Google Cloud Next: agents, prompts, and the push to operational AI

At Google Cloud Next 2025, the focus wasn’t just on new models — it was on structure. Across their announcements, Google made a clear statement: AI is maturing from a tool to a system.

For Flux, the biggest developments came in agentic infrastructure. Google’s new Vertex AI Agent Builder and Agentspace platforms aim to support multi-agent workflows — where models talk to each other, make decisions, and complete tasks across tools and data sources. The new Agent2Agent protocol underpins this, enabling models to coordinate rather than simply respond. It’s early, but it’s a clear nod toward AI systems that resemble orchestration more than chat.

This theme carried through to Gemini 2.5, Google’s latest flagship model which has been well received by AI communities . The Pro version offers a 1 million-token context window and is tuned for complex reasoning and coding; Flash is its faster, lower-cost sibling for real-time applications. Other model updates — like Veo 2 (video generation with inpainting and camera control) and Lyria (text-to-music) — push the boundaries of creative AI, though their enterprise use cases are still forming.

On the tooling side, Gemini Code Assist is now embedded in Android Studio, offering real-time coding help and documentation support. And the Application Design Center introduces a more visual approach to deploying apps, with templates and collaboration features baked in.

Also notable: Google dropped a practical Gemini Prompting Guide — a 45-page handbook designed for Workspace, but applicable well beyond. It reinforces prompting as a design discipline, breaking it into four elements: persona, task, context, format. It’s a small but important step toward making prompting systematic and repeatable, especially inside teams.

Why it Matters

Taken together, the announcements point to a shift: less emphasis on novelty, more on making AI usable at scale — for coding, content, search, or support. For teams building systems like Flux, it’s a nudge to think more in terms of agents, interfaces, and workflows — not just models.