A comprehensive step-by-step summary of how to use Google Opal, the AI-powered workflow builder, to automate tasks and create applications without coding.
01 Introducing Google Opal
The video introduces Google Opal, an AI tool that allows users to build their own apps to automate daily routines and workflows by just describing what they need.02 Focus on App Building
The tutorial focuses on building a complete AI app using Google Opal, emphasizing the automation of repetitive tasks in minutes.
03 Opal: A "Software Genie."
Google Opal is described as Google Labs' AI workflow builder, acting like a "software genie" that builds complete apps from plain English descriptions, requiring no coding skills and being completely free.
04 Demonstrations
The tutorial outlines two main demonstrations: building a simple app and then a complex one for automatically generating videos using Google VEO.
05 Navigating the Opal Website
The tutorial begins on the Opal website, displaying existing "Your Opal apps" and a "Gallery" of apps created by the Opal team.
06 Using Templates
An existing app ("Book Recs") is selected to show how it was built, allowing users to view its workflow and copy it as a template.
07 Initiating New App Creation
The process of creating a new app from scratch is initiated by clicking "Create new," which leads to the editor page.
08 The Editor Interface
The editor page is introduced, highlighting two key areas: the objects bar at the top (User Input, Generate, Output, Add Assets) and the prompt box at the bottom for describing the app.
09 First App Prompt: Blog Post Creator
The first app to be built will automate the creation of blog posts, where the user will paste a prompt: "I want an app that takes a topic and generates an informative, well-structured blog post along with a banner image."
10 Opal Translates Prompt
After entering the prompt, Opal begins to work, translating the generic instruction into a detailed workflow within seconds.
11 Generated "Blog Post Creator" Workflow
The completed "Blog Post Creator" app workflow is displayed, having taken less than one minute to generate. The workflow is separated into distinct nodes for different tasks.
12 Preview and Run App
The app's preview panel on the right allows users to change the app's name and description before running it.
13 Inputting a Topic
The app is started, leading to an input page where the user is asked to provide a topic for the blog post. An animation on the "Get topic" node indicates it's running.
14 Specific Blog Post Request
A specific request is pasted: "Generate an article explaining whether the U.S. stock market is currently in a bubble, including key indicators, recent trends, and the factors driving market valuations."
15 Workflow Node Execution
As the app processes, individual nodes in the workflow are highlighted, showing their execution.
16 "Get Topic" Node Details
The "Get topic" node is detailed as a simple input node with a customizable message text.
17 Workflow Connections
The connected lines indicate the direction and dependencies of the workflow, and users can easily create or modify connections by clicking and dragging.
18 "Do Research" Node Functionality
The "Do Research" node is shown as a more complex workflow step. It receives topic information and uses the Gemini 2.5 Flash model with a specific prompt created by Opal to plan and execute research.
19 "Write Outline" & Model Integration
The "Write Outline" node receives the research result, uses a prompt to guide the Gemini 2.5 Flash model, and opens a model selection tab to show Opal's integration with Google's ecosystem and various models (chat, image, video, music generators).
20 "Generate Banner" Node
The "Generate Banner" node receives the outline as input and uses the Nano Banana model to create the banner image.
21 "Write Post" Node
The "Write Post" node receives the outline and actually writes the post text.
22 Final Output Node
Both the "Generate Banner" and "Write Post" nodes connect to the final "Display Blog Post" node, which is a simple output node defining how the information is displayed, supporting various output types like webpages, Google Docs, Sheets, or Slides.
23 Completed Blog Post
The final generated blog post is displayed, featuring a well-structured article with multiple sections and a custom-generated banner image fitting the topic.
24 Speed of Generation
The video highlights that the entire process, from prompt to finished product, can happen in minutes, depending on app complexity.
25 Easy Sharing Features
The sharing feature is demonstrated, where one click on the "Share" button generates a public link, allowing anyone to use the AI app from their own Google account without servers, hosting, or complicated deployment.
26 Showcasing Complex App: Video Generator
The video transitions to showcase a complex app, a "Short Video Generator," capable of generating full short videos using Google VEO for videos, AudioLM for voice-overs, and Lyria-2 for soundtracks.
27 Complex Workflow Generation
The complex workflow for the "Short Video Creator" is shown, noting it was generated from a complex prompt in one go.
28 Video Generation Limitations
A limitation of a "very limited free quota" for video generation in the experimental mode is mentioned, but the potential is highlighted.
29 Short Video Creator Workflow Breakdown
The "Short Video Creator" workflow is broken down: it includes two input nodes (Video Topic, Related Text), a "Perform Deep Research" node using Google's capabilities, and several nodes to generate video information (metadata, title, SEO keywords, description).
30 Media Generation Nodes
The workflow then generates prompts for creating the video, speech, and soundtrack, using Google VEO, Google AudioLM, and Lyria-2, respectively, for the actual media generation.
31 Thumbnail Generation
The thumbnail for the video is generated using Google Image 4.
32 Opal's Massive Potential
The video concludes by emphasizing Google Opal's massive potential as a no-code tool, lowering the barrier for creating AI-powered tools and turning anyone with an idea into a builder.
33 Experimental Status & Availability
It reiterates Opal's experimental status from Google Labs and its global availability in over 160 countries, inviting viewers to share their ideas in the comments and subscribe.

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