AI · Web app
Google Opal
No-code visual canvas for building AI mini-apps from plain English prompts
Google Opal is an experimental web application from Google Labs that generates multi-step automated workflows and mini-apps using natural language descriptions. It automatically connects generative models, web tools, and user inputs onto a visual node canvas without manual wiring. Note that Google has announced Opal will graduate out of Labs in November 2026 as workflows transition into Gemini skills.
What it's for
- Generate multi-step AI automation pipelines using text or voice prompts
- Build lightweight mini-apps connecting inputs directly to Google Docs or generative models
- Prototype automated research and content generation workflows without managing backends
- Compile visual workflow outputs into interactive web applications
Features
- Prompt-to-workflow generation via text or voice commands
- Visual node-based canvas with User Input, Generate, Output, and Asset blocks
- Deep integration with Google models (including Gemini and Veo)
- Workflow storage directly within Google Drive
- Interactive preview panel to test pipelines immediately
- Sharing capabilities for created mini-apps and workflows
Pricing
Free experimental tool from Google Labs
Details
- Type
- Web app
- Category
- AI
- Topic
- Workflow Automation
- Open source
- No
- Platforms
- Web
- For
- Non-technical creators, marketers, and developers prototyping AI workflows quickly
- Alternative to
- Make, Zapier, n8n, Lovable
- Tags
- automation, no code, google labs, gemini, visual builder, ai agents
Why it was saved
- @nick_saraev: Enables users to connect APIs and generative models like Veo into automated no-code applications without managing backend servers.
- @theinsiders_club: Eliminates complex manual setups in automation tools like Zapier or Make by converting plain English descriptions into runnable node-based workflows directly inside the browser for free.
- @dr.erinjacques: Eliminates the complexity of manually wiring automation tools like n8n or Make.com by automatically designing complete node-based workflows (web scraping, LLM generation, image generation) from a single prompt or voice command.
- @joshualeidy: Creates automated research, content generation, and multi-node processing pipelines in seconds without needing code or complex manual configuration.
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