Build AI Agents with Flowise
Build Visual AI Agents with Flowise and No-Code ToolsBy Cyrus Fontaine
Length8h
About this audiobook
Build AI agents no-code Flowise visual blocks LLM chatbots automations. Create powerful AI workflows without writing a single line of code. This project-based guide teaches you to assemble working LLM agents, chatbots, and automations by connecting blocks visually. Starting from the basics, you'll learn to set up Flowise, design conversation flows, integrate APIs, and deploy production-ready AI solutions. Each chapter builds on the last, with hands-on projects that include a customer support chatbot, a document analysis agent, and a multi-step automation pipeline. You'll master prompt engineering, memory management, tool integration, and error handling—all through a visual interface. By the end, you'll be able to prototype and launch custom AI agents for any business need. Whether you're a beginner or an experienced developer, this book turns complex AI concepts into accessible, visual building blocks. [placeholder] and [placeholder] have written on similar topics, but this book focuses exclusively on the no-code, visual approach with Flowise.What You'll Learn
• Set up Flowise and navigate its visual interface
• Design and deploy LLM agents for real-world tasks
• Build chatbots with memory and context
• Create automations that connect multiple AI models
• Integrate external APIs and data sources
• Optimize prompts and manage model outputsWho This Book Is For
No-code enthusiasts, entrepreneurs, product managers, and developers who want to build AI agents without coding. Perfect for beginners and professionals seeking a visual, project-based learning path.
Audiobook details
GenreTechnology
Length8 hrs
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateSep 30, 2026
LanguageEnglish
Table of contents
1Preface
2Chapter 1 — Why AI Agents Matter (and Why You Can Build One Today)
3Chapter 2 — Your First Agent in 30 Minutes
4Chapter 3 — Flowise close look: The Visual Builder Unpacked
5Chapter 4 — LLMs Unpacked: Choosing and Configuring the Brain
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6Chapter 5 — Designing Conversations: Prompts, Context, and Tone
7Chapter 6 — Feeding Your Agent Knowledge: Data Sources and Chunking
8Chapter 7 — Building the FAQ Bot (Part 1): Core Logic and RAG
9Chapter 8 — Adding Memory: Making Your Agent Context-Aware
10Chapter 9 — Handling Errors and Edge Cases Gracefully
11Chapter 10 — Automating Business Tasks: From Answers to Actions
12Chapter 11 — Integrating with External Tools: APIs and Webhooks
13Chapter 12 — Building the Customer Support Agent (Part 2): Multi-Turn Conversations
14Chapter 13 — Advanced Agents: Decision Trees and Conditional Logic
15Chapter 14 — Deploying Your Agent: Web, Slack, Email, and More
16Chapter 15 — Monitoring and Improving Performance
17Chapter 16 — Testing and Quality Assurance for AI Agents
18Chapter 17 — Scaling and Collaboration
19Chapter 18 — Future-Proofing: Trends, Ethics, and Next Steps
20About the Author
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