TEMPO.CO, Jakarta – Google has once again made an advance in artificial intelligence (AI) by integrating its experimental “Opal” project into the web version of Gemini. This step enables regular users to create AI-powered mini-apps using natural language commands or prompts.
This innovation is expected to simplify the software development process, which has long been considered complex. AI enables anyone skilled in using prompts to design mini-scale applications for learning purposes.
According to Android permissionsTechnically, Opal works by combining prompts, large language models (LLMs), and various tools in one integrated ecosystem. Google designed this system to process natural instructions and translate them into application logic that executes in real time. It's like having a personal development assistant ready to turn your ideas into reality.
One of the key updates Google brings with this integration is enhancements to Opal's visual editor. Added a new interface that automatically converts user instructions into a structured list of steps. This feature is claimed to make it easier for users to check the mini-application's workflow and edit any inaccurate functionality.
How to access Opal features
To use this feature, users simply open the menu in the top right corner of the Gemini page and select the “Gems” option. There you'll see a list of ready-to-use mini-apps created by Google Labs.
However, Google emphasizes that Opal is not part of the standard Gemini Apps package, so its activity data is treated differently. The data generated when using this tool is not visible in Gemini Apps activity and is independent of Google Workspace's privacy terms.
The Opal project was first announced as part of the Google Labs initiative last July, but its integration into Gemini is just beginning. This announcement means that the technology, although still labeled as experimental, has been deemed mature enough to be tested by a wider range of users.
For Android users and the rest of the Google ecosystem, Opal's presence could mean access to more personalized digital solutions in the future. For example, this might be used by a teacher creating a specific history class quiz app for students, or a home cook designing an automated recipe converter app.
However, we encourage users to continue to exercise caution and understand the limitations of AI-powered apps. Because application logic is machine-generated, it is not always perfect and may be bug-free.
read: Introducing Gemini AI to Google Translate for smarter translations
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