Rapid AI prototypes
Turn a workflow idea into an interactive proof of concept before investing in a conventional application.
Independent tool overview
Opal at a glance
Opal is an experimental Google Labs builder for creating, editing, remixing, and sharing multi-step AI mini-apps with natural language and a visual workflow editor.
Visit the official Opal site ↗
- Developer
- Google Labs
- Best for
- No-code AI workflow prototypes
- Editing
- Natural language and visual nodes
- Access
- Personal Google Account, age 18+
Overview
What Opal is
Google Opal turns a plain-language app idea into a visual sequence of prompts, model calls, and tools. Creators can refine that sequence conversationally or edit its nodes directly, preview the result, and publish a small interactive app without writing conventional application code.
Opal also powers Gems from Google Labs in the Gemini web app. Those workflows can combine text, image, video, and music models, and users can start from Google's gallery or remix an existing mini-app. It remains a Google Labs experiment, so it is best suited to prototypes and personal workflows rather than business-critical production software.
Use cases
Who Opal is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Reusable personal workflows
Bundle repeated prompting and multimodal generation steps into a one-click mini-app.
Nontechnical creators
Build and refine a multi-step experience with descriptions and a visual graph instead of source code.
Capabilities
Core Opal features
Natural-language app creation
Generates an initial mini-app and its workflow from a written description.
Visual workflow editor
Shows the app as editable steps that connect prompts, models, and tools.
Conversational editing
Lets creators request changes in plain language instead of manually updating every node.
Multimodal workflows
Gems from Google Labs can use multiple model types, including text, image, video, and music generation.
Gallery and remixing
Provides premade mini-apps that can be copied and adapted to a different workflow.
Share controls
Supports private access, specific recipients, link sharing, or public availability for eligible apps.
Process
How the Opal workflow works
Step 1
Describe the outcome
Explain the mini-app or custom workflow you want Opal to create.
Step 2
Inspect the generated steps
Review the prompts, models, tools, and interface that Opal assembles.
Step 3
Refine the app
Request changes conversationally or open the advanced visual editor for direct control.
Step 4
Test and share
Run the app, check its output, and choose private, recipient, link, or public access.
Cost
Opal pricing and free plan
Google does not list a separate paid Opal subscription. Access is provided as a Google Labs experiment through Opal and Gems from Google Labs for eligible personal Google Accounts, with experimental availability and usage limits that can change.
Google Labs experiment
No separate price listed
Create and run eligible Opal mini-apps with a personal Google Account.
- Age 18 or older
- English-language web experience
- Desktop required to create and edit in Gemini
- Not available to work or school accounts
Pricing checked . Check current pricing at the source ↗
Assessment
Opal strengths and limitations
Where it stands out
- Makes multi-step AI workflows understandable through a visual graph
- Supports natural-language creation and detailed node-level editing
- Can combine several types of generative media in one reusable workflow
- Provides gallery templates and simple sharing for fast experimentation
What to consider
- Opal is explicitly experimental, so features, limits, and availability may change
- Google's current Gemini help limits creation to adults using personal accounts, English, and desktop web
- It is not a full production application stack with conventional backend, deployment, and testing controls
- Opal data is handled separately from Gemini Apps Activity and stored in an Opal folder in Google Drive
Compare
Opal alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Coding
Google AI Studio Build
Choose Google AI Studio Build for a more code-oriented Gemini app-building environment.
Explore Google AI Studio Build →Coding
Lovable
Choose Lovable when the goal is a deployable database-backed website or web application.
Explore Lovable →Business Operations
n8n
Choose n8n for operational automations with extensive app integrations and self-hosting options.
Explore n8n →Questions
Opal FAQs
What is Google Opal?
Opal is a Google Labs experiment that creates shareable AI mini-apps by chaining prompts, models, and tools in a visual workflow.
Do I need to code to use Opal?
No. You can create and edit a workflow with natural language, though an advanced visual editor provides more direct control over its steps.
Is Opal part of Gemini?
Opal powers Gems from Google Labs inside the Gemini web experience, but Google states that Opal itself is a separate Labs experiment and its data is not governed by Gemini Apps Activity.
Can I share an Opal mini-app?
Yes. Current sharing choices include private access, specific email recipients, anyone with the link, and public access.
Can a Google Workspace account use Opal?
Google's current help page says Gems from Google Labs are not available to work or school accounts; an eligible personal Google Account is required.
Bottom line
Our Opal verdict
Opal is one of the easiest ways to demonstrate a multimodal AI workflow as a small interactive app. It is compelling for prototypes, education, and personal productivity, but its experimental status and account restrictions make a production app builder or automation platform a better choice for durable business systems.
Visit Opal website ↗Similar Coding Tools
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