Now in public beta, developers can use Opal to build and remix AI mini apps using conversational natural language commands, a visual editor, or both.
Google Labs has announced the public beta of Opal, an experimental tool for building AI mini apps by chaining together prompts, tools, and models, using natural language and visual editing.
Currently available in the United States only, Opal was introduced July 24. The tool can be used to accelerate prototyping of AI ideas and workflows, demonstrate a proof of concept, or build custom AI applications to boost productivity. Opal is billed as an experimental product exploring the future of building with AI models and prompts. The beta release includes a demo gallery with starter templates that can be used as-is or remixed to fit specific needs.
Opal lets developers bring prompts to life with no code required, according to Google Labs. The tool helps simplify workflows, empowering users to build multi-step apps by chaining together prompts, AI model calls, and other tools. Developers simply describe the logic, and Opal will build a visual workflow. Opal also translates instructions into visual workflows for editing, providing fine-grained control without the need to review a line of code.
Developers can build and remix AI mini apps using conversational natural language commands, a visual editor, or a combination of both. To tweak a step’s prompt, add a new feature, or call a tool, users can edit in the visual editor or describe the exchange. When an app is ready, it can be shared immediately on a personal Google account.
