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Google updates Flow and Flow Music with Gemini Omni Flash support, mobile apps, the ability to create custom tools like a video resizer or shaders, and more

Google Flow's family of products gets agentic updates, mobile apps and the Omni Flash treatment.

CNET Macy Meyer

Context & Ripple Effects

Google has been progressively moving Gemini Flash from a developer-facing multimodal model line toward products that can act across apps and automate multistep work. The related coverage spans Flash API releases and Workspace Flows, which positioned Gemini as an execution layer rather than only a chat interface.

The recent Gemini Intelligence rollout added task automation and user-created Android widgets to that direction. Extending similar capabilities to Flow and Flow Music connects those products to Google’s broader push to make AI features configurable by end users.

First-order effects

  • Flow and Flow Music users gain Gemini Omni/Omni Flash support, mobile access, and the ability to build task-specific utilities such as video resizers and shaders.
  • Google makes Flow more than a fixed set of generation features: users can adapt the product’s workflow to particular creative or production needs without waiting for a dedicated built-in feature.

Second-order effects

  • Custom-tool creation can shift more workflow design from Google’s product roadmap to users, increasing the practical value of Flow for teams whose needs are too narrow for standardized features.
  • Mobile availability and faster Flash-family model support lower friction for using Flow within ongoing work, reinforcing Google’s incentives to connect its Gemini capabilities across more surfaces.

Third-order effects

  • If this pattern continues, differentiation in AI products will increasingly rest on workflow integration, user configurability, and cross-device access—not solely on access to a model.
  • Google’s product line is converging on agentic software that lets users assemble lightweight automations and interfaces around Gemini; the durability of that shift will depend on whether those tools are reliable enough for repeatable work.

The trend: This is one step in the shift from standalone generative-AI features toward configurable, agentic workflow products distributed across Google’s apps and devices.

Discussion

  • @google @google on x
    Now in @FlowByGoogle, you'll be able to use the full potential of Gemini Omni Flash, our model that can create anything from any input, starting with video. With a simple prompt and style reference, Gemini Omni allows you to transform the environment of an existing scene, add [vi…
  • @flowbygoogle @flowbygoogle on x
    Introducing your agent and the all-new Gemini Omni model in Google Flow. #GoogleIO ✨ Think of your agent as a creative partner. It reasons through complex tasks and helps you brainstorm, create, and edit, all while under your direction. ⚡ Gemini Omni is where Gemini's [video]
  • @flowbygoogle @flowbygoogle on x
    The full potential of Gemini Omni for creatives, unlocked in Google Flow. ⚡️ Gemini Omni is a model that understands the world, can create videos from text, image and video inputs, and lets you shape the result through natural conversation. It allows you to blend real-world
  • @flowbygoogle @flowbygoogle on x
    Next-level prompt adherence and text rendering, all with deep world understanding. Try Gemini Omni Flash today at https://flow.google/
  • @googledeepmind @googledeepmind on x
    Google Flow 🤝 Gemini Omni Create more cinematic stories with our latest model, which brings batch editing, improved character consistency and more. Here's what else is new for @FlowbyGoogle → https://blog.google/... #GoogleIO [video]
  • @googlelabs @googlelabs on x
    Happy anniversary, @FlowbyGoogle! From text-to-video to Omni, agent, and Tools - what a ride it has been. 🚀 Keep pushing the boundaries! On to year two. ⚡