Agent Observability is now GA as a cornerstone of the Gemini Enterprise Agent Platform, providing the critical telemetry needed to debug, evaluate, and scale non-deterministic AI agent swarms.
Agent Gateway: Deterministic Control for Probabilistic Agents
AI agents are probabilistic, but enterprise governance must be deterministic. Discover why the Agent Gateway is the missing infrastructure layer for scaling secure AI.
4x Faster Than Opus: Gemini 3.5 Flash Sets a New Bar
Gemini 3.5 Flash hits Opus IQ at 4x speed. The new data shows how ending the AI latency tax lets ISVs build fast, smart, real-time agents for the enterprise now.
Gemini Spark: Google’s Always-On Personal AI Agent
Most AI features disappear into settings menus. Gemini Spark is different. It’s a 24/7 background agent that acts before you even think to ask.
Building Better Agents: Why Google’s Agents CLI and ADK 2.0 Change the Game
Learn how the Agents CLI in Agent Platform integrates directly into your favorite coding tools to build, test, and deploy robust ADK 2.0 agents without breaking focus.
Stop Trusting System Prompts: Why You Need Agent Gateway
Stop trusting agents to do what they’re told in their system prompts. Too often, they don’t. Agent Gateway fixes this vulnerability by embedding strict IAM policies directly into the network fabric.
If You’re Not Using Gemini 3.1 Flash-Lite Yet, This Post Is For You
Gemini 3.1 Flash-Lite is now GA. It is 5x faster than GPT-5 Mini, costs less per output token than every competitor, and dominates benchmarks. Here is what ISVs need to know.
Chatbots Were Always a Stopgap: A2UI Will Change Everything
For years, we’ve forced autonomous agents to communicate through scrolling text windows. Google’s new A2UI protocol fixes that, allowing agents to stream interactive interfaces natively.
Breaking the Text Barrier: Gemini API File Search Goes Multimodal
The Gemini API File Search tool now supports natively multimodal RAG with Embedding 2, inline citations, and custom metadata filters.
The 2026 AI Index: Navigating the Year’s Most Important Benchmark
The 2026 Stanford AI Index is out. Here are the key takeaways on agentic AI, the enterprise scaling gap, and navigating the year’s most important benchmark.
Google’s Universal Commerce Protocol: The Engine of Agentic Commerce
Google’s recently announced Universal Commerce Protocol (UCP) is the final piece of the agentic commerce puzzle, enabling AI agents to handle the entire shopping journey from discovery to checkout.
The Zero-Copy Mandate: Why Spotify’s Lakehouse Strategy Matters for ISVs
Spotify eliminated data silos using Google Cloud’s zero-copy Lakehouse. Learn how ISVs can leverage the same Apache Iceberg architecture to accelerate product innovation.
The Agentic Data Cloud and “Systems of Action”
Google Cloud just announced the Agentic Data Cloud at Next 2026. Here’s a look at what we know so far about the shift from passive data repositories to active systems of action.
Google Just Placed a $750 Million Bet on Your Agentic Future
Google’s $750 million innovation fund isn’t just marketing. It’s a massive subsidy for ISVs to abandon passive chatbots and build autonomous agents on the Gemini platform before competitors do.
Google Cloud Next ’26: Opening Keynote Takeaways
The Google Cloud Next ’26 opening keynote marked the end of the AI pilot phase. Discover what the shift to the agentic enterprise means for ISVs.
Google Cloud Next ’26: Predictions
Google Cloud Next ’26 marks the shift from chatbots to the Agentic Enterprise. From 8th Gen TPUs to the GKE Agent Sandbox, here are our top technical predictions for ISVs building on Google Cloud and scaling autonomous software.
The AI Data Leak Hiding in Your Memory
When AI models process sensitive data, it gets decrypted in system memory, leaving it vulnerable. Discover how GCP Confidential Computing and NVIDIA H100 GPUs use hardware-level encryption to secure your workloads.
Google’s Cybersecurity Forecast 2026: Prompt Injection Is Growing Up
Google’s Cybersecurity Forecast 2026 reveals prompt injection is maturing into a primary attack vector. Learn why ISVs must move beyond system prompts and implement true defense in depth to secure their AI agents.
Valkey 9.0 Is Faster Than Redis. Now What?
Valkey 9.0 is now production-ready on Google Cloud. Snap, Juspay, and Fubo are already running it at scale. The result: 40% throughput gains, better developer tooling, and zero licensing drama. The Redis tax is officially optional.
The End of AI Hallucinations: Vertex AI RAG Engine
Stop your agents from hallucinating with Vertex AI RAG Engine. Ground your models in both private enterprise data and live Google Search results for 99.3% factual consistency.
Cloud Spanner and TrueTime: Google’s Physics-Based Moat
Cloud Spanner’s TrueTime gives it a consistency guarantee that no software-only competitor can match. Here’s why that matters for ISVs building mission-critical global products.
TurboQuant is Kind of a Big Deal.
Google Research just published a way to cut AI serving costs by 50% with zero accuracy loss. The interesting part is what happens to the ISVs who figure this out first.
Building Agents Is Easy. Infrastructure? Not So Much.
Building AI agents shouldn’t mean building agent infrastructure. Vertex AI Agent Builder handles the runtime, governance, and Google Search grounding so you can focus on what the agent actually does.
The Generative Media Suite ISVs Have Been Waiting For.
Veo 3 generates video with native audio. Imagen 4 renders at 2K. Lyria 3 Pro writes full songs. All on Vertex AI, all under one bill.
Beyond the Box Score: How MLB Built a Digital Scout
Delivering clever AI commentary to millions of baseball fans in under two seconds is a massive engineering challenge. Here’s how MLB used Gemini, pre-generation, and “surprisal” math to pull it off.
AP2 Is How AI Agents Earn the Right to Spend Your Money
AI agents that transact on your behalf are coming. AP2 is Google’s open protocol for making sure there’s a verifiable, auditable record of what the agent was authorized to do.
The Agentic Future Is a Governance Problem as Much as a Technology Problem
Most enterprise AI projects don’t fail because the technology doesn’t work. They fail because no one built the infrastructure to let it work at scale.
Most Enterprise AI Is Blind to 80% of Your Data
Your AI reads text just fine. It’s the contracts, recordings, and images it can’t touch that are going to cost you.
You Could Build Your Own Vector Search Stack. You Probably Shouldn’t.
Vertex AI Vector Search 2.0 went GA in March 2026. For ISVs building on Google Cloud, it collapses embedding pipelines, indexing, feature stores, and hybrid search into one managed service, so you can ship AI features instead of building infrastructure.
A SIEM That Doesn’t Charge More When Things Go Wrong?
Your SIEM bill spikes exactly when you need it least. Google Security Operations runs on flat-rate pricing, bundles Mandiant threat intelligence natively, and uses Gemini AI to let junior analysts hunt threats in plain English. Here’s why that changes the economics of running a modern SOC.
- Page 1 of 2
- 1
- 2