Site for the book Effective Conversational AI, published at Manning.com (April 2025). This is a sequel to the Conversational AI book written with Manning Publications and published in Fall 2021.

Effective Conversational AI is co-authored by Andrew Freed, Cari Jacobs, and Enikõ Rózsa. The theme is improving your Conversational AI solution through traditional data science/software engineering methods as well as using Generative AI and large language models (LLMs). Purchase Effective Conversational AI using discount code ECAIFREED45 at Manning.com to get 45% off the book in all formats (code is valid until January 1, 2026).

Effective Conversational is planning the following table of contents (subject to change during the authoring process):

Part 1 – Framework for improving Conversational AI

• Chapter 1. Introduction to Improving Conversational AI
• Chapter 2. Building a Conversational AI
• Chapter 3. Strategies for Effective Improvement Plan

Part 2 – Pattern: AI doesn’t understand

• Chapter 4. Understanding what your users really want
• Chapter 5. Improving weak understanding
• Chapter 6. Generate answers with Retrieval Augmented Generation
• Chapter 7. Augmenting intent data with Generative AI

Part 3 – Pattern: AI is too complex

• Chapter 8. Streamlining complex flows
• Chapter 9. Using the right context
• Chapter 10. Review & generate dialog flows with Generative AI

Part 4 – Pattern: Reduce friction

• Chapter 11. Reducing Opt-Outs
• Chapter 12. Conversational Summarization for smooth handoff

This repository includes code samples from the book. Use the LiveBook forum at Manning to submit comments and questions.

For the original Conversational AI book, you can get the book at Manning or look at its code from its GitHub.