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CrewAI: Automated Book Writing
Demonstrates how CrewAI coordinates research, outline, drafting, and formatting agents to automatically generate complete book chapters and compile a final PDF manuscript.
Writing Books with CrewAI explores how autonomous AI agents can transform the way we write and publish books. Instead of treating writing as a solitary word-by-word endeavor by an author, CrewAI organizes multiple agents into a coordinated “crew” that handles everything from generating outlines and drafting chapters to compiling a polished manuscript. This talk will walk through the full pipeline, idea to finished PDF, showing how to harness CrewAI’s orchestration, scripts, and binding tools to create long-form works with structure, consistency, and efficiency. You’ll see how writers can step into more of a creative-director role while AI handles the heavy lifting of research, drafting, and formatting. We’ll walk through the key agents and tasks so you may understand the code flows but also how it dovetails with the author’s creative and editorial process to result in a high-quality publication. CrewAI encapsulates and simply handles many details of agent orchestration and we’ll look at some of the challenges faced in employing this technology and how they we’re overcome. You will see research agents feed the writer agents background for their work and in real time, you’ll watch the system generate full, detailed chapters.
Speaker Bio
Dan Hermes is the author of Prompt Power: Learn to Create ChatGPT Prompts, released last month.
He works at the intersection of transformative technology and empowered teams, advancing innovation in Generative AI, Large Language Models, and software development. With a portfolio of books and articles on AI, mobile, and architecture, Dan has contributed to the growth of AI knowledge and its application across industries.
Over the past decade, he has led global software and data teams at companies such as Avanade, an Accenture and Microsoft joint venture, architecting advanced applications for airlines, banks, and municipalities. For more than 20 years, he ran Lexicon Systems, a consultancy serving Microsoft, Fidelity Investments, Thermo Fisher Scientific, DraftKings, and the FAA, delivering tailored AI and software solutions. His thought leadership has appeared in IBM Mobile Business Insights and Microsoft’s MSDN Magazine, and he has spoken at countless developer user groups and venues such as IBM Think and Microsoft Ignite.
Today, Dan leads projects at the forefront of GenAI, LLMs, and AI-driven applications, helping businesses harness AI’s transformative potential to build exceptional products and experiences.