Building AI Apps with Google Opal: A Guide to Google's Experimental No-Code Application Building Software
Reece Calder
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Master no-code AI app building with Google Opal - the definitive guide to building AI apps without coding using prompt-to-app workflows and Gemini-powered nodes. Tired of relying on engineers to build the tools you need? Building AI Apps with Google Opal shows product managers, creators, and citizen developers how to design, test, and publish production-ready AI applications using Google's experimental visual platform. Learn the practical, step-by-step methods for creating no-code AI app builders, visual node-based workflows, and prompt-to-app systems that scale - all without writing traditional code. Inside this book you'll find:
Hands-on projects - three complete walkthroughs (Content Repurposer, Visual Storyteller, Personal Analyst) that teach real workflows you can deploy today.
Practical prompt engineering - how to craft reliable prompts for Gemini and chain nodes into safe, repeatable automation.
Production techniques - testing with the preview pane, managing latency and token budgets, and publishing shareable Opal links for teams.
Integration & scale - connecting Opal to Google Drive, Docs, Sheets, and enterprise workflows for business automation.
Whether you need an AI automation for marketing, a rapid prototype for product validation, or a reusable internal tool, this book gives you the mental models and templates to move from idea to published app in minutes - not months. It's ideal for non-programmers and developers alike who want to adopt a practical, repeatable approach to building AI applications using visual, node-based tools. What readers are saying: Clear, pragmatic, and future-facing - perfect for teams that want to democratize AI development. Ready to build your first Opal app? Grab your copy now and start converting prompts into production workflows that actually deliver results.
Book Details
Publisher: Independently Published
Publish Date: Dec 13rd, 2025
Pages: 138
Language: English
Edition: undefined - undefined
Dimensions: 10.00in - 7.00in - 0.30in - 0.56lb
EAN: 9798278595939
Categories: • Languages - General• Software Development & Engineering - General