Editor’s note: Want to keep up with the latest from Google Cloud? Check back here for a monthly recap of our latest updates, announcements, resources, events, learning opportunities, and more.

This October, we took massive leaps forward in delivering flexible, open, and powerful enterprise AI solutions. From bringing Gemini 4 Argon to Google Cloud to expanding choice and flexibility, we’re giving organizations the tools they need to bring complex, multi-agent AI workflows into production safely.

Here’s a quick look at the major milestones, expert insights, and practical developer guides to read through and save.

Top announcements

Gemini 4 Argon available on Google Cloud, built to help solve your business’ hardest problems:We trained Argon to work with both depth and precision, which allows it to maintain context across long, multi-step tasks which are reinforced with strong domain expertise along the way. Whether your team is running complex software builds, handling detailed financial and legal work, or deploying cybersecurity tools like CodeMender, Argon helps your teams maintain focus from start to finish.

Gemini 4 Argon available on Google Cloud, built to help solve your business’ hardest problems:We trained Argon to work with both depth and precision, which allows it to maintain context across long, multi-step tasks which are reinforced with strong domain expertise along the way. Whether your team is running complex software builds, handling detailed financial and legal work, or deploying cybersecurity tools like CodeMender, Argon helps your teams maintain focus from start to finish.

Expanding Claude availability and deployment choice on Google Cloud: We announced the general availability of an Anthropic-managed deployment option for Claude Models on Google Cloud. This gives teams more choice in how they run their models, helping them consolidate AI workloads on Google Cloud alongside our existingGoogle-managed deployment option.

Expanding Claude availability and deployment choice on Google Cloud: We announced the general availability of an Anthropic-managed deployment option for Claude Models on Google Cloud. This gives teams more choice in how they run their models, helping them consolidate AI workloads on Google Cloud alongside our existingGoogle-managed deployment option.

Google Cloud expands model choice and flexibility, bringing OpenAI models to customers: Google Cloud is now the only hyperscale cloud provider offering access to all three leading closed source LLMs, alongside more than 200 first-party, third-party, and open models on a unified enterprise AI platform.

Google Cloud expands model choice and flexibility, bringing OpenAI models to customers: Google Cloud is now the only hyperscale cloud provider offering access to all three leading closed source LLMs, alongside more than 200 first-party, third-party, and open models on a unified enterprise AI platform.

Claude Opus 5.5 and Claude Sonnet 5.5 are now available in Google Antigravity: In keeping with Google Cloud's commitment to an open ecosystem and to give developers the right model for every job, Claude Opus 5.5 and Claude Sonnet 5.5 are now available in Google Antigravity for Google Cloud customers. Claude Opus 5.5 is built for complex work while Claude Sonnet 5.5 is a faster, lower-cost complement.

Claude Opus 5.5 and Claude Sonnet 5.5 are now available in Google Antigravity: In keeping with Google Cloud's commitment to an open ecosystem and to give developers the right model for every job, Claude Opus 5.5 and Claude Sonnet 5.5 are now available in Google Antigravity for Google Cloud customers. Claude Opus 5.5 is built for complex work while Claude Sonnet 5.5 is a faster, lower-cost complement.

Introducing Gemini for government services: Today we're bringing the Gemini agent to public service with Gemini for government services in preview, part of our new suite of purpose-built industry solutions. It adds skills built around government work, connections to the systems agencies already run, and specialized partner agents, with governance running underneath it all.

Introducing Gemini for government services: Today we're bringing the Gemini agent to public service with Gemini for government services in preview, part of our new suite of purpose-built industry solutions. It adds skills built around government work, connections to the systems agencies already run, and specialized partner agents, with governance running underneath it all.

Gemini Robotics Embodied Reasoning 2 is now available on Google Cloud: For the first time, organizations can pair Google DeepMind’s latest embodied reasoning model for robotics with the enterprise-grade security, multi-agent orchestration, and end-to-end lifecycle management of Google Cloud — making it easier to simulate, evaluate, and deploy safe, adaptive physical AI at scale.

Gemini Robotics Embodied Reasoning 2 is now available on Google Cloud: For the first time, organizations can pair Google DeepMind’s latest embodied reasoning model for robotics with the enterprise-grade security, multi-agent orchestration, and end-to-end lifecycle management of Google Cloud — making it easier to simulate, evaluate, and deploy safe, adaptive physical AI at scale.

Thought leadership (editor’s pick)

A new gear: How startups are advancing robotics with Google AI:We marked a major milestone in physical AI with the launch of Gemini Robotics Embodied Reasoning 2 (ER 2) on the Gemini platform and AI Studio, bringing Google DeepMind’s frontier multimodal reasoning and long-horizon task planning for robotics to Google Cloud. Read more from Darren Mowry, VP of Global Startups and Investor Ecosystem at Google, about the exciting work these startups are undertaking.

A new gear: How startups are advancing robotics with Google AI:We marked a major milestone in physical AI with the launch of Gemini Robotics Embodied Reasoning 2 (ER 2) on the Gemini platform and AI Studio, bringing Google DeepMind’s frontier multimodal reasoning and long-horizon task planning for robotics to Google Cloud. Read more from Darren Mowry, VP of Global Startups and Investor Ecosystem at Google, about the exciting work these startups are undertaking.

News you can use

Developer’s guide to implementing MCP apps in Gemini: Enterprise assistants still respond mostly in text. However, that can break down for visual, multi-step work, where every adjustment costs another slow chat turn. This guide takes you through implementation in Gemini.

Developer’s guide to implementing MCP apps in Gemini: Enterprise assistants still respond mostly in text. However, that can break down for visual, multi-step work, where every adjustment costs another slow chat turn. This guide takes you through implementation in Gemini.

Four evaluation engineering lessons learned from building agent plugins: Here are four eval lessons we learned from building the new plugin that you can apply to your own builds.

Four evaluation engineering lessons learned from building agent plugins: Here are four eval lessons we learned from building the new plugin that you can apply to your own builds.

Who judges the judge? Three helpful ways to audit your LLM evaluators: In this post, we explore what’s holding enterprises back from strong evals, and share an easy three-pillar method you can use to improve your quality.

Who judges the judge? Three helpful ways to audit your LLM evaluators: In this post, we explore what’s holding enterprises back from strong evals, and share an easy three-pillar method you can use to improve your quality.

Stay tuned for monthly updates on Google Cloud’s AI announcements, news, and best practices. For a deeper dive into the latest from Google Cloud customers, read our monthly recap, Cool stuff customers built.

September

This September, we brought you new how-to guides, model updates, and security innovations to help you find-and-fix. From Gemini 3.8 Live with Live Avatar to Mantis, there’s no shortage of new ways to apply AI to your work.

Notably, we announced Gemini 4 Argon, our next era of frontier intelligence. Gemini 4 Argon delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. You can learn more here.

Top announcements

Gemini 3.8 Live with Live Avatar is now generally available:Following our announcement of Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, Gemini 3.8 Live with Live Avatar is now generally available in Gemini Enterprise.

Gemini 3.8 Live with Live Avatar is now generally available:Following our announcement of Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, Gemini 3.8 Live with Live Avatar is now generally available in Gemini Enterprise.

Getting started with Mantis, our open-source bug finding-and-fixing harness:Available to all as an open-source framework, Mantis is part of Google’s internal approach to find and fix vulnerabilities at machine-speed. It creates a more effective scalable, context-aware repository analysis.

Getting started with Mantis, our open-source bug finding-and-fixing harness:Available to all as an open-source framework, Mantis is part of Google’s internal approach to find and fix vulnerabilities at machine-speed. It creates a more effective scalable, context-aware repository analysis.

Thought leadership (editor’s pick)

Racers, start your agents: Formula E brings realtime AI to the edge:Chasing records at the Goodwood Hillclimb, Formula E used Gemini Enterprise, Gemma, and a Pixel phone bolted to the dash to push the envelope of AI and edge computing.

Racers, start your agents: Formula E brings realtime AI to the edge:Chasing records at the Goodwood Hillclimb, Formula E used Gemini Enterprise, Gemma, and a Pixel phone bolted to the dash to push the envelope of AI and edge computing.

News you can use

Best practices guide for customizing Gemini models via Reinforcement Learning (RL):In this guide, we will walk through practical best practices for using RL fine-tuning service. We'll start with a short tour of the RL training loop, how to decide if and when to use RL, and introduce how to get the most value from this approach.

Empower your agents with the Google Cloud CLI remote MCP server: Powered by the popular gcloud and bq (BigQuery) command-line tools, this new server gives AI agents immediate, broad access to command-line operations for managing Google Cloud infrastructure and working with advanced BigQuery workflows securely and seamlessly.

Graph Workflows in ADK: Everything you need to know: Using a refund workflow in ADK, we'll cover fan-out and fan-in, deterministic and agent routers, human-in-the-loop pauses, parallel workers, and dynamic orchestration— along with when to use a static graph or let Python decide what runs next.

August

This month, we focused on making AI highly practical for your business, including its associated costs. This meant tailoring our models for specialized industries – starting with Financial Services and Legal – and helping you keep your budgets under control. Let’s dive in!

Top announcements

FinOps for the AI era: New flexible billing and cost controls for agents: To help you get better return on AI, we announced expanded billing flexibility and new cost management tools for agent workloads across Gemini Enterprise and developer tools like Google Antigravity in Gemini Enterprise and Android Studio.

FinOps for the AI era: New flexible billing and cost controls for agents: To help you get better return on AI, we announced expanded billing flexibility and new cost management tools for agent workloads across Gemini Enterprise and developer tools like Google Antigravity in Gemini Enterprise and Android Studio.

Gemini Enterprise for Financial Services: We’re bringing Google’s agentic AI directly into the workflows of capital markets and corporate banking.

Gemini Enterprise for Financial Services: We’re bringing Google’s agentic AI directly into the workflows of capital markets and corporate banking.

Gemini Enterprise for Legal: Gemini Enterprise for Legal provides an integrated, fully governed environment configured for rapid deployment across firms and corporate legal departments.

Gemini Enterprise for Legal: Gemini Enterprise for Legal provides an integrated, fully governed environment configured for rapid deployment across firms and corporate legal departments.

Expanding Google Antigravity for enterprise customers:Antigravity is available now as part of eligible Gemini Enterprise app subscriptions, including out-of-the-box administrative and spend controls.

Expanding Google Antigravity for enterprise customers:Antigravity is available now as part of eligible Gemini Enterprise app subscriptions, including out-of-the-box administrative and spend controls.

Thought leadership (editor’s pick):

Tokenomics: Why smart teams spend more on AI, on purpose: Hear from Eric Lam, Head of Value, Delta, Google Cloud Consulting about how disciplined organizations are moving past reactive sticker shock over AI bills and embracing tokenomics.

Tokenomics: Why smart teams spend more on AI, on purpose: Hear from Eric Lam, Head of Value, Delta, Google Cloud Consulting about how disciplined organizations are moving past reactive sticker shock over AI bills and embracing tokenomics.

Meet the researcher fighting AI hallucinations at Google Cloud: Cyrus is a senior research scientist at Google. Lately, his focus has shifted to large language models, specifically a persistent issue known as hallucination, which is when an artificial intelligence model lacks the correct facts but confidently invents an answer anyway.

Meet the researcher fighting AI hallucinations at Google Cloud: Cyrus is a senior research scientist at Google. Lately, his focus has shifted to large language models, specifically a persistent issue known as hallucination, which is when an artificial intelligence model lacks the correct facts but confidently invents an answer anyway.

What sports cars can teach us about optimizing AI spend: More tokens doesn't always mean better AI. Read our conversation with Mike Clark, Director of Product Management for Gemini Enterprise Agent Platform, on how to balance horsepower with efficiency and get the highest return out of every dollar you spend on AI.

What sports cars can teach us about optimizing AI spend: More tokens doesn't always mean better AI. Read our conversation with Mike Clark, Director of Product Management for Gemini Enterprise Agent Platform, on how to balance horsepower with efficiency and get the highest return out of every dollar you spend on AI.

News you can use:

Looking for a steer on your foundation or inspiration for your next project? Take a look at some of our favorite how-to guides from August:

10 questions every startup should answer before moving to production with their AI prototype: These ten are scoped to the prototype-to-production transition itself. Each question ends with a short, runnable snippet you can copy into your own project today. Adjacent decisions that matter just as much but aren't specific to that move, your data layer and RAG architecture, CI/CD, network design, are deliberately out of frame here.

10 questions every startup should answer before moving to production with their AI prototype: These ten are scoped to the prototype-to-production transition itself. Each question ends with a short, runnable snippet you can copy into your own project today. Adjacent decisions that matter just as much but aren't specific to that move, your data layer and RAG architecture, CI/CD, network design, are deliberately out of frame here.

Your chance to start building AI agents from the absolute basics: Agent Valley is a free, 5-week live learning series designed to take you from scratch to building your very own hands-on agent systems. And instead of staring at boring terminal lines, you’ll be building and playing inside a tiny, low-poly virtual world!

Your chance to start building AI agents from the absolute basics: Agent Valley is a free, 5-week live learning series designed to take you from scratch to building your very own hands-on agent systems. And instead of staring at boring terminal lines, you’ll be building and playing inside a tiny, low-poly virtual world!

July

Since launching the Gemini Enterprise Agent Platform a few months ago, we’ve watched businesses move from basic experiments to serious, production-grade builds. We want to make it even easier — and more secure — for you to scale those systems.

Along with a batch of new platform updates, this month we’ve put together 13 practical demos and 20 diagnostic questions to help your engineering teams align on a strong architectural blueprint. Let’s dive in!

Top announcements

What’s new in Gemini Enterprise Agent Platform: In this helpful recap, we announced some of our most popular capabilities are available for everyone, from Agent Runtime to Agent Identity.

What’s new in Gemini Enterprise Agent Platform: In this helpful recap, we announced some of our most popular capabilities are available for everyone, from Agent Runtime to Agent Identity.

Now in preview: Find and fix software vulnerabilities with CodeMender: As adversarial AI threats accelerate attacks on code, security teams must counter them with machine-speed defenses that can automate code remediation and fight AI with AI. You can learn more about CodeMender and review the documentation here.

Now in preview: Find and fix software vulnerabilities with CodeMender: As adversarial AI threats accelerate attacks on code, security teams must counter them with machine-speed defenses that can automate code remediation and fight AI with AI. You can learn more about CodeMender and review the documentation here.

Solve harder problems with AlphaEvolve, now available to everyone on Google Cloud: AlphaEvolve is a code optimization and discovery agent built on top of Gemini that helps solve the hardest algorithmic problems and achieve breakthroughs for your business and research.

Solve harder problems with AlphaEvolve, now available to everyone on Google Cloud: AlphaEvolve is a code optimization and discovery agent built on top of Gemini that helps solve the hardest algorithmic problems and achieve breakthroughs for your business and research.

Thought leadership (editor’s pick):

If automation requires delegation, then delegation requires trust. But letting an AI agent run on its own is a big leap for any business. While the productivity gains are clear, the fear of losing control is very real. This month, we sat down with our experts to discuss how leaders can navigate this shift by focusing on transparency, predictability, and setting clear boundaries for how agents handle weird data exceptions.

Here’s our picks for the month to learn more.

How leaders can scale AI by trading control for trust (Q&A): We sat down with Michael Gerstenhaber, VP of Product Management for Gemini Enterprise, to discuss why the future of AI is about defining safe boundaries.

How leaders can scale AI by trading control for trust (Q&A): We sat down with Michael Gerstenhaber, VP of Product Management for Gemini Enterprise, to discuss why the future of AI is about defining safe boundaries.

What makes an AI agent trustworthy: Context is fast becoming one of the most valuable assets a company owns. Prajakta Damle, Senior Director, Product Management, shares what it takes to get trustworthy AI right.

What makes an AI agent trustworthy: Context is fast becoming one of the most valuable assets a company owns. Prajakta Damle, Senior Director, Product Management, shares what it takes to get trustworthy AI right.

News you can use:

What if you’re looking for a steer on your basic foundation, inspiration for recipes, or some inspiration? Take a look at some of our favorite how-to guides from July:

Automate your agent development lifecycle using any coding agent: Stuck prototyping? With Agents CLI skills, you can go through the different phases of the entire agent lifecycle without ever leaving your coding agent.

Automate your agent development lifecycle using any coding agent: Stuck prototyping? With Agents CLI skills, you can go through the different phases of the entire agent lifecycle without ever leaving your coding agent.

Why AI apps fail in production (And how Google solved it): Only 5% of AI prototypes make it to production, and the other 95% fall into the validation abyss. How can you move confidently into production?

Why AI apps fail in production (And how Google solved it): Only 5% of AI prototypes make it to production, and the other 95% fall into the validation abyss. How can you move confidently into production?

13 hands-on demos to build on Gemini Enterprise Agent Platform: Not sure where to start with Agent Platform? Here’s 13 ways you can stir up some creativity.

13 hands-on demos to build on Gemini Enterprise Agent Platform: Not sure where to start with Agent Platform? Here’s 13 ways you can stir up some creativity.

June

Our main focus in June was helping your teams build, scale, and secure AI. Today, we’re sharing a fresh roundup of updates designed to help you run smarter, more secure applications while keeping everything under your control.

We even shared a cool virtual shopping demo at Cannes to show how retailers can make product discovery more exciting. Let’s dive in!

Top announcements

Introducing the Open Knowledge Format: We introduced the Open Knowledge Format (OKF), an open specification that formalizes the LLM-wiki pattern into a portable, interoperable format. This is a vendor-neutral, agent- and human-friendly standard for representing the metadata, context, and curated knowledge that modern AI systems need.

Introducing the Open Knowledge Format: We introduced the Open Knowledge Format (OKF), an open specification that formalizes the LLM-wiki pattern into a portable, interoperable format. This is a vendor-neutral, agent- and human-friendly standard for representing the metadata, context, and curated knowledge that modern AI systems need.

Collaboration with Apple on its expanded Private Cloud Compute (PCC) systems: Our collaboration with Apple is built on a foundation of deep commitment to privacy that leverages Google Cloud's security and privacy technologies. At the heart of this collaboration is our Confidential Computing portfolio and our Titanium security architecture.

Collaboration with Apple on its expanded Private Cloud Compute (PCC) systems: Our collaboration with Apple is built on a foundation of deep commitment to privacy that leverages Google Cloud's security and privacy technologies. At the heart of this collaboration is our Confidential Computing portfolio and our Titanium security architecture.

Claude Fable 5: Available on Google Cloud:Claude Fable 5, Anthropic’s latest frontier model, is now generally available on Google Cloud. This launch is the latest proof point of our ongoing commitment to bring the industry's latest models straight to our Agent Platform.

Claude Fable 5: Available on Google Cloud:Claude Fable 5, Anthropic’s latest frontier model, is now generally available on Google Cloud. This launch is the latest proof point of our ongoing commitment to bring the industry's latest models straight to our Agent Platform.