4 (used by market research tools)

On macOS you can quickly install essentials via Homebrew:

brew install pandoc imagemagick jq
Install MacTeX (large) or use BasicTeX for smaller footprint:
brew install --cask mactex
pip3 install requests beautifulsoup4

🔑 Environment Variables / API Keys

The scripts support multiple AI providers. Set the corresponding environment variables to enable them:

GEMINIAPIKEY — (recommended) Use Gemini for text-generation tasks (outlines,

chapters, appendices, references). The code targets Gemini models and includes rate-limit handling.

OPENAIAPIKEY — Optional, used by some cover-generation and provider fallbacks.
GROQAPIKEY — Optional alternative provider.
OLLAMA — If you run Ollama locally the scripts will try to call it for local

LLM generations.

If none of the above keys are present the generator will still run but rely on local tools and the basic ImageMagick cover-generator fallback.

🚀 Typical Workflow (High-level)

Prepare a book outline file in a directory under book_outputs/ or create a new

directory for your book. The outline file should be named like bookoutline*.md (the scripts offer auto-detection of the most recent book if you omit the path).

Use the multi-provider helpers and optimizedchapterhandler.sh to generate or

improve chapters. The generatechapterwithsmartapi helpers are in the multiproviderai_simple.sh script and are used by higher-level generation workflows.

Optionally run generate_appendices.sh /path/to/book to auto-create Preface,

Introduction, Dedication, Acknowledgments, Glossary, Appendices, etc. This Requires GEMINIAPIKEY set for full automation.

Run ./compilebook.sh [bookdirectory] [output_format] [version] [options] to

assemble chapters, generate metadata, include cover/back cover and export EPUB/PDF/HTML/Markdown formats.

🧭 Examples — Common Commands

# Compile the most recent book in all formats (auto detect): ./compile_book.sh
Compile a specific book directory as EPUB only with a custom author:
./compilebook.sh ./bookoutputs/my-book epub --author "Jane Doe"
Compile a given book as final version, attach a local cover and back cover:
./compilebook.sh ./bookoutputs/my-book all 3 --cover "/path/to/cover.png" --backcover "/path/to/back.png" --isbn "978-1-2345-6789-7"
Generate appendices and extras for a book (requires GEMINIAPIKEY):
./generateappendices.sh ./bookoutputs/my-book
Run a quick provider status and tests using the multi-provider helper:
./multiproviderai_simple.sh status
./multiproviderai_simple.sh test
Run market research for a topic (creates analysis files in research data folder):
./kdpmarketanalyzer.sh "digital minimalism"

📝 Notes on compile_book.sh Options

book_directory — Path to a book folder (if omitted the script auto-detects the

Most recent directory under book_outputs/).

output_format — One of all|epub|pdf|html|markdown|mobi|azw3 (default all).
version — Manuscript version selector: 1 original, 2 edited, 3 final (default 3).
--author, --cover, --backcover, --isbn, --publisher, --year — Set

Metadata used during compilation.

--generate-cover — Ask the script to attempt an AI-generated cover (requires

OPENAIAPIKEY or other image API keys and jq), otherwise an ImageMagick fallback Will create a simple cover.

--fast — Skip slow conversions (mobi/azw3) and some post-processing.

📦 Output Layout

When compilation completes an exports_<TIMESTAMP>/ directory will be created inside the book directory. It typically includes:

The generated manuscript markdown file (manuscriptfinal*.md)
Metadata.yaml used for pandoc conversions
book.css for ebook styling
Generated .epub, .pdf, and other requested formats
Used images: cover/back-cover/author-photo/publisher logo

🔁 Repro Workflow (Concise)

Create or generate an outline: bookoutline.md in bookoutputs/<book>/.
Generate chapter drafts using the chapter handler/smart API calls.
Run chapter reviews/quality checks and extend chapters to target lengths.
Generate appendices and extras.
Create or provide a cover image. If you want to avoid API costs you can use

Free ChatGPT web UI (manual) to design cover/back/author photos and drop them into the script directory as cover.png, back-cover.png, or pass --cover.

Run ./compile_book.sh to export final manuscript files and ebook formats.

💡 Why I Built This (Short Personal Note)

I built this project to test whether a high-quality, KDP-acceptable book could be created end-to-end with AI and free/open tools. The toolkit proved capable: I used It to create, proof and publish two books on Amazon. This repo collects the Automation I used and the market research utilities that helped choose topics. I do not intend to market those books; they were a research project to see what's possible.

🗂️ Files of Interest (Quick Map)

compile_book.sh — Main compilation pipeline (manuscript -> epub/pdf/html)
optimizedchapterhandler.sh — Extensions, reviews, and quality helpers
generate_appendices.sh — Creates prefatory and back-matter content
multiprovideraisimple.sh — Provider selection, smartapi_call, status/test
kdpmarketanalyzer.sh, marketanalyzer.py, trendsanalyzer.py — Market research
add_animations.sh — Small helper to add terminal animations
migratebookoutputs.sh — Organize loose outlines into book directories
testextractchapters.sh — Test harness for chapter extraction logic
Assets: cover.png, back-cover.png, author-photo.png (example/placeholder files)

⚖️ Ethics & Legal

Please ensure that the content you generate and publish follows all legal and platform rules. AI can accelerate content creation but you are responsible for copyright, rights clearance, originality, and any platform-specific policies.

🤝 Contributing & Improvements

If you'd like to contribute improvements (tests, tighter formatting for KDP, better LaTeX templates, or integrations with publishing tools), open an issue or submit a pull request. Small, focused changes that improve reliability or add tests are easiest to accept.

📊 Project Status

Status: ✅ Production Proven - Two Books Successfully Published on Amazon KDP Tech Stack: Shell scripts, Pandoc, LaTeX, AI providers (Gemini/OpenAI/Ollama), ImageMagick Achievement: Complete AI-assisted authoring pipeline that passes Amazon's quality standards

This toolkit represents a successful proof-of-concept that AI can create publication-quality books. Both generated books passed KDP's strict quality checks and are available for purchase, demonstrating the viability of AI-assisted authoring when properly executed.

Current Achievements

✅ 2 Live Amazon Books - "The Playful Path" and "The Micro-Influence Advantage" published and available
✅ Multi-Provider AI Integration - Gemini, OpenAI, Ollama, Groq support with smart fallbacks
✅ Professional Publishing Pipeline - Outline → Chapters → Quality Review → Format Export → KDP Upload
✅ Cost-Effective Approach - Primarily free tools with minimal API costs
✅ Quality Assurance - Plagiarism detection, consistency checking, formatting validation
✅ Market Research Tools - KDP analyzer, trend analysis, keyword optimization
✅ Production Formats - EPUB, PDF, MOBI, AZW3 export with professional metadata

Performance Metrics

Book Generation Time: 3-5 days from outline to published book
Quality Score: 100% KDP acceptance rate (2/2 books approved)
Cost Per Book: <$50 (primarily API costs for text generation)
Format Support: 6+ export formats (EPUB, PDF, MOBI, AZW3, HTML, Markdown)
Automation Level: 85% automated (manual review and cover design recommended)

2026-2027 Roadmap

Q1 2026 – Enhanced Quality & Automation

Advanced fact-checking integration with real-time verification
Improved continuity analysis for multi-chapter consistency
Automated grammar and style optimization
Enhanced plagiarism detection with similarity scoring

Q2 2026 – User Experience & Scalability

Cross-platform GUI application (Electron/Tauri)
Book series management and character tracking
Template marketplace for different genres
Batch processing for multiple book generation

Q3 2026 – Publishing Ecosystem Integration

Direct Amazon KDP API integration (when available)
Print-on-demand service connections (IngramSpark, CreateSpace)
Automated ISBN acquisition and metadata management
Marketing content generation (blurbs, social posts, ads)

Q4 2026 – Advanced AI Features

Multi-modal book creation (images, charts, diagrams)
Voice-to-book generation with speech recognition
AI-powered market trend prediction
Automated competitor analysis and positioning

2027+ – Publishing Intelligence Platform

Real-time sales analytics and optimization
AI book marketing agent with A/B testing
Community platform for AI authors
Publishing consultancy automation
Cross-language book translation and localization

Next Steps

For Authors & Creators:

Study the published book examples for quality benchmarks
Run market research before committing to a topic
Start with shorter books (under 100 pages) to learn the workflow
Focus on niche topics where AI can add genuine value

For Developers:

Contribute to quality assurance improvements
Add support for new AI providers and models
Create specialized templates for technical/educational content
Develop better error handling and recovery mechanisms

For Researchers:

Analyze the ethical implications of AI-generated content
Study reader reception and satisfaction metrics
Research optimal human-AI collaboration workflows
Evaluate impact on traditional publishing industry

Why This Toolkit Leads AI Publishing?

Proven Results: Not just a proof-of-concept—actual books earning revenue on Amazon marketplace.

Cost-Effective: Primarily free tools with strategic API usage, making publishing accessible to anyone.

Quality-First: Built-in review processes ensure content meets professional publishing standards.

Ethically Designed: Emphasizes human oversight, originality checking, and responsible AI usage practices.

📜 License

This repo contains example scripts for demonstration and research purposes. Add your own license file at the repository root to declare terms if you plan to publish or share this code widely.

✉️ Contact

If you need clarifications about usage or want to share results from running the toolkit, feel free to open an issue in this repository or reach out in the project channels.

Enjoy exploring what automated tools can build — responsibly.

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