Google Labs just introduced an agent step to Opal, upgrading its workflow builder from static model calls to dynamic agency. The agent autonomously selects the right tools and models (like Search or Veo) for the job, remembers preferences across sessions, dynamically routes logic, and can stop to ask follow-up questions when it needs clarification. It gives builders the flexibility of an agent without losing control over the pipeline.
Google Labs just expanded Opal, its no-code AI mini-app builder, from 15 countries to over 160 worldwide. The tool lets anyone build multi-step workflow automations, custom content generators, and quick MVPs without writing code. Basically, turning loose ideas into custom AI productivity tools is now accessible to almost anyone.
Google just rolled out Opal, its no-code AI mini-app builder, to 15 new countries including Canada, India, and Japan. The update also brings visual step-by-step debugging with real-time error tracking, faster app startup, and parallel execution for complex workflows. Why it matters: Google is making it significantly easier for non-coders to assemble and troubleshoot production-ready AI workflows.
Google Labs just launched Opal, an experimental tool that lets you build and share functional AI mini-apps using plain English and visual editing. It chains prompts, models, and tools into multi-step workflows without writing a single line of code. It is currently rolling out in a US-only public beta.
OpenAI is reportedly leading a $60 million Series B round for Opal Camera, the startup behind high-end webcams like the Tadpole. Opal plans to channel the new funds into building consumer-focused AI "creative tools," which could eventually bake in OpenAI's image and video generation models.
